Large Language Model Operations (LLMOps) Specialization

About Course

Unlock the power of Large Language Models (LLMs) with this comprehensive specialization from Duke University on Coursera. **Completely FREE!**

This specialization delves into the world of LLMOps, providing practical skills to deploy, manage, and optimize LLMs on platforms like Azure, AWS, Databricks, local infrastructure, and open-source solutions. Learn essential topics like generative AI, open-source LLM management, and hands-on experience with real-world projects.

**This FREE course covers:**

Generative AI techniques
Open-source LLM management
Deploying LLMs on Azure, AWS, Databricks, and local infrastructure
Building applications with Azure AI Service
Creating powerful prompts with LLM frameworks
Running local LLM models using external APIs and cloud services
Constructing chatbots using vector databases

Gain practical experience through over 20 hands-on projects designed by industry experts. This specialization prepares you for roles like Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist, and LLMOps Consultant.

**This course is completely FREE and available on Theetay. We offer a wide range of courses from top platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more. Start learning today!**

Azure Databricks
Learn to utilize Generative AI for automation.
Develop Generative AI software solutions.
Build solutions with Prompt Engineering to enhance Generative AI output.
Gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs).
Develop advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment.
Acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG)

Course Content

01. Introduction to Generative AI

A Message from the Professor
003 001_meet-your-course-instructor-alfredo-deza.mp4

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006 002_meet-your-course-instructor-derek-wales.mp4

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007 003_connect-with-your-instructors_instructions.html

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010 004_about-this-course.mp4

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011 005_course-structure-and-discussion-etiquette_instructions.html

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012 001_key-terms_instructions.html

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015 002_introduction.mp4

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018 003_what-is-generative-ai.mp4

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021 004_brief-history-and-evolution-of-ai.mp4

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022 005_history-of-artificial-intelligence_instructions.html

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025 006_how-do-large-language-models-work-in-applications.mp4

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028 007_how-are-large-language-models-created.mp4

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029 008_understanding-large-language-models_instructions.html

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032 009_summary.mp4

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033 001_key-terms_instructions.html

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036 002_introduction.mp4

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039 003_what-are-llms-and-how-do-they-work.mp4

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042 004_benefits-and-risks-of-using-llms.mp4

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045 005_mitigating-risks-of-llms.mp4

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046 006_external-lab-trigger-inaccuracy-in-a-model_instructions.html

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049 007_what-are-foundation-models.mp4

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050 008_foundation-models-and-the-next-era-of-ai_instructions.html

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053 009_summary.mp4

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054 001_key-terms_instructions.html

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057 002_introduction.mp4

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060 003_openai-and-chatgpt.mp4

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063 004_hugging-face-and-open-source-models.mp4

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064 005_external-lab-interact-with-hosted-models_instructions.html

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067 006_using-local-models.mp4

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070 007_cloud-based-solutions.mp4

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071 008_graded-quiz_exam.html

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074 009_summary.mp4

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075 001_key-terms_instructions.html

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078 002_introduction.mp4

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081 003_what-is-prompt-engineering.mp4

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084 004_zero-one-and-few-shot-prompting.mp4

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087 005_basic-prompting-with-context.mp4

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090 006_using-examples-in-prompts.mp4

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091 007_external-lab-practice-zero-one-and-few-shot-prompting_instructions.html

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094 008_summary.mp4

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095 001_key-terms_instructions.html

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098 002_introduction.mp4

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101 003_setting-tone-and-persona.mp4

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104 004_refining-on-previous-context.mp4

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107 005_better-instructions-through-feedback.mp4

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110 006_understanding-limitations.mp4

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111 007_strategies-for-better-results-with-prompt-engineering_instructions.html

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114 008_summary.mp4

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115 001_key-terms_instructions.html

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118 002_introduction.mp4

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121 003_limitations-of-context.mp4

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124 004_breaking-down-into-smaller-tasks.mp4

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127 005_using-chain-of-thought.mp4

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130 006_other-useful-prompting-techniques.mp4

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131 007_graded-quiz_exam.html

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134 008_summary.mp4

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135 001_key-terms_instructions.html

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138 002_introduction.mp4

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141 003_common-types-of-generative-ai-applications.mp4

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144 004_overview-of-an-api-based-application.mp4

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147 005_overview-of-an-embedded-model-application.mp4

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150 006_what-is-a-multi-model-application.mp4

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153 007_summary.mp4

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154 001_key-terms_instructions.html

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157 002_introduction.mp4

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160 003_what-is-rag.mp4

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163 004_overview-of-a-rag-application.mp4

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166 005_managing-data-for-rag.mp4

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169 006_verifying-embeddings-and-search.mp4

