Artificial Intelligence & Machine Learning Roadmap
Follow these stages to build AI/ML skills from beginner level to job-ready professional level.
Stage 1: Artificial Intelligence Fundamentals
Learn what AI is, how it works, its history, types, applications, benefits, challenges, and future impact.
Stage 2: Machine Learning Fundamentals
Understand how ML models learn from data using supervised, unsupervised, and reinforcement learning.
Stage 3: Deep Learning & Neural Networks
Learn neural networks, CNNs, RNNs, transformers, NLP, computer vision, and GPU acceleration.
Stage 4: Generative AI
Understand how Generative AI creates text, images, audio, code, video, and enterprise AI solutions.
Stage 5: Large Language Models
Explore LLMs, foundation models, tokens, embeddings, context windows, hallucinations, and multimodal AI.
Stage 6: Prompt Engineering
Master zero-shot, one-shot, few-shot, chain-of-thought prompting, prompt templates, and prompt security.
Stage 7: Foundation Models
Learn model selection, latency, evaluation, bias, fairness, explainability, fine-tuning, and RAG comparison.
Stage 8: RAG & Vector Databases
Learn Retrieval-Augmented Generation, vector databases, embeddings, vector search, and enterprise chatbots.
Stage 9: AI Agents
Build AI agents that can reason, plan, use memory, call tools, and automate enterprise workflows.
Stage 10: MLOps & LLMOps
Learn model deployment, monitoring, drift detection, CI/CD for ML, prompt tracking, and AI operations.
Stage 11: AI Model Evaluation
Measure model performance using accuracy, precision, recall, F1 score, ROC-AUC, MAE, MSE, and business metrics.
Stage 12: Responsible AI & Governance
Understand fairness, transparency, privacy, explainability, accountability, and enterprise governance frameworks.
Stage 13: AI Security
Learn prompt injection, jailbreaking, adversarial attacks, data poisoning, model theft, and sensitive data exposure.
Stage 14: AWS AI Services
Learn AWS AI services used in enterprise environments including Bedrock, SageMaker, Comprehend, and Rekognition.
Stage 15: Real-World AI Projects
Build portfolio projects such as AI Smart Inbox, RAG Chatbot, FAQ Assistant, prediction systems, and AI assistants.
Stage 16: AI Careers, Certifications & Interviews
Prepare for AI certifications, interviews, portfolio building, salary research, and AI career paths.
Ready to Build Your AI Career?
Follow the roadmap, complete projects, earn certifications, and build job-ready AI and Machine Learning skills.