Generative AI Training
Generative AI Online Training Courses | LinkedIn Learning, formerly Lynda.com
Generative AI for Beginners with Azure
Generative AI for Beginners | Microsoft Learn
Microsoft’s 𝗙𝗥𝗘𝗘, beginner-friendly Generative AI in GitHub
GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Course Setup
Learn: How to Setup Your Development EnvironmentGitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Introduction to Generative AI and LLMs
Learn: Understanding what Generative AI is and how Large Language Models (LLMs) work. GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Exploring and comparing different LLMs
Learn: How to select the right model for your use caseGitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Using Generative AI Responsibly
Learn: How to build Generative AI Applications responsibly GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Understanding Prompt Engineering Fundamentals
Learn: Hands-on Prompt Engineering Best PracticesGitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Creating Advanced Prompts
Learn: How to apply prompt engineering techniques that improve the outcome of your prompts.GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Building Text Generation Applications
Build: A text generation app using Azure OpenAI / OpenAI API GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Building Chat Applications
Build: Techniques for efficiently building and integrating chat applications. GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Building Search Apps with Vector Databases
Build: A search application that uses Embeddings to search for data.GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Building Image Generation Applications
Build: An image generation application GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Building Low-Code AI Applications
Build: A Generative AI application using Low Code tools GitHub – microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI
Generative AI Explained
Learn what Generative AI is, how it works, where it’s applied, and the challenges ahead. Course Detail | NVIDIA
Building a Brain in 10 Minutes
A beginner-friendly dive into how neural networks actually learn. Course Detail | NVIDIA
Augment Your LLM with Retrieval-Augmented Generation (RAG)
Understand how to enhance large language models using retrieval for smarter, grounded outputs. Course Detail | NVIDIA
Accelerate Data Science Workflows with Zero Code Changes
Discover how to scale and accelerate data science pipelines using GPUs—without touching your code. Course Detail | NVIDIA
Building RAG Agents with LLMs
Learn how to design and deploy RAG-powered agents with LLMs, including retrieval and dialogue management.Course Detail | NVIDIA
AWS: Foundations of Prompt Engineering
OpenAI: Prompting for Developers
Build tools using GPT APIs, function calls, and prompts
ChatGPT Prompt Engineering for Developers – DeepLearning.AI
DeepLearning.ai: Context Engineering and MCP
Add memory, examples, and search to your prompts
MCP: Build Rich-Context AI Apps with Anthropic – DeepLearning.AI
FastAI: Practical Deep Learning for Coders
Practical Deep Learning for Coders – Practical Deep Learning
GenAI Literacy & Prototyping Learn GenAI basics and start building prototypes.
Generative AI: Online Courses, Training and Tutorials | LinkedIn Learning
DeepLearning.ai + Cohere: RAG for Developers Ground your LLMs in external data with vector search.
Retrieval Augmented Generation (RAG) | Coursera
FastAI: Practical Deep Learning for Coders Train & deploy AI models using PyTorch + FastAI.
LangChain: LLM Orchestration Frameworks Use LangChain to connect tools, memory & APIs.
Google Cloud: LLM Deployment (LLMOps) Fine-tune & deploy LLMs with Google Cloud tools.
Python Programming Foundations
Harvard CS50’s Python Programming Course :
CS50’s Introduction to Programming with Python | Harvard University
→ Build unshakeable coding fundamentals
→ 6-8 weeks to Python mastery
Machine Learning Foundations
Stanford CS229: Machine Learning :
(2) Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018 – YouTube
→ Learn from the legends at Stanford
→ Master ML algorithms and math foundations
→ 10-12 weeks of pure gold
Deep Learning Mastery
Fast.ai Practical Deep Learning
https://course.fast.ai/
→ Jeremy Howard’s legendary course
→ Build real AI applications from day 1
→ 8-10 weeks of hands-on projects
Natural Language Processing
Stanford CS224N/Ling284 :
(2) Stanford CS224N: Natural Language Processing with Deep Learning | 2023 – YouTube
→ Master transformers and language models
→ The foundation of ChatGPT and GPT-4
→ 10-12 weeks of cutting-edge NLP
Generative AI Introduction
Microsoft Generative AI for Beginners
Generative AI for Beginners
→ 21 Lessons teaching everything you need to know to start building Generative AI applications
→ 6-8 weeks of creative AI
Large Language Models
LLM University by Cohere :
https://cohere.com/llmu
→ Fine-tune and deploy production LLMs
→ Build and deploy LLM models
→ 6-8 weeks of enterprise-level skills
