Master Data Science and Machine LearningMaster Data Science and Machine Learning
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Machine learning and artificial intelligence are important because they can help researchers and developers pursue advances in various fields, such as engineering, energy, data science, and medicine, by creating predictive models, recommendation systems, self-driving cars, and diagnostic tools1. Machine learning is a technique that allows machines to get information that humans can’t, by spotting patterns and identifying anomalies in large quantities of data very quickly. Implementing artificial intelligence and machine learning may be a vital tool for any company seeking quantitative help in their decision-making since it can analyze vast quantities of data and spit forth trend directions and actionable suggestions. There are highly beneficial applications of machine learning. In education, for example, this innovation will enable personalized learning for all and is already enabling individualized learning.

There are many free resources available online for learning machine learning, data science and AI. Here are some of them :-

1. AI For Everyone

2. Machine Learning by Andrew Ng


3. ChatGPT Prompt Engineering for Developers

4. Harvard CS50

5. Introduction to Machine Learning

6. Stanford CS 224N

7. Learn Prompting

8. Introductory Machine Learning by Caltech

10. Microsoft’s FREE courses in following areas: AI, IoT, Machine Learning, Data

A project-based pedagogy that allows you to learn while building!

1. Artificial Intelligence for Beginners

2. IoT for Beginners

3. Machine Learning for Beginners – A Curriculum

4. Data Science for Beginners

11. Lex Fridman and Destiny argue about AI by Lex Fridman Podcast

12. Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life

13. Robotics by Crash Course AI

14. Evolutionary Computation vs Reinforcement Learning vs Deep Learning

15. FREE Google Courses for AI Enthusiasts:

16. Venture Capital for Data Science by Super Data Science

17. AI and IoT Applications in the Present and Future by Joseph Berti from IBM

18. Deep Learning Lectures by DeepMind x UCL

19. Introduction to Machine Learning at MIT

Introduction to Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare

20.  Machine Learning Crash Course with TensorFlow APIs

Machine Learning  |  Google for Developers


Plus, 74 more Free Resources:

Google LLM Courses

Introduction to Generative AI


An introductory level micro-learning course aimed at explaining:


– What Generative AI is

– How it is used

– How it differs from traditional ML


Check this out


Introduction to Large Language Models


The course explores:


– Fundamentals LLMs

– Their use cases

– Prompt engineering on LLMs


Check this out

Introduction to Large Language Models | Google Cloud Skills Boost


Introduction to Responsible AI


The course explains what responsible AI is, why it’s important, and how Google implements responsible AI in their products.


Check this out

Introduction to Responsible AI | Google Cloud Skills Boost


Introduction to Image Generation


This course introduces diffusion models, a family of ML models that recently showed promise in the image generation space.


Check this out

Introduction to Image Generation | Google Cloud Skills Boost


Encoder-Decoder Architecture


This course gives you a synopsis of the encoder-decoder architecture.


It’s a powerful and prevalent machine learning architecture for sequence-to-sequence tasks.


Check this out

Encoder-Decoder Architecture | Google Cloud Skills Boost


Attention Mechanism


The course teaches you how attention works & how it revolutionised:


– machine translation

– text summarisation

– question answering


Check this out

Attention Mechanism | Google Cloud Skills Boost


Transformer Models and BERT Model


This course introduces you to some of the most famous and effective transformer architectures!


Check this out

Transformer Models and BERT Model | Google Cloud Skills Boost


Create Image Captioning Models


This course teaches you how to create an image captioning model by using deep learning.


Check this out

Create Image Captioning Models | Google Cloud Skills Boost



Introduction to Generative AI Studio


This course introduces Generative AI Studio, a product on Vertex AI.


It teaches you to prototype and customize generative AI models so you can use their capabilities in your applications.


Check this out

Introduction to Generative AI Studio | Google Cloud Skills Boost

Langchain for LLM Development Application Development (Andrew Ng)

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By Hassan Amin

Dr. Syed Hassan Amin has done Ph.D. in Computer Science from Imperial College London, United Kingdom and MS in Computer System Engineering from GIKI, Pakistan. During PhD, he has worked on Image Processing, Computer Vision, and Machine Learning. He has done research and development in many areas including Urdu and local language Optical Character Recognition, Retail Analysis, Affiliate Marketing, Fraud Prediction, 3D reconstruction of face images from 2D images, and Retinal Image analysis in addition to other areas.