• Admission Date

    Announcing Soon
  • Program Duration

    10 weeks (6-8hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Earn an Elite Certificate

    Earn credentials from Purdue University Online and Simplilearn

    Earn credentials from Purdue University Online and Simplilearn

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    Hands-On Project Learning

    Develop job-ready skills via 7+ projects including Multi-Agent Systems

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    Advanced AI & Tool Mastery

    Learn RAG, Multi-agent systems, prompt engineering, and agent tool protocols

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    Career Support Advantage

    JobAssist offers resume reviews, interviews & profile tips

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

This 10-week, practitioner-level program empowers experienced professionals to master Agentic AI systems, multi-agent orchestration, and strategic product design. It blends technical depth with business strategy, preparing leaders to design and manage autonomous, next-generation AI products.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Build expertise with 7+ hands-on projects including a capstone simulation
  • Access to Purdue’s prestigious alumni network
  • Attend live masterclasses from Purdue faculty and staff, and AI industry experts
  • Deep dive into agentic AI, planning systems, and multi-agent frameworks
  • Use leading Agentic AI tools like n8n, CrewAI, Lovable, Firebase, AutoGPT and more
  • Experience Practitioners-level curriculum blending low-code and code-based learning
  • Industry-relevant curriculum backed by Purdue University Online and Simplilearn
  • Program completion certificate from Purdue University Online and Simplilearn
  • Course completion certificate hosted on the Microsoft Learn portal for Microsoft course

Post Graduate Program Advantage

Accelerate leadership in Agentic AI innovation and product strategy with Purdue University Online. Gain deep technical knowledge in agent orchestration, multi-agent ecosystems, and AI tooling technology with critical insights and expert guidance.

  • University Certificate

    Partnering with Purdue University Online

    • Earn a completion certificate from Purdue University Online and Simplilearn
    • Access to exclusive masterclasses by Purdue faculty and staff
    • Eligibility for Purdue Alumni Association membership
  • Microsoft Azure Certificate

    Partnering with Microsoft

    • Earn Microsoft certification to validate your Agentic AI expertise
    • Course completion certificate hosted on the Microsoft Learn portal

Program Details

This Agentic AI course provides a comprehensive learning path covering AI foundations, generative AI, LLM internals, multi-agent systems, and planning frameworks. Learners develop applied expertise in agent design, protocols, and go-to-market strategy to drive Agentic AI product innovation.

Learning Path

    • Python essentials for AI—syntax, data structures, control flow, OOP/FP, modules, packaging.
    • Set up an AI-ready workflow: VS Code, venv/conda, Jupyter, Git, testing, reproducibility.
    • Apply GitHub Copilot and ChatGPT effectively for completion, refactoring, documentation etc.
    • Grasp AI hierarchy, transformers, and agentic AI principles
    • Learn about classical ML versus deep learning evolution
    • Study the GenAI stack layers: infrastructure, model, orchestration, and application
    • Create a "Why Agentic AI Matters for PMs" pitch documen
    • Explore cloud infrastructure and deployment options including AWS, Azure, GCP
    • Understand foundation models such as GPT-4, Llama 3, SDXL
    • Learn about orchestration frameworks like LangChain, LangGraph, AutoGen, and CrewAI
    • Discover low-code prototyping tools and generative AI UX design principles
    • Master prompt engineering with zero-shot, CoT, and ReAct methods
    • Develop planning agents using LangChain and function calling APIs
    • Build AI-powered tools with API integrations and agent-to-agent communication
    • Complete projects including Study Planner and Sales Trainer agents
    • Dive into advanced RAG and Agentic RAG with AutoGPT and Anthropic architectures
    • Build multi-agent systems using CrewAI framework and YAML configuration
    • Implement communication patterns: serial, parallel, and hierarchical
    • Participate in coding demos of Researcher + Writer agent duo
    • Use Microsoft AutoGen for large-scale orchestration
    • Develop a code debugger agent with retry and logging mechanisms
    • Utilize n8n workflows for automation and integration
    • Integrate with databases and third-party tools like Google Docs, Gmail
    • Build a three-agent marketing pipeline system
    • Learn the Model Context Protocol (MCP) for tool standardization
    • Develop secure tool integrations and persistent memory caches
    • Build contextual AI travel planner and custom API tools
    • Measure AI agent performance using KPIs and LangSmith monitoring
    • Design SaaS and usage-based pricing models
    • Build business strategy canvas and go-to-market plans
    • Instrument projects for AB testing and analytics
    • Design transparent AI UX emphasizing trust and control
    • Implement interaction patterns that handle ambiguity and explainability
    • Prototype AI interfaces using Figma with heuristic evaluations
    • Deploy AI agents on Firebase with event logging and analytics
    • Implement feedback systems and A/B testing for UI flows
    • Manage live operations with n8n automation
    • Learn cloud deployment strategies and infrastructure as code
    • Build a multi-agent system for market research and GTM planning
    • Deploy with n8n and CrewAI orchestration and Google Docs integration
    • Evaluate agent performance with human and automated reviews
Electives:
  • Includes exclusive masterclasses by Purdue faculty and staff, providing additional domain expertise and networking opportunities.

