Mastering Claude GenAI & Agentic Systems
Product information
Master Claude AI, GenAI and Agentic Systems in 13 weeks — from Python basics to building production-ready RAG systems, autonomous AI agents, multi-agent crews with MCP, and cloud-deployed Streamlit applications. Covers Claude AI, OpenAI, Gemini, Groq, Meta AI and Ollama. Graduate with a Microsoft or IBM industry certification and a job-ready GitHub portfolio. Live online. Beginner to AI Systems Architect.
Mastering Claude GenAI & Agentic Systems is a 13-week comprehensive program by Algo Labs that takes you from zero programming knowledge to building enterprise-grade AI systems with Claude AI by Anthropic at the centre of everything you build.
The program begins with Python fundamentals and data analysis, then moves through machine learning theory, neural network architectures covering ANN, RNN, LSTM, GRU, Encoder, Decoder, Sequence-to-Sequence and the full Transformer architecture so you understand exactly why and how modern LLMs like Claude work under the hood. You will study HuggingFace, fine-tuning, and model evaluation before stepping into the world of Generative AI.
From Week 6 onwards, the program goes deep into Claude AI mastering claude-sonnet, claude-opus and claude-haiku, prompt engineering techniques including zero-shot, few-shot, chain-of-thought and structured output design, and multi-LLM integration across Claude, OpenAI, Gemini, Groq, Meta AI and Ollama. You will build production-grade RAG systems using FAISS and ChromaDB, design intelligent AI agents using LangChain and LangGraph, and orchestrate multi-agent workflows using CrewAI, AutoGen and the Model Context Protocol (MCP).
The program also covers Memory Systems short-term, long-term and vector memory AI Evaluation using RAGAS, and full-stack deployment using Streamlit, FastAPI, Azure App Service and GitHub Actions CI/CD. Enterprise AI governance, compliance and responsible AI practices are integrated in the final phase.
The program culminates in a mandatory 5-component Enterprise AI Agent Capstone a fully deployed application integrating RAG, LangGraph, multi-agent orchestration, MCP and persistent memory presented as a live Viva and published to your GitHub portfolio.