ClinchWorks

Build skills.
Put them to work.

Explore a subject, work through the curriculum, and choose your next step.

Filters and sorting
Subjects
Levels

Study-time filters use courses with a stated duration in hours or minutes.

39 courses found · Page 4 of 7Clear filters
  1. Google Antigravity SDK — Python Agent Engineering & Orchestration

    Master programmatic agent engineering with the official Google Antigravity Python SDK (`google-antigravity`). Build custom autonomous agents, orchestrate multi-agent swarms, stream real-time thought chains and tool calls, author type-safe custom tools with Pydantic, configure enterprise security capabilities, build automated CI/CD code review bots, and implement resilient production telemetry.

    Artificial IntelligenceIntermediate to Advanced6 Weeks8 modules
    Free course
  2. Hugging Face for AI Engineers

    Use Hugging Face as the practical interface to modern pretrained models, tokenizers, datasets, and inference pipelines. Includes detailed lessons, worked calculations, a complete offline reference project, debugging exercises, optional real-tool workflows and separate instructor assessment.

    Artificial IntelligenceIntermediate18–26 study hours including labs7 modules
    Premium access
  3. LangChain and LlamaIndex

    Use orchestration frameworks only after understanding the underlying LLM and retrieval primitives. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.

    Artificial IntelligenceIntermediate to Advanced18–30 hours6 modules
    Premium access
  4. LangGraph for Stateful AI Systems

    Build explicit, stateful agent workflows with routing, loops, persistence, and human control. Expanded engineering lessons with worked examples, runnable local practice, failure investigation and evidence-based assessment.

    Artificial IntelligenceIntermediate to Advanced24–40 hours8 modules
    Premium access
  5. LLM and AI Engineering: Foundations, RAG, Agents, and Production Design

    Build a practical foundation in LLM application engineering through twelve detailed lessons, local Python exercises, a complete evidence-based assistant capstone, and twenty scenario assessment questions. Learn prompting, structured outputs, retrieval, agents, state, evaluation, adaptation choices, inference economics, and production design without requiring paid model calls.

    Artificial IntelligenceBeginner to Advanced12 Weeks14 modules
    Free course
  6. LLM Serving and Inference APIs

    Serve models through reliable APIs with streaming, batching, monitoring, and sensible deployment boundaries. Actual count-based generation and serving state transitions plus optional HTTP and model-runtime integration. Includes detailed lessons, worked solutions, failure injection, independent challenges and instructor assessment.

    Artificial IntelligenceAdvanced18–26 hours7 modules
    Premium access