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A complete 20-week AI engineering journey covering Python, data science, mathematics, machine learning, deep learning, computer vision, NLP, transformers, LLMs, RAG, FastAPI, LangChain, LangGraph and production AI deployment.

Build production-style agentic AI backends with Python, FastAPI, PostgreSQL, Redis, LangChain, LangGraph, RAG, structured outputs, tool calling, multi-agent orchestration, Docker and observability.

Build smart workflows, AI agents, RAG automations, Telegram bots, VPS-hosted autonomous agents, local model workflows, and business automation systems.

Learn how to design frontend UIs with Lovable, plan and generate code with Claude, build secure REST APIs with Antigravity, and ship a complete full-stack event platform.

Build and operate always-on autonomous AI agents using OpenClaw and Hermes. This live frontier technology sprint goes far beyond installation: students deploy agents locally and on VPS infrastructure, connect messaging channels, configure cloud and local models, build tools and reusable skills, manage persistent memory, schedule unattended jobs, automate browser, email, calendar and GitHub workflows, delegate work to specialist agents, and implement human approval for sensitive actions. A major emphasis is Secure Agent Operations, including least-privilege permissions, sandboxing, secret management, allowlisting, prompt-injection defence, skill inspection, audit logs, backup, recovery and emergency shutdown. The final two weeks are dedicated entirely to building a portfolio-ready capstone.October 15, 2026

Build the analytics, planning and AI capabilities required of a modern finance professional. Learn the complete workflow from advanced Excel and Power Query to SQL, Power BI, DAX, practical statistics, Python/Pandas, budgeting, forecasting, cash-flow planning, working-capital analytics and AI-assisted management reporting. Complete three major phase projects and a four-week portfolio capstone.October 1, 2026