Learn how to build, deploy, and maintain machine learning models in production with this comprehensive specialization. This specialization covers crucial MLOps concepts and techniques, including data pipelines, feature engineering, model deployment, and monitoring. Gain the skills to address real-world challenges and build cutting-edge AI systems. You will learn from experts in the field and gain hands-on experience through practical projects. This specialization is completely free of cost and includes courses from platforms like Coursera, Udemy, Udacity, MasterClass, NearPeer, and other reputable sources. Master the art of machine learning engineering for production and boost your career in AI.
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AI For Everyone
Learn the fundamentals of Artificial Intelligence (AI) with this comprehensive course from Coursera, completely free of charge! This course is designed for everyone, including non-technical professionals, and will equip you with the knowledge to understand and utilize AI effectively. Explore key AI concepts such as neural networks, machine learning, deep learning, and data science. Discover the real-world applications and limitations of AI, and learn how to identify opportunities for AI implementation in your organization. Gain insights into building machine learning and data science projects, collaborating with AI teams, and developing an AI strategy for your company. This course also addresses ethical and societal considerations surrounding AI. Whether you’re a business leader, aspiring AI professional, or simply curious about this transformative technology, this free AI for Everyone course is an excellent starting point.
Improving Deep Neural Networks Hyperparameter Tuning/ Regularization and Optimization
Learn how to improve deep neural networks with hyperparameter tuning, regularization, and optimization techniques. This free Coursera course, part of the Deep Learning Specialization, will teach you best practices for building deep learning applications, analyzing bias/variance, and implementing techniques like L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking. You’ll also learn how to implement and apply various optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop, and Adam, and check for their convergence. This course covers implementing neural networks in TensorFlow and prepares you for a career in AI. This course is completely free and is available on Coursera, Udemy, Udacity, MasterClass, NearPeer, and other platforms.
Deploying Machine Learning Models in Production
Learn how to deploy machine learning models and make them available to end users. This course teaches you how to build scalable and reliable hardware infrastructure for real-time and batch inference requests. You will also learn to implement workflow automation and progressive delivery, complying with MLOps practices to ensure a continuously running production system. This course covers model serving introduction, patterns and infrastructure, management and delivery, and monitoring and logging. All of this and more is completely free with this Coursera course from Theetay.com. Get started on your career in machine learning engineering with this free course from Theetay, where you’ll find free online courses from Udemy, Udacity, Coursera, MasterClass, NearPeer, and other top platforms.
Convolutional Neural Networks
Learn about the evolution of computer vision and its applications, including autonomous driving, face recognition, and radiology image reading. This course, part of the Deep Learning Specialization on Coursera, teaches you how to build convolutional neural networks, apply them to visual detection and recognition tasks, and use neural style transfer. Get access to this course, and many others, completely free on Theetay! We offer the best online courses from Udemy, Udacity, Coursera, MasterClass, NearPeer, and other platforms.
Generative AI for Everyone
Learn about the exciting world of Generative AI with this free Coursera course taught by AI pioneer Andrew Ng. This course provides a practical introduction to generative AI, its potential, and its limitations. Discover how generative AI works, its real-world applications, and common use cases. Through hands-on exercises, you will learn effective prompt engineering and explore ways to go beyond prompting for more advanced uses of AI. Gain valuable insights into the impact of generative AI on business and society and equip yourself to participate in our AI-powered future. This course is completely free and available on Theetay, your platform for free courses from top providers like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
Machine Learning Specialization
Dive into the world of **Machine Learning** with this comprehensive **Coursera Specialization**, offered completely **free** by **Theetay**. This program, developed by **DeepLearning.AI** and **Stanford Online**, provides a beginner-friendly introduction to **Artificial Intelligence (AI)** under the guidance of renowned expert **Andrew Ng**. Master the **fundamentals of machine learning**, including supervised and unsupervised techniques. Gain hands-on experience with popular libraries like **NumPy and scikit-learn**, and learn to build and train models for **prediction and classification**. This specialization covers **neural networks with TensorFlow**, **decision trees**, **ensemble methods**, **clustering**, **anomaly detection**, and **recommender systems**. By the end, you’ll be equipped to apply machine learning to solve real-world problems. Access this valuable knowledge completely **free** from **Theetay**, which offers courses from platforms like **Udemy**, **Udacity**, **Coursera**, **MasterClass**, **NearPeer**, and more. Start your journey towards a rewarding career in AI today!
