Introduction
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
https://www.coursera.org/learn/ai-for-everyone
2. Machine Learning by Andrew Ng
https://www.coursera.org/specializations/machine-learning-introduction
3. ChatGPT Prompt Engineering for Developers
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
4. Harvard CS50
https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python
5. Introduction to Machine Learning
https://developers.google.com/machine-learning/crash-course/ml-intro
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
Science:
A project-based pedagogy that allows you to learn while building!
1. Artificial Intelligence for Beginners
https://lnkd.in/e-AbF4Np
2. IoT for Beginners
https://lnkd.in/eyUy23if
3. Machine Learning for Beginners – A Curriculum
https://lnkd.in/ebzpcRX6
4. Data Science for Beginners
https://lnkd.in/eWi2VhAJ
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
https://www.cloudskillsboost.google/course_templates/536
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)
https://learn.deeplearning.ai/langchain/lesson/1/introduction
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