Microsoft Agent Framework Go — Every Lesson
A lesson-by-lesson course through the Microsoft Agent Framework Go: agents, tools, workflows, memory, and production patterns, each with runnable Go code.
Course Series
Deep, structured series that take a topic from first principles to production — 26 series, 339 lessons in total. Each one is a self-contained curriculum you can work through in order.
Google ADK, Concept by Concept
Google's Agent Development Kit explained one concept at a time — agents, tools, sessions, artifacts, and orchestration, with concrete examples.
Road Go Ever On
An original Go-language curriculum, from fundamentals through concurrency, tooling, and idiomatic production Go.
AI Engineering in Go
Building AI systems from scratch in Go — embeddings, retrieval, prompting, evaluation, and serving — without hiding behind a framework.
Learning the Microsoft Agent Framework — Go
A guided introduction to the Microsoft Agent Framework in Go, building up the core concepts one focused lesson at a time.
Learning the Microsoft Agent Framework — Python
A guided introduction to the Microsoft Agent Framework in Python, building up the core concepts one focused lesson at a time.
LangGraph, Concept by Concept
LangGraph explained one concept at a time — state, nodes, edges, checkpointing, and human-in-the-loop — for building reliable stateful agent graphs.
ADK to Microsoft Agent Framework Migration
A practical migration path from Google's Agent Development Kit to the Microsoft Agent Framework — concept mapping, code translation, and the gotchas that bite.
AI Governance for Engineers
AI governance made concrete for engineers — the NIST AI RMF, EU AI Act, ISO/IEC 42001, and how to build them into the SDLC.
AI Red Teaming
Red-teaming AI systems — adversarial testing, jailbreaks, attack taxonomies, and how to probe models and agents before attackers do.
AI Security Engineering
Securing AI systems in production — the OWASP LLM Top 10, MITRE ATLAS, prompt injection, data exfiltration, and defensive engineering.
Amazon Bedrock in Go
Using Amazon Bedrock from Go with the AWS SDK for Go v2 — models, tool use, streaming, embeddings, and guardrails.
API Design
Designing APIs people love to use — resource modeling, versioning, pagination, errors, and the conventions that age well.
API Security
Securing APIs end to end — authentication, authorization, rate limiting, input validation, and the OWASP API risks that matter most.
Claude Code
Working effectively with Claude Code — the agentic, terminal-native coding tool — from mental model to hooks, skills, and real workflows.
Code Review
The craft of code review — what to look for, how to give feedback, and the practices that make review a force multiplier, not a bottleneck.
DevSecOps
Security woven into the delivery pipeline — supply-chain integrity, SAST/DAST, secrets, policy-as-code, and shifting security left.
Evaluating Agents in Go
Evaluating AI agents in Go — building the datasets, scorers, and regression harnesses that tell you whether an agent actually works.
Forward Deployed Engineering
The forward-deployed engineer's playbook — embedding with customers, rapid iteration, and turning field work into durable product.
Harness Engineering in Go
Engineering rigor in Go — testing, benchmarking, profiling, and the harness patterns that keep production Go services honest.
IBM watsonx in Python
IBM watsonx in Python — the watsonx.ai SDK and LangChain, Granite models, Granite Guardian, and watsonx.governance.
NVIDIA AI Stack in Python
The NVIDIA AI stack in Python — NIM microservices, NeMo, and Guardrails — wired together with the OpenAI client and LangChain.
System Design Fundamentals
The building blocks of large-scale systems — caching, sharding, queues, consistency, and the trade-offs behind every design decision.
The Fintech Engineering Handbook
The engineering behind financial systems — ledgers, money movement, KYC/AML, ISO 20022, and the correctness guarantees fintech demands.
The Software Architect's Path
What it takes to grow into a software architect — quality attributes, trade-off analysis, documentation, and stakeholder-driven design.
Python Programming
An original Python-language curriculum, from fundamentals through idiomatic, production-ready Python.