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172 007_using-rag-with-an-llm.mp4

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175 008_summary.mp4

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177 009_external-lab-create-a-rag-with-llm-using-your-own-data_instructions.html

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178 001_key-terms_instructions.html

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181 002_introduction.mp4

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184 003_application-overview.mp4

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187 004_deployment-overview.mp4

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190 005_setting-up-cloud-components.mp4

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193 006_using-the-azure-cloud-for-deployment.mp4

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194 007_external-lab-create-a-rag-http-api_instructions.html

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198 008_summary.mp4

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199 009_graded-quiz_exam.html

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202 001_meet-your-course-instructor-derek-wales.mp4

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205 002_dall-e-overview.mp4

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206 003_key-references_instructions.html

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207 004_how-dall-e-2-works_instructions.html

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208 005_prerequisites-and-getting-started_instructions.html

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211 006_demo-environment-set-up.mp4

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214 007_demo-openai-api-generating-a-shopping-list.mp4

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217 008_demo-dall-e-to-generate-an-image.mp4

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220 009_openai-dall-e-summary.mp4

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223 001_openai-fine-tuning-and-project-intro.mp4

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224 002_fine-tuning-resources_instructions.html

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229 003_fine-tuning-project-part-one-env-data-prep.mp4

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233 004_fine-tuning-project-part-two-starting-fine-tuning.mp4

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236 005_fine-tuning-project-part-three-model-evaluation.mp4

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238 006_external-lab-fine-tuning-w-gpus_fine-tuning-notebook.html

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242 007_fine-tuning-summary.mp4

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245 001_openai-whisper-model-project-overview.mp4

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246 002_key-documentation_instructions.html

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249 003_video-summarizer-walkthrough.mp4

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252 004_whisper-model-api-wrap-up.mp4

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255 001_ai-business-environment.mp4

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258 002_ai-ethics-principles.mp4

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259 003_openai-safety-best-practices_instructions.html

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262 004_local-machine-learning-models-next-course-preview.mp4

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263 005_module-quiz_exam.html

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266 006_module-wrap-up.mp4

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267 001_next-steps_instructions.html

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270 002_course-summary.mp4

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links.txt

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Section Quiz

02. Operationalizing LLMs on Azure

001 001_meet-your-instructor-alfredo-deza.en.srt

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004 002_connect-with-your-instructor_instructions.html

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007 003_about-this-course.mp4

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008 004_course-structure-and-discussion-etiquette_instructions.html

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011 001_introduction.mp4

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014 002_introduction-to-the-azure-portal.mp4

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015 003_external-lab-create-an-azure-account_instructions.html

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018 004_using-microsoft-learn.mp4

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021 005_identifying-the-azure-ai-solutions.mp4

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024 006_introduction-to-azure-machine-learning.mp4

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027 007_introduction-to-azure-open-ai-service.mp4

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030 008_summary.mp4

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031 009_what-is-azure-openai-service_instructions.html

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032 010_what-is-azure-machine-learning_instructions.html

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035 001_introduction.mp4

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038 002_what-are-llms-and-how-do-they-work.mp4

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041 003_benefits-and-risks-of-using-llms.mp4

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044 004_mitigating-risks-of-llms.mp4

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047 005_introduction-to-llmops.mp4

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050 006_summary.mp4

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051 007_an-introduction-to-llmops_instructions.html

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054 001_introduction.mp4

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057 002_discover-and-evaluate-llms-in-azure.mp4

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060 003_deployment-options-for-inferencing.mp4

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063 004_what-is-the-azure-ai-content-safety-feature.mp4

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066 005_azure-machine-learning-and-azure-open-ai-service-differences.mp4

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067 006_external-lab-explore-azure-machine-learning-studio_instructions.html

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070 007_summary.mp4

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071 008_what-is-azure-content-safety_instructions.html

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072 009_introduction-to-llmops-with-azure_exam.html

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075 001_introduction.mp4

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078 002_gpu-quotas-and-availability.mp4

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081 003_creating-a-compute-resource.mp4

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082 004_azure-ml-create-resources_instructions.html

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085 005_deploying-the-model.mp4

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088 006_using-the-inference-api.mp4

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091 007_summary.mp4

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092 008_external-lab-create-a-compute-resource_instructions.html

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095 001_introduction.mp4

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098 002_getting-access-to-azure-openai-service.mp4

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101 003_creating-an-azure-openai-service-resource.mp4

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104 004_deploy-an-openai-model.mp4

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107 005_using-the-playground.mp4

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110 006_summary.mp4

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111 007_external-lab-use-the-azure-openai-service-playground_instructions.html

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114 001_introduction.mp4

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117 002_using-keys-and-endpoints.mp4

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120 003_creating-a-simple-python-example.mp4

