Is it free with membership?

Yes with Premium ($299/yr): every course is included. General members ($99/yr) pay half, $99.50 instead of $199.

What do I need before I start?

Basic familiarity with Python or similar programming language; Working knowledge of LLMs and agent-based workflows; Understanding of APIs, cloud services, or containerized environments.

Can my team take it together?

Yes. Institutional membership covers every seat under one agreement, and we run private cohorts for teams. Talk to us through the corporate training page.

Intermediate

Agentic AI - From Inception to Production

A hands-on workshop series that explores how to design, deploy, and scale Agentic AI systems. Participants learn production deployment, observability for non-deterministic agents, interoperability standards, and long-term memory architectu…

4,795+
enrolled: 10 hrs
of instruction: 15
lectures: 4
modules

Taught by Sachin Tripathi and Abhishek Kumar

Agentic AI - From Inception to Production

What's inside

Live sessions: 4 · 438 min
GitHub repos: 4
Decks & handouts: 7

01 · What you'll be able to do

Five things you can ship afterwards.

Design and deploy production-grade

Design and deploy production-grade agentic AI applications with scalable infrastructure.

Implement CI/CD pipelines

Implement CI/CD pipelines and automated cloud provisioning for AI systems.

Apply observability and telemetry

Apply observability and telemetry techniques to debug and monitor non-deterministic agents.

Understand and integrate agent

Understand and integrate agent interoperability protocols such as Model Context Protocol, Agent-to-Agent Protocol, and Agent Communication Protocol.

Build persistent memory architectures

Build persistent memory architectures that enable agents to maintain long-term context and learn from interactions.

02 · Curriculum

Four modules, one production agent.

4 modules · 15 lectures · 438 min of sessions

01 · 99m02 · 112m03 · 121m04 · 106m

Each block is one module, sized by session length.

Ship Battle-Tested Agentic AI into the Real World99m
GitHub Repo for AWS Copilot DeploymentRepo
AWS Copilot - Slide Deck Deck
Amazon Copilot - HandoutPDF

03 · Instructors

Taught by the people who built it.

Sachin Tripathi

Instructor · 13 courses on ADaSci

All courses by Sachin

Abhishek Kumar

Instructor · 14 courses on ADaSci

All courses by Abhishek

04 · Is it for you?

Who it's for, and what to bring.

Built for

AI engineers and developers building agent-based applications.
Data scientists looking to move from experimentation to production AI systems.
Platform or ML engineers responsible for deploying and monitoring AI workloads.
Tech leads and architects designing multi-agent or AI-driven systems.
Advanced practitioners and researchers exploring scalable, interoperable AI agents.

Bring with you

Basic familiarity with Python or similar programming language.
Working knowledge of LLMs and agent-based workflows.
Understanding of APIs, cloud services, or containerized environments.
Exposure to vector databases or retrieval-based AI systems (helpful but not mandatory).
Curiosity about building scalable AI systems beyond prototypes.

Next step · Prove it

This course prepares you for the CAASA credential.

The Certified Agentic AI System Architect (CAASA) exam tests the skills this course teaches. Members sit it at a discount.

See CAASA

05 · FAQ

Before you enrol.

Each of the 4 modules is a recorded live session, with the GitHub repo, slide deck and handouts from that session. Watch at your own pace.

$199.00

Related credentials

Certified Agentic AI System Architect (CAASA)

The industry-recognized agentic AI certification for engineers, architects and AI leaders. Master multi-agent systems, orchestration, governance and production deployment in 30 hours.