Master Skills with
Hands-On Learning
Every course includes a personal AI instructor. From cloud labs to interactive simulations — learn by doing, not just watching.
AI-200: Developing AI Cloud Solutions on Azure for Python Developers
Build production-ready Python AI back-ends on Azure across 12 hands-on labs: containers (ACR, App Service, Container Apps, AKS), data services with vector search (Cosmos DB, PostgreSQL pgvector, Managed Redis), eventing (Service Bus, Event Grid, Functions), and security + observability (Key Vault, App Configuration, OpenTelemetry, KQL). Capstone integrates everything into the Northwind Logistics back-end. Prepares you for Microsoft Exam AI-200.
Building MCP Servers for Claude Code: From Zero to Production
Go from zero to production MCP server developer for Claude Code. Master tools, resources, prompts, sampling, roots, elicitation, Streamable HTTP, OAuth 2.1, observability, and registry publishing in TypeScript.
Building a Retirement & Portfolio App with Next.js and Claude Code
Build a retirement & portfolio web app with Next.js 16, TypeScript, PostgreSQL, Tremor & Visx charts, and a Claude-powered AI assistant — across 8 hands-on modules using Claude Code as your AI pair programmer.
Building an AI-Powered Field Inspection App with Expo and Claude Code
Build a mobile field inspection app with Expo, TypeScript, and Claude Code. Cover equipment management, camera capture, Claude Vision AI defect analysis, checklists, and PDF reports across 7 hands-on labs.
OpenAI: Pages Unwritten — Build a Choose-Your-Own-Adventure
Build a playable choose-your-own-adventure visual novel with the OpenAI API. Add a storyteller, branching choices, scene backgrounds with gpt-image-1, story-arc tracking, and streaming — one exercise at a time.
OpenAI: Dungeon Quest — Build an AI-Powered RPG
Build a playable web RPG step by step using the OpenAI API. Add a game master, NPC dialogue, combat narration, structured output, streaming, and voiced speech narration — one exercise at a time.
AI-901: Microsoft Azure AI Fundamentals for Business Professionals
Foundational, hands-on AI-901 prep for business professionals. Learn Responsible AI, Foundry models, prompts, agents, text, speech, vision, and Content Understanding — all in the Azure portal, no coding required.
Introduction to Gemini Enterprise Agent Platform for Python Developers
Developer-first introduction to Gemini on the Gemini Enterprise Agent Platform using the google-genai SDK. Build real Python apps with multimodal prompts, streaming, thinking mode, safety settings, and structured JSON output. Ends with a capstone merch-desk CLI.
AI-103: Developing AI Apps and Agents on Azure for Python Developers
Build production-ready generative AI solutions and agents on Azure using Microsoft Foundry, Azure OpenAI, Azure AI Agents Service, Azure AI Search, Content Understanding, Vision, and Speech — aligned to the AI-103 certification.
Google Cloud Generative AI Leader Certification
Prepare for the Google Cloud Certified Generative AI Leader exam. Covers gen AI fundamentals, Google Cloud AI products, model improvement techniques, and business strategy for AI adoption.
OpenAI: Multimodal Applications with GPT-4o
Build multimodal AI applications with GPT-4o vision, Whisper audio transcription, TTS speech synthesis, and gpt-image-1 image generation.
OpenAI: Embeddings & Retrieval Systems (RAG)
Build production RAG pipelines with OpenAI embeddings, pgvector, hybrid BM25+vector search, and the native File Search API.
OpenAI: Tool Calling & Structured Outputs
Build production-grade tool-calling systems with JSON Schema definitions, parallel execution, Pydantic structured outputs, and role-based permission enforcement.
OpenAI: Prompt Engineering for Developers
Design reliable, cost-efficient prompts using personas, few-shot examples, chain-of-thought, prompt chaining, and injection defense. Five hands-on labs from classifier to document pipeline.
OpenAI: Getting Started with the OpenAI API
Build your first AI applications with the OpenAI Python SDK. Master authentication, the Responses API, streaming, token optimization, and structured outputs through 5 hands-on labs.
GCP: Google Cloud AI APIs
Use Google Cloud's pre-trained AI APIs — Vision, Natural Language, Speech-to-Text, and Translation — with simple Python REST calls. No ML knowledge required.
GCP: Gemini API Fundamentals
Build real applications with Google's Gemini API in Python — text generation, vision, chat, and function calling from scratch.
GCP: Associate Cloud Engineer
Prepare for the Google Cloud Associate Cloud Engineer exam with paired teaching lessons and hands-on GCP labs covering all four exam domains.
GCP: Cloud Digital Leader
Prepare for the Google Cloud Digital Leader certification. Covers all 6 exam domains: digital transformation, data, AI/ML, infrastructure modernization, security, and cloud operations.
Java on Azure
Migrate a Spring Boot Customer Portal to Azure: App Service, Container Apps, Key Vault, PostgreSQL, Service Bus, and Application Insights. Seven labs, real Azure resources.
Java Performance and Production Patterns
Optimize a Java order processing system through concurrency, async pipelines, connection pooling, caching, JMH benchmarking, and GC tuning. Gain 40x throughput improvement across 7 hands-on labs.
Testing Java Applications with JUnit 5 and Mockito
Learn JUnit 5 and Mockito by adding tests to a pre-built e-commerce application. Covers unit tests, mocking, MockMvc, @DataJpaTest, TDD, and integration tests with Testcontainers.