Applied Generative AI and Agentic Specialization

Master the Full AI Stack, From LLMs to Autonomous Agents

  • Move from GenAI applications to autonomous AI agents
  • Build multi-agent workflow for real-world enterprise use cases
  • Practice with 30+ AI tools, hands-on demos, and a capstone project
  • Take AI solutions from prototype to production with confidence
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Application closes on

4 Aug, 2026

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Program Duration

12 weeks(8-10hrs / Week)

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Learning Format

Live, Online, Interactive

Why Join this Program

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Microsoft Advantage

Earn a completion certificate from Microsoft and Simplilearn.

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Robust AI Curriculum

Learn to use Generative AI and Agentic AI to design and deploy production-ready AI systems

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Real-World Projects

Work on 12+ industry projects and a capstone to build real-world, portfolio-ready solutions

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Readiness For The AI-901 Exam

Gain exposure to tools and frameworks such as GitHub Copilot, OpenAI, n8n, LangGraph, FAISS, and Azu

Corporate Training

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Program Overview

These days, staying competitive in AI takes practical ability, not theory alone. This program builds the hands-on skills needed to architect, deploy, and govern intelligent systems from start to finish. You reinforce every concept through applied labs, portfolio projects, and demos built to turn AI knowledge into solutions for real business problems.

Key Features

  • Master deployment, scaling, and monitoring to run AI reliably at scale
  • Connect intelligent systems to the tools your business already runs, from internal apps to live data sources
  • Put responsible AI and governance into practice across the AI lifecycle
  • Build with GenAI, LLMs, RAG, and multimodal AI to create enterprise-ready applications
  • Microsoft Learn Badge: Unlock verified achievements on Microsoft Learn Portal
  • Stay ahead of emerging AI trends through Simplilearn's AI Impact Studio
  • Design autonomous agents with planning, memory, and reasoning built in
  • Orchestrate multi-agent workflows that automate complex processes end to end
Applied AI Program Advantage

Gain practical expertise with Azure OpenAI, Copilot Studio, and advanced agentic frameworks. Learn RAG, LLM design, prompt engineering, and multimodal GenAI while earning a joint completion certificate and a Microsoft Learn badge.
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Collaborating with Microsoft:

  • Certificate of Completion from Microsoft and Simplilearn
  • Live masterclass led by Microsoft experts

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Exclusive Microsoft AI & Cloud Advantage

  • Training on Azure AI, Copilot Studio, and cloud-based AI workflows
  • Microsoft Learn badge and portal recognition

Program Details

Upskill in GenAI and Agentic AI through hands-on learning across LLMs, RAG, multi-agent systems, and AI deployment. You work with tools like OpenAI, LangChain, AutoGen, and Azure AI while building applications for real business use cases.

Learning Path

Getting Started on Your GenAI and Agentic AI Journey
  • Walk through the program roadmap, learning objectives, projects, and outcomes
  • See how GenAI and Agentic AI are reshaping business workflows
Python Programming for Generative and Agentic Workflows
  • Master Python fundamentals, syntax, variables, and core concepts
  • Set up development environments and work with essential coding tools
  • Build the base for AI, automation, and data-driven application development
Foundations of Generative and Agentic AI
  • Get familiar with core AI concepts, architectures, and intelligent systems
  • Tell apart AI, Machine Learning, Deep Learning, and GenAI
  • Discover transformers, Large Language Models, and AI agents
Build Intelligent AI Applications with RAG and Multimodal AI
  • Learn prompt engineering and Retrieval-Augmented Generation concepts
  • Dive into LangChain, multimodal AI, image generation, and fine-tuning
  • Create working AI applications that connect LLMs with enterprise data
Connect AI Systems with MCP and AI Frameworks
  • Understand MCP fundamentals, context management, and tool integration
  • Study system prompt design, context persistence, and secure tool usage
  • Build and manage context-aware agents through practical exercises
Engineer Autonomous AI Agents and Multi-Agent Workflow
  • Design intelligent agents using agentic RAG and memory strategies
  • Explore multi-agent collaboration and orchestration techniques
  • Build chatbots, coordinated agents, and workflow automation solutions
Build, Deploy & Monitor Production-Ready LLM Applications
  • Learn to deploy, monitor, and manage LLM applications with confidence
  • Cover model evaluation, operational best practices, and responsible AI
  • Understand how to run scalable, reliable AI systems in production
Azure AI Fundamentals - Generative AI (Microsoft)
  • Learn to deploy, monitor, and manage LLM applications with confidence
  • Cover model evaluation, operational best practices, and responsible AI
  • Understand how to run scalable, reliable AI systems in production
Develop AI agents on Azure (Microsoft)

