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AI Agents Course

Move from chatting with AI to delegating to AI — build agents that plan, act and deliver.

Quick Answer

An AI agent is a system where a language model does not just answer once but plans and executes multi-step tasks using tools such as search, email, spreadsheets and APIs. This course teaches you to design and build such agents through LIVE guided classes, primarily with no-code and low-code platforms.

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

A chatbot answers; an agent acts. Give it a goal — qualify these leads, compile this report, monitor these listings — and a well-built agent breaks the work into steps, calls the right tools, checks its own results and returns finished output. Companies are rushing to add this layer because it turns AI from a novelty into labour.

This course makes agent-building accessible without demanding a software engineering degree. You start with single-task agents on visual platforms, progress to multi-tool workflows with memory and guardrails, and finish by shipping agents that handle genuine business processes end to end.

What you will learn

  • Agent architecture fundamentals
  • Tool and function use
  • Memory and context design
  • Multi-step task orchestration
  • Guardrails and testing
  • Agent deployment basics

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

    What Makes an Agent

    • Chatbots vs copilots vs agents — capability spectrum
    • The loop: perceive, plan, act, observe, repeat
    • Realistic expectations: where agents fail today
  2. 02

    Building Your First Agent

    • Single-purpose agent on a visual builder
    • Giving tools: search, calculator, file access
    • Testing behaviour and reading traces
  3. 03

    Planning and Reasoning Design

    • Task decomposition strategies
    • System prompts that steer reliability
    • Handling ambiguity and asking-for-help patterns
  4. 04

    Tools, APIs and Actions

    • Connecting agents to email, sheets, CRMs and websites
    • Webhooks and triggers for event-driven agents
    • Authentication and permission scoping basics
  5. 05

    Memory and Context Engineering

    • Short-term vs long-term memory patterns
    • Knowledge files and retrieval for grounded answers
    • Context windows: budgeting information wisely
  6. 06

    Multi-Agent Collaboration

    • Manager-worker patterns for complex processes
    • Handoffs, state passing and escalation to humans
    • Case studies: research squad, content pipeline, support triage
  7. 07

    Guardrails, Testing and Cost Control

    • Input validation and output schemas
    • Evaluation sets for agent quality
    • Token costs, rate limits and graceful degradation
  8. 08

    Deployment and Monitoring

    • Running agents on schedules and events
    • Logging runs for audit and improvement
    • Human-in-the-loop checkpoints for risky actions
  9. 09

    Capstone Business Agents

    • Scope a process, map it to an agent architecture, build and present
    • Instructor review against production-readiness checklist

Practical projects you build

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

  • 1

    Lead-qualification agent that researches inbound enquiries and scores them into your CRM sheet

  • 2

    Daily news digest agent monitoring topics and emailing a formatted briefing

  • 3

    Invoice-chaser agent that reads a billing sheet, drafts reminders and logs outcomes

  • 4

    Recruitment screening assistant that summarises CVs against a role rubric for human decision

  • 5

    Customer-support triage agent that categorises tickets and drafts suggested replies

Benefits after completing

What changes once you apply these skills consistently.

  • Ability to automate processes that plain automations cannot judge

  • Reusable agent patterns applicable across departments

  • Portfolio of deployed agents — rare and persuasive in hiring conversations

  • Clear understanding of cost and risk before scaling agents at work

Career applications

AI automation specialist and AI operations roles Consultancy: implementing agents for SMEs is an emerging service market Product and project roles touching AI feature delivery Pathway onward to Agentic AI and LLM application development

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.

For this course, no. We use mature visual platforms where logic is configured, not coded. Developers who join can optionally attempt low-code extensions, and those wanting full SDK control should continue to the LLM Application Development course afterwards.

Interested in AI Agents 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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