AI engineering changes weekly. This program is built to evolve. Everything below is deliberate room for future improvement; PRs are welcome (see .github/CONTRIBUTING.md).
- 24-week curriculum with weekly READMEs, notebooks, and use cases
- Knowledge base (Ng framework, LLM core, agents, platforms, Databricks)
- Skill guides: Claude Code, Cursor, DeepSeek Harness, OpenCode, OpenRouter, local stacks
- Agents section: fundamentals, multi-agent, MCP, OpenClaw, Hermes
- Cloud platforms: Azure AI Foundry, Google Vertex AI, AWS Bedrock
- Databricks zero-to-hero module (Unity Catalog → Lakeflow → Mosaic AI → production)
- Excel 24-week progress tracker with visual dashboard
- Branding: Zorost Intelligence, zorost.com
- Rich lesson standard, every week README is a 2,000 to 3,500-word lesson (problem, deep concepts, diagrams, worked examples, pitfalls, glossary, quiz)
- Video walkthroughs for each week (YouTube + embedded links)
- Weekly quizzes, a 10-question
quiz.mdper week with answer key - Docker-based lab environment (devcontainer with Jupyter + Ollama)
- GitHub Actions CI that smoke-tests every notebook on CPU
- GitHub Discussions templates for questions and week-by-week help
- Week 25+: AgentOps & Observability deep dive, LangSmith, Langfuse, OpenTelemetry for agents; cost dashboards; production tracing
- Evaluation engineering module, LLM-as-judge calibration, synthetic eval data generation, red-teaming, regression suites
- Multimodal track, vision-language models, document AI, speech pipelines
- Additional cloud platforms, Snowflake Cortex, Oracle AI, IBM watsonx
- Edge & mobile AI, on-device inference (MLX, ExecuTorch, llama.cpp on mobile)
- AI security & red-teaming track, OWASP LLM Top 10, guardrails engineering
- Regulated-industry track, audit trails, lineage, compliance patterns (extension of Zorost's aviation/pharma/gov work)
- AI product & spec shaping track, Ng's "shaping the build" in depth: MVP decisions, user research for AI, refused-tradeoff playbooks
- Translations (content is MIT-licensed; community translations welcome)
- Regional cloud editions (more regions, sovereign-cloud notes)
- A "Fast Track" 8-week variant for experienced engineers
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