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AI Agents & Agentic AI

Live Online (VILT) & Classroom Corporate Training Course

Design, build and evaluate AI agents that can reason over tasks, use tools, maintain state and memory, execute multi-step workflows, interact with humans and operate reliably in real-world environments.

Expert-Led VILT & Classroom 16 Hours Level: Intermediate - Advanced Certificate of Completion
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Overview

Design, build and evaluate AI agents that can reason over tasks, use tools, maintain state and memory, execute multi-step workflows, interact with humans and operate reliably in real-world environments.

What You Will Learn

By the end of this course, learners will be able to:

  • Explain Agentic AI and distinguish AI agents from conventional LLM applications.
  • Design agent architectures using models, tools, memory, state and orchestration.
  • Implement function/tool calling and integrate external APIs, search, databases and files.
  • Build planning, reasoning and multi-step agent workflows.
  • Implement ReAct-style reasoning-and-action loops and controlled autonomy.
  • Manage agent memory, context, state transitions and persistence.
  • Add human-in-the-loop approval, validation, guardrails and failure recovery.
  • Evaluate agents using task success, tool accuracy, trajectory and response-quality metrics.
  • Build an AI research agent capable of planning, searching, synthesizing and reporting.
  • Design and demonstrate a production-oriented agent workflow.

Prerequisites

Working knowledge of Python, LLM fundamentals, APIs and basic prompt engineering is recommended. Familiarity with RAG is helpful but not mandatory.

Course Outline

  • What is Agentic AI?
  • Evolution from LLM Applications to AI Agents
  • LLM Applications vs AI Agents
  • Characteristics of an AI Agent
  • Autonomy, Goal-Directed Behavior and Decision Making
  • Agent Use Cases Across Industries
  • Benefits, Limitations and Risks

  • Anatomy of an AI Agent
  • Agent Inputs, Context and Goals
  • Planning and Task Decomposition
  • Reasoning and Decision Making
  • Perception, Action and Feedback Loops
  • Agent Orchestrator
  • Model, Tool, Memory and State Layers
  • Agent Execution Cycle
  • Designing Effective Agent Architectures

  • Why Agents Need Tools
  • Tool and Function Calling Fundamentals
  • Designing Tool Schemas
  • Tool Selection and Parameter Generation
  • API and Web Search Tools
  • Database and File Tools
  • Executing and Returning Tool Results
  • Multiple Tools and Tool Chains
  • Tool Permissions and Safety
  • Handling Tool Failures

  • Why Agents Need Memory
  • Short-Term Conversation Memory
  • Long-Term Memory Concepts
  • Working Memory and Context
  • Agent State
  • State Transitions
  • Checkpoints and Persistence
  • Memory Retrieval and Context Injection
  • Managing Memory Growth

  • What is an Agent Workflow?
  • Sequential Workflows
  • Conditional Workflows
  • Loops and Iterative Execution
  • ReAct Architecture
  • Reasoning and Acting Cycles
  • Observation and Feedback
  • Multi-Step Task Execution
  • Workflow Routing and Control
  • Designing Reliable Agent Loops

  • Human-in-the-Loop Fundamentals
  • Approval and Review Points
  • Human Intervention and Escalation
  • Input and Output Validation
  • Agent Error Handling
  • Retries and Exponential Backoff
  • Tool and Model Fallbacks
  • Timeouts and Failure Recovery
  • Guardrails and Safety Controls

  • Why Agent Evaluation is Different
  • Defining Agent Success Criteria
  • Task Completion and Success Rate
  • Tool Selection and Execution Accuracy
  • Trajectory and Workflow Evaluation
  • Response Quality and Groundedness
  • Human Evaluation
  • LLM-as-a-Judge
  • Tracing and Observability
  • Building Agent Evaluation Datasets

  • Autonomous Task Execution
  • Goal Setting and Task Planning
  • Task Decomposition
  • Dynamic Planning
  • Multi-Step Agent Loops
  • Stopping Criteria and Completion Detection
  • Handling Unexpected Results
  • Agent Boundaries and Permissions
  • Safe Autonomy Patterns
  • Designing Agents for Production

  • Define the Research Use Case
  • Design the Agent Architecture
  • Create the Research Planning Prompt
  • Integrate Search and Retrieval Tools
  • Implement Tool Calling
  • Collect and Manage Research Sources
  • Maintain Agent State and Context
  • Analyze and Synthesize Retrieved Information
  • Generate a Structured Research Report
  • Add Source References and Evidence Tracking
  • Implement Error Handling and Validation
  • Test Multiple Research Tasks
  • Evaluate Research Quality

  • Capstone Requirements and Use-Case Definition
  • Design the Production Agent Architecture
  • Define Agent Goals and Task Boundaries
  • Implement Planning and Multi-Step Execution
  • Integrate Multiple Tools
  • Implement Agent Memory and Persistent State
  • Add Human-in-the-Loop Approval
  • Implement Validation, Retries and Fallbacks
  • Add Guardrails and Permission Controls
  • Implement Logging and Agent Tracing
  • Create an Agent Evaluation Dataset
  • Measure Task Success and Tool Performance
  • Optimize Agent Workflow and Reliability
  • Production Readiness Review
  • Final Demonstration and Technical Presentation

The Synergific Advantage

Why enterprise teams pick Synergific.

Authorised curriculum is the floor — not the differentiator. What sits above it is what gets renewed.

500+Enterprises served
50+OEM partnerships
1,100+Exam vouchers
< 4 hSolutions reply
01

Live Hands-On Cloud Labs

Every course ships with 24/7 access to production-grade AWS, Azure, GCP and OCI environments. Real consoles, real workloads, the bills handled by us.

→ 02

Hire-Train-Deploy

We source, train, and deploy certified engineers on your project. Single contract, billable from week one, replacement guarantee on attrition.

→ 03

Four-Hour Solutions SLA

Direct line to a senior solutions advisor — not a ticket queue, not an offshore desk. Reply within four business hours, every time.

→ 04

Voucher-Backed Certification

1,100+ exam vouchers from 50+ OEMs at enterprise pricing. Most certifications include retake protection — success measured after the exam.

→ 05

Authorised Curriculum, Local Delivery

Microsoft Solutions Partner, AWS APN, Red Hat, Cisco, Oracle, EC-Council, PECB and more. Exact official content delivered with our trainers, our labs, our SLA.

→

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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