Free Courses to Learn AI
Best part? Most of them are beginners friendly
Today we are listing down all the top free courses to learn AI.
These courses cover various topics, from machine learning and deep learning to natural language processing and computer vision.
Let's dive right in with the newest course by Microsoft.
Yesterday launched a 12-week, 24-lesson curriculum that covers the following topics
✅ Introduction to AI
✅ Symbolic AI
✅ Introduction to Neural Networks
✅ Computer Vision
✅ Natural Language Processing
✅ Other AI Techniques
✅ AI Ethics
This 12-week program provides a remarkable opportunity to gain a strong foothold in AI, guided by the expertise of Microsoft's Azure Cloud Advocates. Whether you're a beginner or looking to expand your AI knowledge, this curriculum is designed to empower and inspire you on your AI journey.
To access this free curriculum and embark on an incredible AI learning adventure, simply check the comments section for the course link.
Google came up with its own AI course a day before Microsoft.
It is a series of 9 free courses, forming a dedicated learning path for Generative AI. Here’s the curriculum
✅ Introduction to Generative AI: Learn the basics of Generative AI, its utilization, and the distinctions from traditional ML.
✅ Introduction to Large Language Models: Delve into the concepts, use cases, and prompt engineering techniques for Large Language Models (LLMs).
✅ Introduction to Responsible AI: Gain an in-depth understanding of responsible AI, its significance, and how Google incorporates responsible AI principles into its products.
✅ Introduction to Image Generation: Discover diffusion models, a family of ML models with promising capabilities in image generation.
✅ Encoder-Decoder Architecture: Get a concise overview of the encoder-decoder architecture, widely used for sequence-to-sequence tasks.
✅ Attention Mechanism: Learn about attention and its groundbreaking impact on machine translation, text summarization, and question answering.
✅ Transformer Models and BERT Model: Explore renowned transformer architectures in this course, unlocking their power.
✅ Create Image Captioning Models: Acquire the knowledge and skills to construct image captioning models using deep learning techniques.
✅ Introduction to Generative AI Studio: Discover Generative AI Studio, a powerful product offered on Vertex AI, and learn to prototype and customize generative AI models.
Find the course here.
There are more courses available on course platforms that have been enrolled by thousands of AI enthusiasts.
Machine Learning by Stanford University on Coursera
"Machine Learning" by Stanford University (Coursera): Professor Andrew Ng's legendary course is a fantastic starting point for anyone interested in machine learning. It covers the foundations of machine learning algorithms and techniques, providing a solid understanding of both the theory and practical applications. This course is highly recommended for beginners.
Deep Learning Specialization by deeplearning.ai on Coursera
Offered by the renowned deep learning expert, Andrew Ng, this specialization consists of five courses that explore deep learning and its various applications. From neural networks to convolutional and recurrent neural networks, this specialization will equip you with the skills to build powerful AI models.
Natural Language Processing with Deep Learning by Stanford University on YouTube
This series of video lectures by Professor Christopher Manning offers a comprehensive introduction to natural language processing (NLP) using deep learning techniques. It covers topics such as word embeddings, sequence models, and attention mechanisms, providing a strong foundation in NLP.
Convolutional Neural Networks for Visual Recognition by Stanford University on YouTube
If you're interested in computer vision, this course is a must-watch. Taught by Professor Fei-Fei Li, it delves into convolutional neural networks (CNNs) and their applications in image recognition and understanding. The course also explores topics like object detection, image segmentation, and visual question answering.
Applied Data Science with Python by the University of Michigan on Coursera
While not solely focused on AI, this course provides a solid introduction to data science using Python. It covers various topics, including data manipulation, data visualization, and machine learning, offering a well-rounded understanding of the fundamentals needed for AI projects.
I recently registered for Google's Introduction to Generative AI Studio. Have you decided which course you're interested in taking? Tell us in the comments 👇🏻
🥳 Stay tuned for more valuable insights and updates in our upcoming posts. Remember to keep exploring, learning, and leveraging the power of new technology.