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123 004_reviewing-usage-and-quotas.mp4

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126 005_cleaning-up-resources.mp4

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129 006_summary.mp4

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130 007_llms-with-azure_exam.html

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131 008_external-lab-using-azure-openai-apis_instructions.html

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134 001_introduction.mp4

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137 002_what-is-semantic-kernel.mp4

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140 003_using-semantic-kernel-with-azure.mp4

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143 004_using-a-system-prompt.mp4

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146 005_advanced-system-prompts.mp4

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149 006_summary.mp4

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150 007_external-lab-using-semantic-kernel-with-azure_instructions.html

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153 001_introduction.mp4

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156 002_overview-of-functions.mp4

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159 003_defining-functions.mp4

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162 004_using-the-function-with-the-llm.mp4

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165 005_working-with-errors.mp4

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168 006_summary.mp4

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169 007_external-lab-using-functions_instructions.html

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172 001_introduction.mp4

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175 002_creating-a-glue-function.mp4

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178 003_consuming-function-arguments.mp4

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181 004_using-a-native-function.mp4

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184 005_overview-of-a-microservice-for-functions.mp4

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187 006_using-an-external-microservice-api.mp4

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190 007_summary.mp4

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191 008_functions-and-plugins_exam.html

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192 009_external-lab-use-native-functions_instructions.html

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195 001_introduction.mp4

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198 002_architectural-overview.mp4

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201 003_what-is-rag.mp4

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204 004_overview-of-azure-ai-search.mp4

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207 005_automation-and-deployment-with-github.mp4

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210 006_summary.mp4

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211 007_external-lab-create-an-azure-ai-search-resource_instructions.html

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212 008_azure-ai-document-intelligence-and-azure-openai_instructions.html

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215 001_introduction.mp4

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218 002_create-the-azure-resources.mp4

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219 003_introduction-to-rag_instructions.html

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222 004_create-the-embeddings.mp4

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225 005_create-and-upload-the-index.mp4

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228 006_verifying-the-embeddings.mp4

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231 007_using-rag-with-azure-openai.mp4

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234 008_summary.mp4

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236 009_external-lab-create-embeddings-in-an-index_instructions.html

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239 001_introduction.mp4

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242 002_application-overview.mp4

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245 003_setting-up-azure-components.mp4

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248 004_architectural-overview.mp4

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251 005_using-github-actions-with-azure.mp4

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254 006_verifying-and-troubleshooting-deployments.mp4

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257 007_summary.mp4

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258 008_azure-container-apps_instructions.html

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259 009_external-lab-deploy-an-end-to-end-application_instructions.html

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260 010_end-to-end-llm-applications_exam.html

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261 011_next-steps_instructions.html

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links.txt

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Section Quiz

03. Advanced Data Engineering

003 001_meet-your-instructor-alfredo-deza.mp4

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004 002_connect-with-your-instructor_instructions.html

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005 003_meet-your-instructor-noah-gift_instructions.html

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008 004_about-this-course.mp4

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009 005_course-structure-and-discussion-etiquette_instructions.html

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010 001_key-terms_instructions.html

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013 002_introduction.mp4

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016 003_overview-of-queues.mp4

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019 004_what-is-celery.mp4

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020 005_introduction-to-celery_instructions.html

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024 006_use-cases-for-rabbitmq.mp4

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025 007_using-rabbitmq-with-docker_instructions.html

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028 008_overview-of-a-flask-and-celery-application.mp4

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031 009_summary.mp4

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032 010_external-lab-start-rabbitmq-in-a-development-environment_instructions.html

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033 011_introduction-to-rabbitmq-and-flask_quiz.html

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034 001_key-terms_instructions.html

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037 002_introduction.mp4

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040 003_configuring-celery-with-flask.mp4

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041 004_build-a-web-app-by-using-python-and-flask_instructions.html

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042 005_background-tasks-with-celery_instructions.html

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045 006_connecting-celery-with-rabbitmq.mp4

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048 007_defining-a-celery-task-in-flask.mp4

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051 008_fire-and-forget-task-in-flask.mp4

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054 009_retrieve-values-from-asynchronous-tasks.mp4

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057 010_summary.mp4

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058 011_external-lab-add-a-new-celery-task-for-rabbitmq_instructions.html

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059 012_rabbitmq-with-celery-and-flask_quiz.html

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060 001_key-terms_instructions.html

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063 002_mysql-overview.mp4

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064 003_getting-started-with-mysql_instructions.html

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068 004_mysql-from-terminal.mp4

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071 005_archive-and-drop-database.mp4

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074 006_import-external-database-sakila.mp4

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077 007_modify-database-sakila.mp4

