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Agentic AI Course

Design engineering-grade agentic systems — orchestration, evaluation, guardrails and production discipline.

Quick Answer

The Agentic AI Course is an advanced LIVE online program covering the engineering side of autonomous AI systems: how to architect planning loops, connect tools and retrieval, evaluate reliability, control costs and operate agents safely in production.

  • Instructor-led LIVE classes
  • Practical projects
  • Pan-India online
  • Beginner-friendly paths

About this program

Demos are easy; dependable agents are hard. Real deployments fail on long-horizon planning, brittle tool calls, silent quality drift and runaway costs. Closing that gap is what separates someone who has played with agent builders from someone trusted to put agents in front of customers.

This course treats agency as a system-design problem. You will study orchestration patterns, wire up retrieval and memory deliberately, build evaluation suites, and learn the operational habits — logging, tracing, budgeting, fallbacks — that keep agentic products alive after launch.

What you will learn

  • Agentic architecture design
  • Orchestration patterns
  • Retrieval-augmented agents
  • Evaluation and observability
  • Safety and guardrail engineering
  • Cost-performance tuning

Course curriculum

A structured progression across 9 modules — each combining live teaching, guided practice and review. Topic emphasis is tuned per batch to current tool versions.

  1. 01

    Anatomy of Reliable Agents

    • Failure taxonomy: why agents break in the wild
    • Autonomy levels and matching scope to risk
    • Reference architectures for common business patterns
  2. 02

    Reasoning and Planning Strategies

    • Plan-then-execute vs interleaved acting
    • Reflection and self-correction loops
    • Decomposition quality: prompts, schemas and checkpoints
  3. 03

    Tools as a First-Class System

    • Designing tool interfaces agents use correctly
    • Idempotency, retries and safe side-effects
    • Tool selection breadth vs precision trade-offs
  4. 04

    Retrieval-Augmented Agency

    • Grounding agent decisions with document stores
    • Chunking and metadata strategies for action contexts
    • Freshness, sync jobs and stale-knowledge traps
  5. 05

    Multi-Agent Orchestration

    • Supervisor, pipeline and debate patterns compared
    • State management across handoffs
    • Escalation design: when agents must ask humans
  6. 06

    Evaluation Before Optimisation

    • Building task-level test suites and golden sets
    • Tracing runs and reading them like a doctor reads scans
    • Regression testing prompts without freezing progress
  7. 07

    Guardrails, Safety and Compliance

    • Input/output validation layers
    • Permission models for dangerous actions
    • Audit trails suitable for client organisations
  8. 08

    Cost, Latency and Model Strategy

    • Model routing: right size per step
    • Caching, batching and context trimming
    • Budgets, alerts and degradation ladders
  9. 09

    Capstone Production Build

    • End-to-end agentic solution with evaluation report
    • Operational runbook handover reviewed by instructor

Practical projects you build

These become portfolio pieces — evidence of skill for employers and clients.

  • 1

    Research analyst pipeline that gathers sources, cross-checks claims and files a cited brief daily

  • 2

    Customer-onboarding orchestrator coordinating verification, data entry and welcome comms

  • 3

    Internal helpdesk agent with retrieval over company policy docs and human escalation ladder

  • 4

    Market-monitoring multi-agent squad producing weekly competitive intelligence reports

Benefits after completing

What changes once you apply these skills consistently.

  • Ability to ship agents that survive contact with real users

  • Evaluation skills that turn vague quality complaints into fixable defects

  • Architecture vocabulary to lead technical discussions credibly

  • A capstone with operational documentation — strong senior-interview material

Career applications

AI engineer / agentic systems roles (paired with your coding depth) Technical consultant for agencies and SMEs adopting AI Platform and integration specialist positions Bridge role toward LLM application development teams

Outcomes depend on individual effort and market conditions — we prepare skills, never sell guaranteed placements.

Trainer Experience

Learn from people who do the work

Training is delivered by industry-experienced professionals with 10+ years of practical experience. Sessions include real demonstrations, honest trade-off discussions and feedback shaped by production realities.

LIVE Online Training Details

What every session includes

  • Instructor-led LIVE sessionsInteractive video classes — ask, practise, clarify instantly.
  • Practical demonstrationsWatch real builds happen on screen, step by step.
  • Doubt solvingQuestions answered during class and through batch support.
  • Guided projectsAssignments reviewed by instructors with specific feedback.
  • Accessible pan-IndiaAttend from home or office anywhere in India — no centre needed.

Frequently asked questions

Specific answers about this program. Anything else — WhatsApp us, we reply.

Lighter than a software-development bootcamp but heavier than no-code courses. Expect configuration, JSON schemas, expressions and occasional scripts. Learners comfortable following technical instructions manage well; deep programming is not the point of this program.

Interested in Agentic AI Course?

Share your details — our counselling team will share batch schedules, fee structure and arrange your free demo class.

Request a Call Back

Share your details and our counselling team will contact you with batch details and a free demo.

Prefer instant answers? Chat on WhatsApp  or  call +91 81888 77720.

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