Applied AI Professional Certificate

About Course

IBM Applied AI Professional Certificate, Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant – understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer. This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web.

The courses will also enable you to apply pre-built AI smarts to your products and solutions. Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions. In addition to earning a Professional Certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your proficiency in applied AI. This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud

Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks
Create AI chatbots and virtual assistants without any programming and deploy them on a website
Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding
Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud

Course Content

05. Python for Data Science, AI & Development

006 01_types.mp4

00:00
061 02_pandas-working-with-and-saving-data.mp4

00:00
066 01_one-dimensional-numpy.mp4

00:00
079 02_simple-apis-part-2.mp4

00:00
080 01_analyzing-us-economic-data-and-building-a-dashboard.html

00:00

06. Developing AI Applications with Python and Flask

004 02_helpful-tips-for-completing-this-course_instructions.html

00:00
005 03_prerequisites-and-course-syllabus_instructions.html

00:00
008 01_application-development-lifecycle.mp4

00:00
011 02_introduction-to-web-applications-and-apis.mp4

00:00
014 03_demo-working-with-an-ide.mp4

00:00
017 04_python-style-guide-and-coding-practices.mp4

00:00
020 05_unit-testing.mp4

00:00
023 06_packaging.mp4

00:00
024 07_module-1-summary-python-coding-practices-and-packaging.html

00:00
027 01_python-libraries-and-frameworks-for-application-development.mp4

00:00
030 02_introduction-to-flask.mp4

00:00
033 03_flask-basic-applications-and-routes.mp4

00:00
036 04_request-and-response-objects-using-get-and-post-modes.mp4

00:00
039 05_dynamic-routes.mp4

00:00
042 06_error-handling.mp4

00:00
045 07_deploying-web-apps-using-flask.mp4

00:00
046 08_module-2-lesson-summary-web-app-deployment-using-flask_instructions.html

00:00
047 01_submit-your-work-and-grade-your-peers_peer_assignment_instructions.html

00:00
048 02_module-3-summary-creating-ai-application-and-deploy-using-flask_instructions.html

00:00
049 01_congratulations-next-steps_instructions.html

00:00
050 02_thanks-from-the-course-team_instructions.html

00:00
003 01_introduction-to-the-course.mp4

00:00

07. Building AI Applications with Watson APIs

005 02_syllabus_instructions.html

00:00
008 03_building-ai-applications.mp4

00:00
009 04_technologies-we-are-going-to-use_instructions.html

00:00
012 05_creating-a-chatbot-with-watson-assistant.mp4

00:00
013 06_quiz-1-introduction_exam.html

00:00
014 07_whats-next_instructions.html

00:00
017 01_voice-options-for-your-chatbot.mp4

00:00
020 02_adding-watson-speech-services.mp4

00:00
021 03_quiz-4-speech-apis_exam.html

00:00
022 04_whats-next_instructions.html

00:00
025 01_understanding-deployment-options.mp4

00:00
028 02_deploying-your-chatbot-to-facebook-messenger.mp4

00:00
031 03_deploying-your-chatbot-to-slack.mp4

00:00
032 04_quiz-5-deployment_exam.html

00:00
033 05_whats-next_instructions.html

00:00
034 01_create-a-coursera-student-advisor_peer_assignment_instructions.html

00:00
035 02_congratulations_instructions.html

00:00
036 01_about-this-optional-module_instructions.html

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039 02_understanding-watson-discovery.mp4

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042 03_creating-a-discovery-collection.mp4

00:00
043 04_watson-discovery_quiz.html

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044 05_whats-next_instructions.html

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047 01_integrating-watson-assistant-discovery.mp4

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050 02_adding-discovery-to-the-chatbot.mp4

00:00
051 03_integrating-assistant-and-discovery_quiz.html

00:00
054 01_conclusion-next-steps.mp4

00:00

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Course Content

05. Python for Data Science, AI & Development

006 01_types.mp4

061 02_pandas-working-with-and-saving-data.mp4

066 01_one-dimensional-numpy.mp4

079 02_simple-apis-part-2.mp4

080 01_analyzing-us-economic-data-and-building-a-dashboard.html

06. Developing AI Applications with Python and Flask

004 02_helpful-tips-for-completing-this-course_instructions.html

005 03_prerequisites-and-course-syllabus_instructions.html

008 01_application-development-lifecycle.mp4

011 02_introduction-to-web-applications-and-apis.mp4

014 03_demo-working-with-an-ide.mp4

017 04_python-style-guide-and-coding-practices.mp4

020 05_unit-testing.mp4

023 06_packaging.mp4

024 07_module-1-summary-python-coding-practices-and-packaging.html

027 01_python-libraries-and-frameworks-for-application-development.mp4

030 02_introduction-to-flask.mp4

033 03_flask-basic-applications-and-routes.mp4

036 04_request-and-response-objects-using-get-and-post-modes.mp4

039 05_dynamic-routes.mp4

042 06_error-handling.mp4

045 07_deploying-web-apps-using-flask.mp4

046 08_module-2-lesson-summary-web-app-deployment-using-flask_instructions.html

047 01_submit-your-work-and-grade-your-peers_peer_assignment_instructions.html

048 02_module-3-summary-creating-ai-application-and-deploy-using-flask_instructions.html

049 01_congratulations-next-steps_instructions.html

050 02_thanks-from-the-course-team_instructions.html

003 01_introduction-to-the-course.mp4

07. Building AI Applications with Watson APIs

005 02_syllabus_instructions.html

008 03_building-ai-applications.mp4

009 04_technologies-we-are-going-to-use_instructions.html

012 05_creating-a-chatbot-with-watson-assistant.mp4

013 06_quiz-1-introduction_exam.html

014 07_whats-next_instructions.html

017 01_voice-options-for-your-chatbot.mp4

020 02_adding-watson-speech-services.mp4

021 03_quiz-4-speech-apis_exam.html

022 04_whats-next_instructions.html

025 01_understanding-deployment-options.mp4

028 02_deploying-your-chatbot-to-facebook-messenger.mp4

031 03_deploying-your-chatbot-to-slack.mp4

032 04_quiz-5-deployment_exam.html

033 05_whats-next_instructions.html

034 01_create-a-coursera-student-advisor_peer_assignment_instructions.html

035 02_congratulations_instructions.html

036 01_about-this-optional-module_instructions.html

039 02_understanding-watson-discovery.mp4

042 03_creating-a-discovery-collection.mp4

043 04_watson-discovery_quiz.html

044 05_whats-next_instructions.html

047 01_integrating-watson-assistant-discovery.mp4

050 02_adding-discovery-to-the-chatbot.mp4

051 03_integrating-assistant-and-discovery_quiz.html

054 01_conclusion-next-steps.mp4

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