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080 008_bash-pipelines-with-mysql.mp4

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083 009_mysql-to-python-standard-library-web-server.mp4

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084 010_quiz-mysql-for-data-engineering_quiz.html

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085 011_lesson-reflection_instructions.html

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086 012_queues-and-databases-final-week-quiz_exam.html

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087 001_key-terms_instructions.html

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090 002_introduction.mp4

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091 003_what-is-apache-airflow_index.html

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095 004_what-is-apache-airflow.mp4

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098 005_installing-apache-airflow-from-pypi.mp4

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099 006_exploring-the-airflow-user-interface_instructions.html

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103 007_using-apache-airflow-with-docker.mp4

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106 008_exploring-the-airflow-ui.mp4

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107 009_external-lab-install-apache-airflow_instructions.html

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108 010_lesson-reflection_instructions.html

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109 011_quiz-installing-apache-airflow_quiz.html

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110 001_key-terms_instructions.html

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113 002_introduction.mp4

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116 003_exploring-directed-acyclic-graphs-dag.mp4

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117 004_external-lab-create-a-dag_instructions.html

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121 005_creating-a-dag.mp4

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122 006_architecture-overview_instructions.html

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126 007_running-a-backfill.mp4

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129 008_testing-and-validation.mp4

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132 009_summary.mp4

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133 010_quiz-apache-airflow-fundamentals_quiz.html

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134 011_lesson-reflection_instructions.html

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135 001_key-terms_instructions.html

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138 002_introduction.mp4

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139 003_external-lab-build-a-data-pipeline-for-census-data_instructions.html

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141 004_build-data-pipelines-with-apache-airflow_instructions.html

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144 005_identifying-a-task-to-build-a-dag.mp4

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147 006_retrieving-remote-data.mp4

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150 007_cleaning-and-normalizing-data.mp4

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153 008_inspecting-the-ui-for-results.mp4

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156 009_summary.mp4

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157 010_lesson-reflection_instructions.html

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158 011_quiz-creating-a-pipeline_quiz.html

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159 012_final-week-quiz-optimizing-workflow-management-at-scale-with-apache-airflow_exam.html

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160 001_key-terms_instructions.html

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163 002_picking-the-proper-database.mp4

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166 003_what-are-vector-databases-and-how-they-work.mp4

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169 004_implementing-semantic-search.mp4

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172 005_quickstart-qdrant.mp4

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175 006_qdrant-rust-client.mp4

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178 007_vector-database-architectures.mp4

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181 008_hands-on-lab-enhance-semantic-search.mp4

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182 009_what-is-a-vector-database_instructions.html

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183 010_external-lab-run-quickstart-of-qdrant_instructions.html

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184 011_external-lab-extend-semantic-search_instructions.html

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185 012_jaccard-index_instructions.html

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186 013_quiz-introduction-to-vector-databases_quiz.html

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187 014_lesson-reflection_instructions.html

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188 001_key-terms_instructions.html

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191 002_graph-data-models-and-database-concepts.mp4

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194 003_introduction-to-amazon-neptune.mp4

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197 004_graph-algorithms-ufc-graph-centrality-in-rust.mp4

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200 005_kosaraju-community-detection-in-graphs.mp4

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203 006_shortest-path-with-graphs.mp4

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206 007_key-components-of-rust-cli-tool.mp4

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209 008_lab-walkthrough-building-a-rust-graph-cli-tool.mp4

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210 009_rust-cli-with-clap_instructions.html

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211 010_external-lab-rust-graph-cli-tool_instructions.html

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213 011_amazon-neptune_graph-get-started.html

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215 012_lesson-reflection_instructions.html

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216 013_quiz-introduction-to-graph-databases_quiz.html

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217 014_final-quiz-achieving-scalability-with-vector-graph-and-key-value-databases_exam.html

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218 001_key-terms_instructions.html

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219 002_amazon-codecatalyst_instructions.html

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222 003_learn-aws-cloudshell-for-dynamo-development.mp4

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225 004_learn-aws-codecatalyst-for-dynamo-development.mp4

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228 005_leveraging-aws-codewhisperer-for-dynamo-development.mp4

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231 006_create-a-table-with-cli.mp4

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234 007_populate-a-table-with-batching-records.mp4

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237 008_query-a-table-with-records.mp4

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240 009_project-walkthrough.mp4

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241 010_external-lab-extended-dynamodb_instructions.html

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242 011_lesson-reflection_instructions.html

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243 012_quiz-building-a-solution-with-dynamodb-with-the-aws-cli_quiz.html

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244 001_key-terms_instructions.html

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247 002_introduction.mp4

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250 003_overview-of-a-pipeline-requirements.mp4

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253 004_using-sqlalchemy-with-pandas.mp4

