AI & Machine Learning Roadmap

Introduction to AI

What is AI, AI vs ML, AI vs AGI, roles & responsibilities.

Common Terminology

LLMs, inference, training, embeddings, agents.

Checkpoint — AI Fundamentals

Pre-trained Models

Benefits, limitations, transfer learning concepts.

Popular AI Models

OpenAI, Claude, Gemini, Hugging Face, Mistral.

Checkpoint — Model Ecosystem

AI Platforms & APIs

OpenAI Platform

Chat Completions, embeddings, fine-tuning, pricing.

Prompt Engineering

Writing prompts, token management, prompt patterns.

Checkpoint — API Usage

AI Safety & Ethics

Bias, fairness, privacy, adversarial testing.

Security Best Practices

Prompt injection, output constraints, moderation APIs.

Checkpoint — Responsible AI

Open Source AI

Open vs Closed Models

Trade-offs, deployment, customization.

Hugging Face

Models, tasks, Hub, inference SDKs.

Checkpoint — Open Source Models

Embeddings & Vector Databases

Embeddings

Semantic search, recommendations, clustering.

Vector Databases

Pinecone, Chroma, FAISS, Weaviate, Qdrant.

Checkpoint — Vector Search

RAG Fundamentals

Chunking, embeddings, retrieval, generation.

RAG Implementation

LangChain, LlamaIndex, SDK-based approaches.

Checkpoint — Knowledge Augmented AI

AI Agents

Agent Concepts

ReAct prompting, tools, memory, planning.

Building Agents

OpenAI tools, assistants API, manual agents.

Checkpoint — Autonomous Systems

Multimodal AI

Multimodal Tasks

Image, audio, video, speech-to-text, TTS.

Multimodal APIs

Vision API, DALL·E, Whisper, multimodal SDKs.

Checkpoint — Multimodal Systems

Development Tools

AI code editors, copilots, productivity tools.

Continuous Learning

Latest models, research, ecosystem updates.

Checkpoint — Industry Ready AI Engineer