Applied Agentic AI Training — brochure
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Assure SuccessCourse brochure 2026Applied Agentic AI Training
Design and build AI agents that plan, call tools and complete multi-step tasks, in 16 focused live hours
- Duration
- 16 hours
- Format
- Live online, instructor-led
- Curriculum
- 8 modules · 32 topics
- Certificate
- Course completion certificate
What you get
About the course
Why take Applied Agentic AI Training?
Applied Agentic AI is a short, build-focused course on AI agents: systems where a language model decides which steps to take, calls tools such as search, databases or APIs, and loops until a task is done. Agents are powerful but easy to get wrong, so the course teaches both how to build them and how to keep them under control.
You start from a basic LLM API call and add structured outputs, then tool calling, then a planning loop. From there you add memory and retrieval, try simple multi-agent patterns, and connect tools through the Model Context Protocol. A good part of the 16 hours goes to the unglamorous but essential parts: testing agent behaviour, limiting loops and spend, handling failures, and deciding when a plain workflow is better than an agent.
There is no external exam. You finish with a small working agent and an Assure Success course-completion certificate.
Who should attend
- ● Python developers who want to build LLM-powered agents
- ● Data scientists and ML engineers extending into agentic workflows
- ● Automation and RPA professionals exploring AI-driven process automation
- ● Technical product managers and architects who need to judge agent designs
- ● Graduates with basic Python who completed a generative AI introduction
Prerequisites
Curriculum
8 modules, step by step
From LLM Calls to Agents
Understand what makes a system agentic.
- › Workflows vs agents
- › Anatomy of an agent: model, tools, memory, loop
- › Use cases and anti-patterns
- › Setting up the LLM API
Structured Outputs and Tool Calling
Make models act reliably.
- › JSON schemas and validation
- › Defining tools and parameters
- › Handling tool errors and retries
- › Lab: weather, search and calculator tools
Planning and the Agent Loop
Your certificate
Certified by Assure Success
Your path to certification
- 1
Enrol in a scheduled live batch and complete the API and environment setup
- 2
Attend sessions and complete the lab for each module
- 3
Build and demo the mini-project agent
- 4
Meet the attendance and assessment criteria for your batch
- 5
Receive your Assure Success course-completion certificate
Skills you will gain
Tool calling
Define tools with schemas, let a model choose them and handle results and errors.
Your future
Where this course can take you
Careers after this course
AI Agent Developer₹7–20 LPA (approx.)
Builds tool-using agents and assistants for business tasks.
Generative AI Engineer₹7–20 LPA (approx.)
Implements LLM features including RAG and agent workflows.
Automation Engineer (AI-enabled)₹5–14 LPA (approx.)
Extends traditional automation with LLM decision steps.
Technical Product Manager (AI)₹12–28 LPA (approx.)
Scopes agent products and weighs their risks and costs.