AI Software Engineering
Foundations
- Prompting and Context Engineering for Software Engineers (7 hours delivered over 1-2 days, online or on-site)
Reframes prompt engineering around context windows, system prompts, tool definitions, and structured outputs for professional software development workflows.
- Working with Frontier Coding Models: Claude, GPT, and Gemini for Developers (7 hours delivered over 1-2 days, online or on-site)
Model-agnostic foundations covering capabilities, tradeoffs, pricing, latency, and when to reach for which frontier model in real engineering workflows.
- AI-Assisted Software Engineering Fundamentals (7 hours delivered over 1-2 days, online or on-site)
Habits, review discipline, when to trust generated code, security pitfalls, and team workflows for sustainable AI-assisted software development.
IDE and Editor Assistants
- GitHub Copilot in 2026: Chat, Edits, Agents, Spaces, and CLI (14 hours delivered over 2-3 days, online or on-site)
Consolidates Chat, Edits, Agents, Spaces, MCP, the Copilot CLI, and Next Edit Suggestions into one current course covering everything developers and teams need from GitHub Copilot today.
- Cursor for Professional Developers (14 hours delivered over 2-3 days, online or on-site)
Composer 2.0 (Cursor's Kimi K2.5-based in-house model), Background and Cloud Agents, rules files, and project-level context management in Cursor 3.0 for professional development teams.
- Choosing Your AI IDE: Cursor, Windsurf, Zed, and VS Code Copilot Compared (14 hours delivered over 2-3 days, online or on-site)
A decision-framework course comparing Cursor, Windsurf, Zed, and VS Code Copilot to help individuals and teams make an informed AI IDE selection.
Agentic and Terminal-Based Coding
- Claude Code in Practice (14 hours delivered over 2-3 days, online or on-site)
Terminal-driven agentic development with Claude Code: subagents, hooks, skills, plugins, slash commands, CLAUDE.md configuration, and real-world workflows.
- Building with Coding Agents: A Survey of Claude Code, Codex, Aider, and Devin (7 hours delivered over 1-2 days, online or on-site)
A 1-day decision-oriented survey of the leading coding agents — Claude Code, OpenAI Codex, Aider, and Devin — that funnels into the dedicated deep-dive courses for the chosen tool.
- Agentic Code Review and Pull Request Automation (7 hours delivered over 1-2 days, online or on-site)
Using AI agents in CI to review, refactor, and ship code — covering pull request automation, agentic code review workflows, and CI integration patterns.
- Spec-Driven Development with GitHub Spec Kit (7 hours delivered over 1-2 days, online or on-site)
Spec-driven development with GitHub Spec Kit: the specify → plan → tasks → implement workflow, writing effective specifications, and integrating with Copilot, Claude Code, Cursor, and Windsurf.
- OpenAI Codex in Practice (14 hours delivered over 2-3 days, online or on-site)
OpenAI Codex as a multi-surface platform: the open-source CLI, IDE extensions for VS Code and JetBrains, cloud agents, Skills, Automations, and the GPT-5.x Codex model family.
Extending and Integrating AI Tools
- Model Context Protocol (MCP) for Developers (7 hours delivered over 1-2 days, online or on-site)
Building and consuming MCP servers to extend coding assistants with internal tools, data sources, and APIs using the Model Context Protocol standard.
- Building Custom Tools and Skills for AI Coding Agents (7 hours delivered over 1-2 days, online or on-site)
Function calling, tool design, and safe execution sandboxes for extending AI coding agents with custom capabilities.
- Retrieval-Augmented Code Generation: Grounding Agents in Your Codebase (14 hours delivered over 2-3 days, online or on-site)
Embeddings, code search, and repo-aware retrieval strategies for grounding AI coding agents in large private codebases.
Building AI-Powered Applications
- LLM Application Development with TypeScript and Python (14 hours delivered over 2-3 days, online or on-site)
End-to-end LLM application development using TypeScript and Python: prompt pipelines, tool use, streaming, structured output, and production deployment.
- Production RAG Systems for Engineering Teams (14 hours delivered over 2-3 days, online or on-site)
Building production-grade retrieval-augmented generation systems: chunking, hybrid search, reranking, evaluation harnesses, and deployment.
- Designing Multi-Agent Systems (14 hours delivered over 2-3 days, online or on-site)
Orchestration patterns, planner/worker architectures, agent hand-offs, and failure recovery for production multi-agent systems.
- Voice and Multimodal AI for Developers (14 hours delivered over 2-3 days, online or on-site)
Real-time voice APIs, vision, document understanding, and multimodal application patterns for software engineers.
Quality, Safety, and Operations
- Evaluating AI Coding Assistants and LLM Apps (7 hours delivered over 1-2 days, online or on-site)
Eval harnesses, regression suites, and golden datasets for measuring and improving AI coding assistant and LLM application quality.
- LLM Observability and Cost Engineering (7 hours delivered over 1-2 days, online or on-site)
Tracing, token budgets, caching, and prompt versioning for production LLM applications that are observable and cost-controlled.
- Securing AI-Assisted Development Pipelines (7 hours delivered over 1-2 days, online or on-site)
Prompt injection, secret leakage, supply-chain risk, and policy guardrails for AI-assisted development pipelines.
- Responsible AI for Engineering Leaders (7 hours delivered over 1-2 days, online or on-site)
Governance, IP, licensing of AI-generated code, team policy design, and honest productivity measurement for engineering managers and tech leads.
Specialized Tracks
- AI for Legacy Code Modernization (14 hours delivered over 2-3 days, online or on-site)
Using AI agents to migrate, document, and refactor legacy codebases: dependency mapping, strangler-fig patterns, and incremental modernization.
- AI-Driven Test Generation and Maintenance (7 hours delivered over 1-2 days, online or on-site)
Unit, integration, and end-to-end test creation and maintenance using AI coding agents, from coverage gap analysis to test suite evolution.
- AI for DevOps and SRE (14 hours delivered over 2-3 days, online or on-site)
AI agents for infrastructure as code, CI/CD pipelines, incident response, runbook automation, and LLM-assisted log and trace analysis.
Superseded
- Prompt Engineering for Programmers [Superseded] (21 hours over 3-5 days, online and on-site)
Master prompt engineering and RAG with Ollama to build robust, business-ready LLM chatbots.
- GitHub Copilot Essentials [Superseded] (7 hours delivered over 1-2 days, online or on-site)
Master GitHub Copilot setup, prompting, and workflows to ship reliable code faster.
- Professional GitHub Copilot [Superseded] (7 hours over 1-2 days, online or on-site)
Customize and integrate GitHub Copilot to boost automation, code quality, and developer efficiency at scale.
- Multi-Agent GitHub Copilot [Superseded] (7 hours delivered over 1-2 days, online or on-site)
Design, scale, and govern AI coding agents to ship safer, faster, and cleaner software.
- GitHub Copilot as a Development Platform [Superseded] (14 hours delivered over 2-4 days, online or on-site)
Learn to build scalable AI developer tools using MCP and Copilot Extensions, from SDKs to GitHub integration.
- Cursor AI Essentials [Superseded] (7 hours delivered over 1-2 days, online or on-site)
Master Cursor AI to ship quality code faster with smart completions, prompts, and team-ready workflows.
- Windsurf Essentials [Superseded] (7 hours over 1-2 days, online or on-site)
Deliver safer code faster with Windsurf’s diff-first, human-in-the-loop workflows.
- Advanced Windsurf [Superseded] (7 hours over 1-2 days, online or on-site)
Master AI-assisted dev workflows to ship safer code faster: context, refactors, debugging, tests, team scale.