This course provides a comprehensive understanding of building AI agents using Azure AI Foundry Agent Service and the Microsoft Agent Framework. By the end of this course, you will be equipped with the expertise to design and deploy AI agents effectively on Azure.

Shipping Production-Ready AI Products Responsibly
  • Work through deployment strategies, model hosting, and production environments
  • Learn observability, monitoring, governance, and feedback systems
  • Build and manage full-stack AI applications at scale
Portfolio Project in GenAI and Agentic AI
  • Build an industry-aligned capstone with GenAI, Agentic AI, LLMs, and RAG for a real-world use case
  • Create a portfolio-ready AI solution that showcases your end-to-end AI development skills
AI Impact Studio
  • Explore the latest advancements in Generative AI, Agentic AI & intelligent automation
  • Learn hands-on through live expert-led AI workshops on Claude Code, OpenClaw & more
  • Learn through expert-led technical and business workshops with real-world use cases
  • Build practical AI capabilities to drive productivity, innovation, and business impact
Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen
  • Learn directly from Industry experts through live sessions
  • Explore low-code tools like Copilot Studio to accelerate development
  • Leverage open-source frameworks such as AutoGen
  • Discover how to rapidly deploy agentic AI solutions in real-world business environments.
Program Syllabus

16+ Skills Covered

Generative AI
Prompt Engineering
Multi Agent System Design
AI Workflow Automation
Enterprise AI Integrations
AI Governance
LLM Application and Development
Multimodal AI
LLM Operations
AI Orchestration
Production Ready AI Deployment
Retrieval Augmented Generation
Agentic AI and Autonomous AI
LLM Deployment
Model Context Protocol
AI Product Development

25+ Tools Covered

Industry Projects

Project 1

Building an Agentic RAG Pipeline for Financial Report Analysis

Develop a Financial Auditor Agent on an agentic RAG pipeline that ingests financial statements and reviews them for consistency, completeness, and audit readiness with citations.

Project 2

Policy Pilot a Smart Insurance Assistant

Build an insurance assistant that reads a claim form, invoice, or underwriting document with the user question, extracts key facts, and recommends the next action for policy staff.

Project 3

Calorie tracker app with health insights

Build an AI-powered calorie tracker that logs meals, estimates nutrition from user input, and turns daily intake into personalized health insights, goals, habit recommendations.

Project 4

Creating Designs by Leveraging OpenAI and Gradio UI

Build a text-to-image design platform pairing OpenAI DALL-E with a Gradio UI, turning marketing prompts into ready-to-use banners and posters for high-profile brand campaigns.

Project 5

BankOps AI MultiAgent Banking Operations System

Build a multi-agent system for banking that triages loan, KYC, card, and dispute requests, checks policy manuals and product rules, then routes sensitive cases to the right team.

Project 6

AI Powered LinkedIn Content Automation with n8n

Automate fintech LinkedIn content by pairing an AutoGen-style microservice with n8n, chaining ideation, drafting, and hashtag agents behind approval guardrails before posting.

Project 7

MultiAgent Workflow Planner for a Startup Accelerator

Design a multi-agent planner where a Research Agent, Funding Advisor, and Pitch Coach collaborate through coordinated planning, memory, and feedback to draft pitch deck outlines.

Project 8

Agentic Router Retriever System with PDF and Web Search Tools

Build an agentic RAG system where a Router Agent classifies each query and a Retriever Agent picks PDF vector search or web search to return accurate, source-grounded answers.

Project 9

Develop an AI Agent for Stock Market Intelligence StockGenie

Build an AI financial assistant that monitors the latest market news, analyzes stock trends, and delivers a daily spotlight of stocks with evidence-backed investment insights.

Disclaimer – The projects have been built leveraging real publicly available datasets from organizations.