Tools
Instructor-led training in developer tools: AI coding assistants, cloud, databases, DevOps, CI/CD, containers, and engineering fundamentals. Reframes prompt engineering around context windows, system prompts, tool definitions, and structured outputs for professional software development workflows. Model-agnostic foundations covering capabilities, tradeoffs, pricing, latency, and when to reach for which frontier model in real engineering workflows. Habits, review discipline, when to trust generated code, security pitfalls, and team workflows for sustainable AI-assisted software development. Everything teams need from GitHub Copilot today: Chat, Edits, Agents, Spaces, MCP, the Copilot CLI, and Next Edit Suggestions in one current course. Master Cursor 3.0 for teams: Composer 2 (Cursor's Kimi K2.5-based model), Background and Cloud Agents, rules files, and project-level context management. A decision-framework course comparing Cursor, Windsurf, Zed, and VS Code Copilot to help individuals and teams make an informed AI IDE selection. Terminal-driven agentic development with Claude Code: subagents, hooks, skills, plugins, slash commands, CLAUDE.md configuration, and real-world workflows. A 1-day decision-oriented survey of leading coding agents (Claude Code, OpenAI Codex, Aider, Devin) that funnels into the deep-dive course for your tool. 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: the specify, plan, tasks, implement workflow, writing effective specs, and integrating with leading AI agents. OpenAI Codex as a multi-surface platform: the open-source CLI, IDE extensions, cloud agents, Skills, Automations, and the GPT-5.x Codex model family. Delegate engineering work to GitHub Copilot agents: agent mode, the Copilot CLI, the cloud coding agent, and issue-to-PR flows in the IDE and terminal. Delegate engineering work to Claude Code agents in the terminal, IDE, and on github.com: plan mode, subagents, the cloud agent, and issue-to-PR workflows. Delegate engineering work to Cursor agents across the IDE, terminal, and cloud: agent mode, plan mode, the Cursor CLI, background agents, and Bugbot review. Delegate engineering work to Windsurf agents: Cascade in the editor and Devin cloud agents, with planning mode, memories, rules, MCP, and issue-to-PR flows. Hands-on Aider: chat and architect modes, git-first workflows, repo maps, auto-lint and auto-test loops, scripting, and running fully local with open models. Embeddings, code search, and repo-aware retrieval strategies for grounding AI coding agents in large private codebases. Prompt injection, secret leakage, supply-chain risk, and policy guardrails for AI-assisted development pipelines. Governance, IP, licensing of AI-generated code, team policy design, and honest productivity measurement for engineering managers and tech leads. Using AI agents to migrate, document, and refactor legacy codebases: dependency mapping, strangler-fig patterns, and incremental modernization. Unit, integration, and end-to-end test creation and maintenance using AI coding agents, from coverage gap analysis to test suite evolution. AI agents for infrastructure as code, CI/CD pipelines, incident response, runbook automation, and LLM-assisted log and trace analysis. A 5-day intensive for Python developers: prompting and context engineering, IDE assistants, agentic coding, AI-driven testing, and secure, governed adoption. A 5-day intensive for Rust developers: prompting and context engineering, IDE assistants, agentic coding, AI-driven testing, and secure, governed adoption. A 5-day intensive for JavaScript and TypeScript developers: prompting and context engineering, IDE assistants, agentic coding, testing, and governed adoption. A 5-day intensive for C# and .NET developers: prompting and context engineering, IDE assistants, agentic coding, AI-driven testing, and governed adoption. Build, run, and ship production-ready Docker containers with Compose, Swarm, DevContainers, and CI/CD. Hands-on Kubernetes 1.33+: YAML, Helm, networking with Gateway API, storage, RBAC, Pod Security Admission, observability, and CI/CD. Live Azure DevOps training: plan, build, test, release, and IaC to accelerate secure, reliable delivery today. Master GHAS to shift left with CodeQL, Dependabot, and secret scanning integrated into your CI/CD. Build secure, scalable Azure infrastructure with Terraform, from HCL basics to CI/CD, testing, and governance. Secure coding principles, threat modeling, the OWASP Top 10, SAST and DAST, and integrating security into the software lifecycle with DevSecOps practices. Build production CI/CD pipelines with GitHub Actions: workflow syntax, matrix builds, caching, reusable workflows, environments, OIDC auth, and security. Instrument traces, metrics, and logs with OpenTelemetry in Python, .NET, and Node.js: the Collector, sampling, semantic conventions, SLOs, and cost control. Docker and Kubernetes for developers and admins: containers, images, storage, networking, deployments, services, Ingress, Compose, Azure ACR, ACI, and AKS. Docker and Kubernetes for developers and admins: containers, images, storage, networking, deployments, services, Ingress, Compose, AWS ECR, ECS, and EKS. Build fast, secure Python apps on PostgreSQL 18: SQL and schema design, JSONB, PL/pgSQL, async SQLAlchemy 2.0 with asyncpg, pandas, and pgvector search. Hands-on PostgreSQL administration: secure, monitor, tune, back up, and operate PostgreSQL 16, 17, and 18 in production. PL/pgSQL deep-dive: writing stored procedures, functions, triggers, window functions, and dynamic SQL on modern PostgreSQL. Hands-on AWS RDS PostgreSQL admin: secure, monitor, tune, back up, and troubleshoot for uptime and cost. Build, secure, scale, and monitor PostgreSQL on Azure Flexible Server for real workloads. A standards-first introduction to SQL on PostgreSQL 18: the relational model, SELECT, joins, aggregation, subqueries, CTEs, and window functions. A foundation course for engineers new to AWS: cloud concepts, IAM and security, compute, storage, database, networking, monitoring, and cost management. Design scalable AWS solutions with the Well-Architected Framework: resilient compute, serverless, storage, networking, security, and cost optimization. An introduction to Microsoft Azure for engineers: cloud concepts, compute, storage, networking, identity with Entra ID, security, monitoring, and cost. Design enterprise Azure infrastructure with the Well-Architected Framework: governance, compute, containers, networking, zero-trust security, and Bicep. How cloud reshapes enterprise architecture: cloud models, the 7 Rs migration framework, security, governance, FinOps Cloud+, and organizational change. Use Git well: the object model, branching strategies, pull request workflows, interactive rebase and bisect, reflog recovery, and GitHub team features. Real command-line fluency for developers: shell fundamentals, files and processes, pipes, text tooling with grep, sed, awk, and jq, and robust Bash scripting. Design APIs that last: resource modeling, HTTP semantics, versioning, RFC 9457 errors, contract-first OpenAPI, OAuth2, webhooks, and choosing GraphQL or gRPC. SOLID and the Gang of Four patterns for Python developers: Pythonic alternatives with first-class functions, protocols, decorators, and modules. SOLID and the Gang of Four patterns for C# developers on .NET 10: modern alternatives with delegates, records, pattern matching, LINQ, and DI. SOLID and the Gang of Four patterns for TypeScript developers: structural typing, discriminated unions, generics, functional composition, and DI. Build a reliable Playwright end-to-end suite: locators, web-first assertions, fixtures, network mocking, parallelism, trace debugging, and flake reduction.Foundations
IDE and Editor Assistants
Agentic and Terminal-Based Coding
Extending and Integrating AI Tools
Quality, Safety, and Operations
Specialized Tracks
Five-Day Intensives
AWS
Azure
Cloud Architecture
Developer Workflow
Design
Testing