ADaSci Academy

    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-ter…

    4,795+ enrolled
    10 hours
    Intermediate
    Agentic AI - From Inception to Production
    01 — Overview

    About this course

    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 architectures, equipping them to build reliable, enterprise-ready AI agents.

    02 — Outcomes

    What you'll learn

    ✓
    Design and deploy production-grade agentic AI applications with scalable infrastructure
    ✓
    Implement CI/CD pipelines and automated cloud provisioning for AI systems
    ✓
    Apply observability and telemetry techniques to debug and monitor non-deterministic agents.
    ✓
    Understand and integrate agent interoperability protocols such as Model Context Protocol, Agent-to-Agent Protocol, and Agent Communication Protocol
    ✓
    Build persistent memory architectures that enable agents to maintain long-term context and learn from interactions.
    03 — Curriculum

    Course content

    4 sections · 15 lectures

    Ship Battle-Tested Agentic AI into the Real World
    99m
    GitHub Repo for AWS Copilot Deployment
    0
    AWS Copilot - Slide Deck
    0
    Amazon Copilot - Handout
    0
    Telemetry that Makes Agents Observable at Scale
    112m
    Telemetry that Makes Agents Observable at Scale - Slide Deck (PDF)
    0
    Github Repo for Observability
    0
    The Battle for Agent-to-Agent Interoperability
    121m
    GitHub Repo for MCP and A2A
    0
    MCP and A2A - Slide Deck
    0
    Model Context Protocol: A Standard for Interoperable and Context-Aware AI
    0
    Agent-to-Agent (A2A) Protocol - Enabling Seamless Communication and Collaboration Among AI Agents
    0
    Designing Persistent Memory for Production Agents
    106m
    Designing Persistent Memory for Production Agents - Slide Deck (PDF)
    0
    Github Repo for Memory
    0
    04 — Prerequisites

    Requirements

    • 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.
    05 — Audience

    Who should take this course

    • 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.

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    Agentic AI - From Inception to Production

    $199.00

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    Duration10h
    LevelIntermediate

    $199.00