AI Learning Roadmap

1.Neural Networks

2.Supervised vs Unsupervised Learning

3.Embeddings

4.Transformers

5.NLP Techniques

6.Text Embeddings

1.Text Generations (GPT, LLAMA, etc)

2.Image Generation (Stable Diffusion, etc)

3.Video Generations (Sora, etc)

4.Attention Mechanism

5.Fine Tuning

6.Advanced Prompting Techniques

7.AI APIs (OpenAI, Anthropic, etc)

1.Cursor

2.Windsurf

3.Cline

4.Agentic Workflows

5.Prompt Engineering Practice

1.v0

2.Replit

3.Lovable

4.Bolt New

5.Devin

1.Hugging Face Transformers

2.Hugging Face Diffusers

3.Fine-tuned Model Deployment

1.Pinecone

2.Chroma

3.Storing Embeddings

4.Semantic Search Practice

1.LLM Data Structures

2.LlamaIndex

3.Langchain

4.CrewAI

1.RAG & LoRA

2.Chain of Thoughts Prompting

3.Domain-specific Fine Tuning

4.Prompt Caching (Claude)

1.Docker Deployment

2.Langsmith Monitoring