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254 005_quick-start-for-sqlalchemy_instructions.html

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258 006_persisting-data-in-a-task.mp4

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261 007_reviewing-the-results.mp4

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264 008_summary.mp4

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265 009_explore-and-analyze-data-with-python_instructions.html

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266 010_lesson-reflection_instructions.html

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267 011_quiz-persisting-data-through-a-multi-task-dag-with-pandas_quiz.html

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268 001_final-quiz-advanced-data-engineering_exam.html

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269 002_recommended-next-steps_instructions.html

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Section Quiz

04. GenAI and LLMs on AWS

003 001_course-introduction.mp4

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005 003_course-structure-and-discussion-etiquette_instructions.html

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006 001_key-terms_instructions.html

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008 002_aws-cloud-adoption-framework-for-ai_instructions.html

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011 003_cloud-service-model-for-ai.mp4

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014 004_cloud-deployment-model-for-ai.mp4

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017 005_benefits-of-cloud-computing.mp4

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022 008_lesson-reflection_instructions.html

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023 001_key-terms_instructions.html

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026 002_development-environments-for-ai.mp4

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029 003_mlops-challenges-and-opportunities-in-rust-and-python.mp4

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032 004_generative-ai-workflow-for-rust.mp4

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035 005_python-for-data-science-in-the-era-of-rust-and-genai.mp4

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038 006_emerging-rust-llmops-workflows.mp4

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041 007_getting-started-with-code-catalyst-for-rust.mp4

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044 009_rust-by-example_instructions.html

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051 012_launch-a-code-editor-application-in-studio_code-editor-use-studio.html

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055 013_getting-started-lightsail-for-research.mp4

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059 016_quiz-set-up-ai-focused-development-environments_quiz.html

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063 002_diagram-of-serverless-with-aws-bedrock-service.mp4

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074 006_diagram-serverless-options-for-rust.mp4

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100 002_codewhisperer-for-rust-in-cloud9.mp4

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104 004_llms-for-coding_instructions.html

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106 005_lesson-reflection_instructions.html

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110 002_install-and-configurecodewhisperer-cli.mp4

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114 004_using-codewhisperer-cli.mp4

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117 005_building-bash-cli.mp4

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120 006_bash-functions.mp4

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125 002_key-components-of-amazon-bedrock.mp4

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129 005_external-lab-amazon-bedrock-prompt-engineering-challenge_instructions.html

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131 001_key-terms_instructions.html

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134 002_exploring-the-boto3-bedrock-client-python-sdk.mp4

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137 003_exploring-the-cargo-rust-sdk.mp4

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140 004_invoking-python-list-models.mp4

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141 005_external-lab-challenge-python-list-bedrock-foundation-models_instructions.html

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144 006_invoking-rust-list-models.mp4

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145 007_lesson-reflection_instructions.html

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146 001_key-terms_instructions.html

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147 002_using-foundation-models_instructions.html

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150 003_claude3-technical-deep-dive-for-bedrock_instructions.html

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153 004_invoking-claude-via-bedrock-runtime-api.mp4

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154 005_agents-for-amazon-bedrock_agents-how.html

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156 006_knowledge-base_instructions.html

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158 007_external-lab-invoking-foundation-models-in-python-with-boto3_instructions.html

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159 008_lesson-reflection_instructions.html

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160 001_key-terms_instructions.html

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163 002_introduction-to-cargo-lambda.mp4

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164 003_cargo-lambda_getting-started.html

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168 004_building-rust-add-function-for-aws-lambda.mp4

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169 005_challenge-lab-bedrock-agents_agents-how.html

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171 001_external-lab-prompt-engineering-rust-challenge_instructions.html

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Section Quiz

05. Databricks to Local LLMs

004 002_lesson-key-terms_instructions.html

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007 003_introduction-to-the-databricks-lakehouse-platform.mp4

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001 001_meet-your-course-instructor-noah-gift.en.srt

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006 003_introduction-to-the-databricks-lakehouse-platform.en.txt

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010 004_overview-of-the-databricks-architecture.mp4

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005 003_introduction-to-the-databricks-lakehouse-platform.en.srt

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013 005_creating-and-managing-clusters.mp4

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008 004_overview-of-the-databricks-architecture.en.srt

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016 006_configuring-cluster-runtimes.mp4

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011 005_creating-and-managing-clusters.en.srt

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019 007_terminating-clusters.mp4

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014 006_configuring-cluster-runtimes.en.srt

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022 008_restarting-clusters.mp4

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017 007_terminating-clusters.en.srt

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025 009_filtering-the-clusters-list.mp4

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020 008_restarting-clusters.en.srt

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028 010_all-purpose-vs-job-clusters.mp4

