AI & Dev

Agentic AI: From Concept to Autonomous Systems

Intermediate
Agentic AI Tool Use Memory & RAG Multi-Agent Systems Evals & Observability
Agentic AI: From Concept to Autonomous Systems Role-based lab tracks

Overview

This course moves beyond basic prompt engineering to teach the engineering principles behind agentic systems: software that perceives, reasons, acts, and reflects. It balances theoretical frameworks with hands-on labs, offering breakout tracks for specific roles (developers, QE/SDETs, and analysts).

Who Is This For

  • Corporate developers and QE/SDETs building agentic systems
  • Data analysts and computer science graduates moving into AI engineering

Prerequisites

  • Basic coding proficiency (Python preferred)
  • Understanding of HTTP and APIs

Learning Path

  • Understand the shift from chatbot to agent
  • Apply reasoning prompts such as chain of thought and ReAct
  • Build a simple reasoning loop with structured output

  • Use function calling to give agents access to APIs and environments
  • Design clear tool schemas and docstrings
  • Apply human-in-the-loop safety for sensitive actions and run code in a sandbox

  • Manage short-term memory and the context window
  • Add long-term memory with embeddings and retrieval
  • Model agent flows as state machines and graphs

  • Choose between single-agent and multi-agent designs
  • Apply handoff, supervisor, and hierarchical team patterns
  • Build a supervisor that coordinates specialized agents in a team project

  • Evaluate agents with LLM-as-a-judge and eval pipelines
  • Trace agent steps and optimize cost and latency
  • Adversarially test your own agent before production

By the end: You can design, build, evaluate, and harden agentic systems for production use.

What You'll Receive

  • Hands-on lab exercises and a sample code repository to keep
  • Course slides and reference guides for every module
  • Session recordings for review after class
  • Certificate of completion
  • A post-course support window for follow-up questions

Delivery Options

Online Classes

Live, interactive sessions from anywhere. Small batches for personalized attention.

1-to-1 Coaching

Personalized mentorship with flexible scheduling tailored to your goals.

Enterprise Training

Customized programs for teams, delivered online or on-site, scoped to your stack.

Learn More

Your Instructor

Taught by a practicing engineer with hands-on experience building and scaling test automation, CI/CD, and AI-assisted tooling across enterprise teams. Every session is delivered by the instructor - no recordings-only courses, no junior stand-ins - with real-world examples drawn from production projects.

Frequently Asked Questions

This course is pitched at Intermediate level - you should have basic coding proficiency (Python preferred) and understand HTTP and APIs. We can advise on readiness during a free consultation.

Both. We deliver live online classes, 1-to-1 coaching, and on-site or remote enterprise sessions for teams.

Yes. For enterprise engagements we tailor examples, exercises, and the detailed outline to your application, tools, and timeline.

Yes - a certificate of completion is provided at the end of the course.

Basic coding proficiency (Python preferred); Understanding of HTTP and APIs.

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