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 Duration 21 hours

Course Outline

Core Concepts of Agentic AI

  • Defining autonomous agents: core concepts and classification
  • The agent loop: the perceive, decide, act, and observe cycle
  • Establishing design patterns for agent responsibilities and scope

Python Tools and Agent SDKs

  • Leveraging LangChain and similar SDKs to initiate agent development
  • Async programming, task queues, and managing subprocesses
  • Package management, virtual environments, and reproducible development pipelines

External Tool and API Integration

  • Creating tool interfaces and ensuring safe invocation patterns
  • Establishing connections to web APIs, databases, and internal services
  • Handling credentials, secrets, and enforcing least-privilege access

Memory, State, and Context Handling

  • Optimizing short-term context windows and prompt engineering techniques
  • Building long-term memory architectures using Redis, vector stores, and retrieval augmentation
  • Ensuring consistency, implementing caching strategies, and maintaining memory hygiene

Orchestration, Planning, and Multi-Step Processes

  • Chaining actions, utilizing subagents, and decomposing tasks
  • Comparing planning algorithms with heuristic orchestration
  • Managing failures, implementing retries, and executing compensating actions

Safety, Testing, and Observability

  • Developing threat models, conducting red-teaming, and sanitizing inputs/outputs
  • Performing unit, integration, and end-to-end testing for agents
  • Implementing logging, metrics, tracing, and alerting for agent performance

Deployment, Scaling, and Agent MLOps

  • Containerization, CI/CD pipelines, and effective rollout strategies
  • Managing costs, rate limiting, and optimizing resources
  • Monitoring, governance, and establishing operational playbooks

Conclusions and Future Directions

Requirements

  • Solid proficiency in Python programming
  • Practical experience with REST APIs and asynchronous I/O
  • Knowledge of machine learning principles and pretrained LLMs

Intended Audience

  • ML Engineers
  • AI Developers
  • Software Engineers

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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