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023 009_filtering-the-clusters-list.en.srt

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029 011_what-is-a-lakehouse-platform_instructions.html

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026 010_all-purpose-vs-job-clusters.en.srt

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031 012_managing-clusters_instructions.html

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032 013_external-lab-databricks-lakehouse-platform_instructions.html

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033 014_reflection-lesson-1-databricks-lakehouse-platform_instructions.html

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034 015_quiz-databricks-lakehouse-platform_quiz.html

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035 001_key-terms_instructions.html

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038 002_setup-intellij-for-databricks-with-go.mp4

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041 003_installing-and-using-databricks-cli.mp4

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036 002_setup-intellij-for-databricks-with-go.en.srt

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044 004_installing-and-using-databricks-for-rstudio.mp4

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039 003_installing-and-using-databricks-cli.en.srt

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047 005_introduction-to-notebooks.mp4

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042 004_installing-and-using-databricks-for-rstudio.en.srt

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050 006_executing-notebooks.mp4

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045 005_introduction-to-notebooks.en.srt

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056 008_multi-language-support.mp4

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059 009_databricks-repos-overview.mp4

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054 008_multi-language-support.en.srt

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060 010_rstudio-on-databricks_instructions.html

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057 009_databricks-repos-overview.en.srt

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062 011_setting-up-intellij-for-databricks_instructions.html

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064 012_lesson-reflection_instructions.html

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065 013_quiz-data-transformation-with-apache-spark_quiz.html

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066 001_lesson-key-terms_instructions.html

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069 002_efficient-data-transformation-with-spark-sql.mp4

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072 003_using-catalog-explorer.mp4

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067 002_efficient-data-transformation-with-spark-sql.en.srt

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075 004_creating-tables-from-files.mp4

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070 003_using-catalog-explorer.en.srt

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078 005_querying-external-data-sources.mp4

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073 004_creating-tables-from-files.en.srt

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081 006_inspecting-tables.mp4

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076 005_querying-external-data-sources.en.srt

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084 007_reliable-data-pipelines-with-delta-lake.mp4

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079 006_inspecting-tables.en.srt

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087 008_acid-transactions.mp4

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082 007_reliable-data-pipelines-with-delta-lake.en.srt

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090 009_z-ordering-optimization.mp4

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085 008_acid-transactions.en.srt

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091 010_data-skipping-with-delta-lake_data-skipping.html

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088 009_z-ordering-optimization.en.srt

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093 011_tutorial-copy-into-with-spark-sql_instructions.html

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095 012_quiz-data-management-with-delta-lake_quiz.html

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096 013_final-quiz-databricks-lakehouse-platform-fundamentals_exam.html

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097 014_lesson-reflection_instructions.html

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098 001_key-terms_instructions.html

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101 002_table-documentation.mp4

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104 003_automated-pipelines-with-delta-live-tables.mp4

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099 002_table-documentation.en.srt

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107 004_delta-live-tables-components.mp4

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102 003_automated-pipelines-with-delta-live-tables.en.srt

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110 005_continuous-vs-triggered-pipelines.mp4

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105 004_delta-live-tables-components.en.srt

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113 006_configuring-auto-loader.mp4

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108 005_continuous-vs-triggered-pipelines.en.srt

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116 007_querying-pipeline-events.mp4

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111 006_configuring-auto-loader.en.srt

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119 008_end-to-end-example-delta-live.mp4

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114 007_querying-pipeline-events.en.srt

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122 009_vacuum-and-garbage-collect.mp4

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117 008_end-to-end-example-delta-live.en.srt

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123 010_external-lab-real-time-data-analytics-with-delta-live-tables_instructions.html

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124 011_quiz-data-pipelines-with-delta-live-tables_quiz.html

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120 009_vacuum-and-garbage-collect.en.srt

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125 012_lesson-reflection_instructions.html

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126 001_key-terms_instructions.html

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127 002_external-lab-orchestrating-batch-jobs-for-reporting_instructions.html

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130 003_orchestrating-workloads-with-jobs.mp4

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133 004_databricks-jobs-demo.mp4

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128 003_orchestrating-workloads-with-jobs.en.srt

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136 005_multi-task-workflows.mp4

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131 004_databricks-jobs-demo.en.srt

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137 006_task-dependencies.en.srt

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148 009_handling-failures.mp4

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151 010_configuring-retries.mp4

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146 009_handling-failures.en.srt

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152 011_lesson-reflection_instructions.html

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153 012_quiz-workloads-with-jobs_quiz.html

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149 010_configuring-retries.en.srt

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157 002_unified-data-access-with-unity-catalog.mp4

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160 003_catalogs-vs-metastores.mp4

