AI Training

AI for Developers

Productivity, automation, agents, and production-ready AI engineering.

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AI for Developers

Overview

Developers who master AI tooling ship faster and build smarter products. This course covers AI-assisted development workflows, advanced prompting, RAG and agent architectures, testing strategies, and production deployment — with hands-on labs and velocity benchmarks.

Curriculum

Week 1 — AI-Assisted Development

  • Coding assistants
  • Prompt patterns for code
  • Review automation

Week 2 — Prompt Engineering & LLM APIs

  • Structured outputs
  • API integration
  • Cost optimization

Week 3 — RAG & Agent Systems

  • Retrieval pipelines
  • Tool use
  • Agent orchestration

Week 4 — Testing & Deployment

  • Evaluation harnesses
  • Observability
  • Security basics

Week 5 — Capstone: Production AI Feature

  • End-to-end build
  • Documentation
  • Velocity report

Learning Outcomes

  • Personal AI development workflow with benchmarks
  • Deployed AI feature or agent prototype
  • Production checklist for LLM applications
  • Direct enroll path to Developer Productivity program

Skills Covered

AI Coding Assistants Prompt Engineering RAG Systems Agent Development

Expert Instructors

Learn from verified industry practitioners and professors from the Praktix expert network.

James Okafor

James Okafor

Principal Engineer · Stripe

Software Architecture · Cloud

Giuseppe Valetto

Giuseppe Valetto

AI Strategist · UniCredit

Software Development · AI & Machine Learning

David Chen

David Chen

Engineering Manager · Google

Cloud & DevOps · Leadership

Paul Hellwig

Paul Hellwig

CTO / CDAO · DEEEP.AI

AI & Machine Learning · Data Science

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