Live, Instructor-Led AI and Software Engineering Training and Consulting

AI Engineering Academy
Multi-week intensive programs that build real AI engineering capability - from prompting and IDE assistants to agentic coding, LLM application development, and responsible AI operations.
Full-Stack Developer Academy
Comprehensive 20-day intensive programs that transform developers into full-stack professionals. Choose your backend and frontend combination for industry-standard training.
Customized
Your learning path is tailored to your goals, skill level, and pace. Whether you're a beginner or experienced coder, we adapt the training to fit you.
Expert Instructors
Learn directly from seasoned programmers with years of industry experience. Our instructors bring real-world insights and proven techniques to every class.
Hands-On Learning
Code from day one with projects, challenges, and exercises that mirror real-world development. Build practical skills you can apply immediately.
Featured AI Tools and Engineering Courses
- AI for Software Developers
Our comprehensive, language-agnostic five-day intensive on working the way modern AI-augmented engineering teams do: prompting and context engineering, delegating multi-step tasks to coding agents, reviewing and steering their output, and extending assistants with project context and MCP integrations - with the code-review judgment that keeps quality high when an agent writes the first draft.
- GitHub Copilot in 2026: Chat, Edits, Agents, Spaces, and CLI
A comprehensive, current tour of GitHub Copilot's full feature set: Chat, Edits, Agent mode, Spaces, the Copilot CLI with `/fleet` parallel agents and Autopilot mode, the autonomous Copilot coding agent, MCP server integration, and Next Edit Suggestions - everything developers and teams need to use the most widely adopted AI coding assistant effectively.
- Agentic Coding with Claude Code: Plan Mode and Subagents
Delegate real engineering work to Claude Code in the terminal, the IDE, and on github.com: plan mode for supervised execution, subagents for parallel work, the cloud coding agent, and issue-to-PR workflows - the practical playbook for teams standardizing on Anthropic's agentic coding tool.
- LLM Application Development with Python
A five-day intensive on building LLM-powered applications end to end in Python: model APIs, prompt pipelines, structured outputs with Pydantic, tool calling, retrieval, streaming FastAPI services, and deployment - the complete path from first API call to production LLM application.
- AI and Modern Machine Learning for Software Developers
The complete machine learning lifecycle for developers who want more than API calls: data preparation with pandas, modeling with scikit-learn and XGBoost, deep learning and transfer learning with PyTorch, and shipping models with ONNX and FastAPI - all hands-on in Google Colab with agentic AI assistance throughout.
- Mastering Generative AI: From Transformers to Agent Swarms
A practitioner survey of generative AI as it stands in 2026: how language models work, frontier and small models, retrieval-augmented generation, the Model Context Protocol, and single and multi-agent systems - the broad map of the field for teams deciding where to apply AI and wanting a shared vocabulary before specializing.