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155 002_unified-data-access-with-unity-catalog.en.srt

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158 003_catalogs-vs-metastores.en.srt

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166 005_applying-object-security.mp4

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161 004_unity-catalog-quickstart-python.en.srt

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169 006_best-practices-for-catalogs.mp4

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164 005_applying-object-security.en.srt

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167 006_best-practices-for-catalogs.en.srt

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172 007_best-practices-for-connections.mp4

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175 008_best-practices-for-business-units.mp4

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176 009_external-lab-unified-data-governance-with-unity-catalog_instructions.html

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177 010_lesson-reflection_instructions.html

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178 011_quiz-data-access-with-unity-catalog_quiz.html

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179 012_week-2-graded-quiz-data-transformation-and-pipelines_exam.html

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180 001_key-terms_instructions.html

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183 002_profit-sharing-concepts.mp4

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186 003_tragedy-of-the-genai-commons.mp4

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189 004_game-theory-of-genai.mp4

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192 005_perfect-competition.mp4

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195 006_negative-externalities.mp4

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198 007_regulatory-entrepreneurship.mp4

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202 009_regulatory-entrepreneurship_instructions.html

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204 010_what-is-glaze_instructions.html

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205 011_quiz-ai-ethics_quiz.html

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206 012_lesson-reflection_instructions.html

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210 002_coding-elo-in-python.mp4

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219 005_coding-elo-in-julia.mp4

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222 007_lesson-reflection_instructions.html

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223 008_quiz-evaluating-real-world-performance-of-llms_quiz.html

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227 002_getting-started-lorax-and-skypilot.mp4

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228 003_what-is-skypilot_instructions.html

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229 004_what-is-lorax_instructions.html

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230 005_what-is-ludwig_instructions.html

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233 006_ludwig-fine-tune-mistral-7b.mp4

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234 007_external-lab-fine-tune-mistral-7b_instructions.html

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235 008_external-lab-launching-mixtral-with-lorax-and-skypilot_instructions.html

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236 009_lesson-reflection_instructions.html

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237 010_quiz-exploring-production-llm-workflows_quiz.html

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238 011_final-graded-quiz-responsible-generative-ai_exam.html

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239 001_key-terms_instructions.html

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242 002_getting-started-llamafile.mp4

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245 003_local-system-metrics-llamfile.mp4

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246 004_llamafile_instructions.html

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247 005_whisper-cpp_instructions.html

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249 006_quiz-getting-started-with-llamafile_quiz.html

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250 007_lesson-reflection_instructions.html

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251 001_key-terms_instructions.html

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252 002_data-poisoning-battle_instructions.html

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254 003_sleeper-agents_instructions.html

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257 004_candle-hello-world.mp4

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260 005_exploring-starcoder-rust.mp4

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263 006_whisper-candle-transcribe.mp4

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266 007_exploring-remote-development-aws.mp4

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267 008_quiz-getting-started-with-rust-candle_quiz.html

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268 009_lesson-reflection_instructions.html

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271 001_rust-for-llms.mp4

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277 003_rust-cli-inference.mp4

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280 004_rust-chat-inference.mp4

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291 009_final-quiz-local-llmops_exam.html

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292 010_next-steps_instructions.html

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links.txt

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Section Quiz

06. Open Source LLMOps Solutions

001 001_meet-your-instructor-noah-gift_instructions.html

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004 002_meet-your-instructor-alfredo-deza.mp4

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005 003_connect-with-your-instructors_instructions.html

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006 004_course-structure-and-etiquette_instructions.html

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009 001_introduction.mp4

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010 002_key-terms_instructions.html

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013 003_open-source-models-in-the-hugging-face-platform.mp4

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016 004_introduction-to-hugging-face.mp4

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019 005_libraries-and-tools-for-open-source-models.mp4

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022 006_large-language-models-in-hugging-face.mp4

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023 007_external-lab-create-a-free-hugging-face-account_instructions.html

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026 008_what-are-small-language-models.mp4

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033 011_summary.mp4

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040 003_what-is-synthetic-dataset-augmentation.mp4

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043 004_overview-of-an-application-for-augmentation.mp4

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061 003_considering-rust-over-python.mp4

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080 004_using-the-llamafile-api.mp4

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083 005_creating-a-llamafile.mp4

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084 006_cosmopolitan_instructions.html

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087 007_building-portable-binaries-with-cosmopolitan.mp4

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090 002_what-are-llms_instructions.html

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096 004_llamafile-local-system-metrics.mp4

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097 005_lesson-reflection_instructions.html

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098 001_key-terms_instructions.html

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099 002_what-is-whisper-cpp_instructions.html

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103 003_using-whisper-for-genai-building-blocks.mp4

