AI Engineers possess a good understanding of programming, software engineering, and data science, and use different tools and techniques to process data to develop and maintain AI systems.
- 🎓 LLM Bootcamp - Spring 2023
- 🧠 DeepLearning AI
- 🤖 Microsoft Copilot Learning
- ☁️ Amazon Generative AI
- 🌐 Google Cloud Skills
- 🎮 NVIDIA Learn
- 🔷 Oracle Cloud
- 📘 IBM AI Learn
Learn best practices and tools for building LLM-powered apps, covering the full stack from prompt engineering to user-centered design.
📑 Course Name | 📝 Description | 🔗 Link |
---|---|---|
Launch an LLM App in One Hour | Brief overview of the course content | Course Link |
LLM Foundations | Introduction to the basics of LLMs | Course Link |
Learn to Spell: Prompt Engineering | Techniques for effective prompting | Course Link |
Augmented Language Models | Enhancing LLMs with tools and data | Course Link |
Project Walkthrough: askFSDL | Step-by-step guide for the project | Course Link |
UX for Language User Interfaces | Designing intuitive LLM interactions | Course Link |
LLMOps | Deployment and management of LLM solutions | Course Link |
What's Next? | Future directions in LLM development | Course Link |
Reza Shabani: Train Your Own LLM | Deep dive into LLM training | Course Link |
Harrison Chase: Agents | Building LLM-powered agents | Course Link |
Fireside Chat with Peter Welinder | Insights from an industry leader | Course Link |
📚 Course Title | 🎯 Description | 🔗 Link |
---|---|---|
AI for Everyone | Non-technical course for understanding AI technologies | Access Course |
Generative AI for Everyone | Learn how generative AI works and its applications | Access Course |
Generative AI with LLMs | Learn fundamentals and real-world applications | Access Course |
MLOps Specialization | Learn to build and maintain production ML systems | Access Course |
📘 Course Title | 🎯 Description | 🔗 Link |
---|---|---|
ChatGPT Prompt Engineering | Developer-focused course | Learn More |
Prompt Engineering with Llama 2 | Explore prompt design for Llama 2 | Learn More |
Master Prompt Engineering | Comprehensive course by experts | Learn More |
Introductory Prompt Engineering | Beginner-friendly guide | Learn More |
The Prompt Engineering Guide | Detailed resource | Learn More |
📺 Course Title | 🔗 Link |
---|---|
RAG From Scratch - LangChain | |
RAGHack 2024 | |
RAG Tutorial Series | |
Master RAG in 5 Hours |
📂 Material | 🔗 Link |
---|---|
Indepth-GENAI | Repository |
CampusX Courses | Repository |
Building LLM Applications | Repository |
📚 Repository | 🔗 Link |
---|---|
Microsoft's GenAI for Beginners | Explore |
Google Cloud Platform GenAI | Explore |
Awesome Generative AI | Explore |
Awesome GenAI | Explore |
Learn Generative AI | Explore |
GenAI Research Papers | Explore |
GenAI Projects | Explore |
Awesome RAG | Explore |
📚 Course Name | 📝 Description | 🔗 Link |
---|---|---|
Introduction to Generative AI | Foundational GenAI concepts | Start Learning |
Intro to Large Language Models | LLM fundamentals and applications | Start Learning |
Introduction to Responsible AI | AI ethics and principles | Start Learning |
Prompt Design in Vertex AI | Master prompt engineering | Start Learning |
Applying AI Principles | Practical responsible AI | Start Learning |
Image Generation | Diffusion models deep dive | Start Learning |
Attention Mechanism | Advanced ML concepts | Start Learning |
Encoder-Decoder Architecture | Advanced ML architecture | Start Learning |
Transformer Models and BERT | Advanced NLP models | Start Learning |
Image Captioning Models | Computer vision and NLP | Start Learning |
Generative AI Studio | Vertex AI tools and features | Start Learning |
GenAI Explorer - Vertex AI | Hands-on labs | Start Learning |
📚 Course Title | 📝 Description | 🔗 Link |
---|---|---|
Python for Data Science | Foundation Python skills | Start Learning |
AI Solutions with Azure ML | Azure ML development | Start Learning |
Responsible AI Principles | Ethical AI development | Start Learning |
Azure OpenAI Service | GenAI and LLM fundamentals | Start Learning |
AI for Beginners | 12-week curriculum | Start Learning |
Custom ML Models | Azure ML model creation | Start Learning |
Azure AI Apps | AI services and virtual agents | Start Learning |
Azure AI Fundamentals | Comprehensive AI basics | Start Learning |
GitHub Copilot | AI-powered development | Start Learning |
📚 Course Name | 📝 Description |
---|---|
Generative AI Foundations | Deep dive into foundation models |
Amazon CodeWhisperer | AI coding companion introduction |
AWS Jam Journey | Hands-on CodeWhisperer practice |
Prompt Engineering Foundations | Mastering prompt design |
Low-Code ML on AWS | Simplified machine learning |
Language Models on AWS | Building custom language models |
Amazon Transcribe | Speech-to-text services |
Amazon Bedrock | Building GenAI applications |
📚 Course Title | 📝 Description | 🔗 Link |
---|---|---|
OCI Generative AI Professional | Comprehensive GenAI expertise | Start Learning |
OCI AI Foundations Associate 2024 | Foundational AI concepts | Start Learning |
💡 Note: This repository is actively maintained and regularly updated with the latest resources in Generative AI. Star ⭐ the repository to stay updated with the latest content!