$597.00 – Purchase this Course

A self-paced course on the backend engineering behind autonomous and semi-autonomous language model agents. Six modules cover agent architecture and control loops, designing tools and function interfaces, retrieval and knowledge grounding, state and memory management, evaluation and regression testing for non-deterministic systems, and deploying agents with cost controls guardrails and observability.

Written for backend and platform engineers who can already build APIs and now need to make agent systems reliable enough for real users and real budgets. Tech Skills Library is independent and issues no certification, credential or licence.

Modules

Module One — Agent Architecture and Control Loops

Lessons

• Anatomy of an Agent Runtime Free Preview
• Choosing Between Single Agent and Multi Agent Designs
• Planning Strategies and Reasoning Patterns

Module Two — Tool and Function Interface Design

Lessons

• Writing Tool Schemas the Model Uses Correctly
• Sandboxing Side Effects and Dangerous Actions
• Handling Tool Failures and Partial Results

Module Three — Retrieval and Knowledge Grounding

Lessons

• Chunking and Indexing Documents for Agent Use
• Hybrid Search and Reranking for Better Recall
• Giving Agents Retrieval as a Tool Rather Than a Prefix

Module Four — State Memory and Context Management

Lessons

• Managing the Context Window as a Budget
• Short Term and Long Term Memory Stores
• Durable Execution for Long Running Agent Jobs

Module Five — Evaluation and Regression Testing

Lessons

• Building an Evaluation Set From Real Traffic
• Grading Agent Output Automatically
• Detecting Regressions When Models and Prompts Change

Module Six — Deployment Cost Control and Observability

Lessons

• Tracing Agent Runs End to End
• Controlling Token Spend Without Degrading Quality
• Guardrails Prompt Injection and Abuse Handling