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104 004_bash-automation-with-whisper-cpp_instructions.html

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107 005_transcribing-with-whisper-cpp.mp4

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108 006_lesson-reflection_instructions.html

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111 001_introduction.mp4

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115 003_what-is-transformers-js.mp4

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118 004_what-is-onnx.mp4

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121 005_exporting-models-to-onnx.mp4

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124 006_using-transformers-js-in-the-browser.mp4

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125 007_external-lab-export-models-to-onnx_instructions.html

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128 008_summary.mp4

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132 002_building-a-phrase-generator-with-cosmopolitan.mp4

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133 003_bash-phrase-generator_instructions.html

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134 004_lesson-reflection_instructions.html

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135 001_external-lab-chat-with-local-llms_instructions.html

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137 002_external-lab-retrieval-augmented-generation-with-local-llms_instructions.html

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141 003_external-lab-create-a-synthetic-dataset_instructions.html

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142 004_external-lab-gpu-flavored-mlops-with-github-codespaces_instructions.html

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144 005_external-lab-rust-hugging-face-candle-demos_instructions.html

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146 001_course-reflection_instructions.html

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147 002_next-steps_instructions.html

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Section Quiz

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Course Content

01. Introduction to Generative AI

A Message from the Professor

003 001_meet-your-course-instructor-alfredo-deza.mp4

006 002_meet-your-course-instructor-derek-wales.mp4

007 003_connect-with-your-instructors_instructions.html

010 004_about-this-course.mp4

011 005_course-structure-and-discussion-etiquette_instructions.html

012 001_key-terms_instructions.html

015 002_introduction.mp4

018 003_what-is-generative-ai.mp4

021 004_brief-history-and-evolution-of-ai.mp4

022 005_history-of-artificial-intelligence_instructions.html

025 006_how-do-large-language-models-work-in-applications.mp4

028 007_how-are-large-language-models-created.mp4

029 008_understanding-large-language-models_instructions.html

032 009_summary.mp4

033 001_key-terms_instructions.html

036 002_introduction.mp4

039 003_what-are-llms-and-how-do-they-work.mp4

042 004_benefits-and-risks-of-using-llms.mp4

045 005_mitigating-risks-of-llms.mp4

046 006_external-lab-trigger-inaccuracy-in-a-model_instructions.html

049 007_what-are-foundation-models.mp4

050 008_foundation-models-and-the-next-era-of-ai_instructions.html

053 009_summary.mp4

054 001_key-terms_instructions.html

057 002_introduction.mp4

060 003_openai-and-chatgpt.mp4

063 004_hugging-face-and-open-source-models.mp4

064 005_external-lab-interact-with-hosted-models_instructions.html

067 006_using-local-models.mp4

070 007_cloud-based-solutions.mp4

071 008_graded-quiz_exam.html

074 009_summary.mp4

075 001_key-terms_instructions.html

078 002_introduction.mp4

081 003_what-is-prompt-engineering.mp4

084 004_zero-one-and-few-shot-prompting.mp4

087 005_basic-prompting-with-context.mp4

090 006_using-examples-in-prompts.mp4

091 007_external-lab-practice-zero-one-and-few-shot-prompting_instructions.html

094 008_summary.mp4

095 001_key-terms_instructions.html

098 002_introduction.mp4

101 003_setting-tone-and-persona.mp4

104 004_refining-on-previous-context.mp4

107 005_better-instructions-through-feedback.mp4

110 006_understanding-limitations.mp4

111 007_strategies-for-better-results-with-prompt-engineering_instructions.html

114 008_summary.mp4

115 001_key-terms_instructions.html

118 002_introduction.mp4

121 003_limitations-of-context.mp4

124 004_breaking-down-into-smaller-tasks.mp4

127 005_using-chain-of-thought.mp4

130 006_other-useful-prompting-techniques.mp4

131 007_graded-quiz_exam.html

134 008_summary.mp4

135 001_key-terms_instructions.html

138 002_introduction.mp4

141 003_common-types-of-generative-ai-applications.mp4

144 004_overview-of-an-api-based-application.mp4

147 005_overview-of-an-embedded-model-application.mp4

150 006_what-is-a-multi-model-application.mp4

153 007_summary.mp4

154 001_key-terms_instructions.html

157 002_introduction.mp4

160 003_what-is-rag.mp4

163 004_overview-of-a-rag-application.mp4

166 005_managing-data-for-rag.mp4

169 006_verifying-embeddings-and-search.mp4

172 007_using-rag-with-an-llm.mp4

175 008_summary.mp4

177 009_external-lab-create-a-rag-with-llm-using-your-own-data_instructions.html

178 001_key-terms_instructions.html

181 002_introduction.mp4

184 003_application-overview.mp4