  • 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.

16+ Skills Covered

  • Agentic Frameworks
  • MultiAgent systems
  • Prompt Engineering
  • RAG
  • MCP
  • Agent to Agent Communication A2A
  • Intelligent Automation
  • UIUX Agentic AI
  • Copilots
  • Planning Systems
  • LLM Function Calling
  • Agent Deployment
  • GTM For Agentic AI
  • Workflow Automation
  • Ethics and Transparency
  • Agentic RAG

16+ Tools Covered

JUPYTERGoogle ColabHugging FaceLangchainAutoGenFigmaMCPZapiern8nAutoGPTSERP APIOllamaLovableLangSmithFirebaseCrewAI

Industry Projects

  • Project 1

    Data Analytics Agent

    Build an LLM agent using RAG that analyzes your data with embeddings and provides accurate insights.

  • Project 2

    Analyst Agent Team

    Build a multi-agent analytics team leveraging LangChain, RAG, shared memory using SQL and Python.

  • Project 3

    Researcher and Writer Agent Duo

    Automate product research with multi-agent orchestration using RAG and generate polished reports.

  • Project 4

    Agentic Workflows with N8N

    Practice creating agentic workflows for seamless automation and execution using N8N.

  • Project 5

    Full Stack Agent MVP Deployment

    Utilize Lovable to prototype user interfaces and connect to n8n to automate backend workflows and then deploy.

  • Project 6

    MultiAgent Workflow Planner for a Startup Accelerator

    Use n8n to orchestrate the multi-agent pipeline—routing user input across agents, logging interactions into Firestore, and automating feedback-and-alert flows.

  • Project 7

    MultiAgent Market Research and GTM Planning

    Build a marketing research agent using Crew Ais multi agent framework, integrated with custom MCP server and N8N orchestration.

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

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An Immersive Learning Experience

Learn from Industry Experts

Learn from instructors focused to equip you with hands-on skills and industry first curriculum.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Learn from Industry Experts
Learn from instructors focused to equip you with hands-on skills and industry first curriculum.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Armando Galeana

    Armando Galeana

    Founder and CEO at Ubhuru Technologies

    A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

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Program Trainers

  • Timothy Henize

    Timothy Henize

    18+ years of experience

    AI & Machine Learning Engineer

  • Isaac Whittaker

    Isaac Whittaker

    9+ years of experience

    Sr Applied Research Scientist

  • Bassel Dakhlallah

    Bassel Dakhlallah

    13+ years of experience

    Data Analytics & Engineering Leader

  • Jaime Saldarriaga

    Jaime Saldarriaga

    9+ years of experience

    AI & Machine Learning Engineer

  • Sohail Hosseini

    Sohail Hosseini

    15+ years of experience

    DevOps Engineer

  • Edinson Medina

    Edinson Medina

    7+ years of experience

    Senior Data Scientist

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Services program, offered in partnership with Prentus, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
Access to workshops, networking tools, and community support

Access to workshops, networking tools, and community support

Stay on top of your job hunt with a smart tracker and job board

Stay on top of your job hunt with a smart tracker and job board

Build an ATS-friendly resume using the AI Resume Builder

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Practice anytime with the AI-powered Mock Interview Coach

Industry Trends

Agentic AI marks the next evolution of AI, shifting from task-based models to autonomous agents. These systems reason, plan, and collaborate to enable adaptive, self-improving workflows that transform AI from a passive tool into an active collaborator.

Job Icon$25.86 billion

Global GenAI market size in 2024, showing rapid adoption and investment.

Source: Precedence Research
Job Icon$1.3 trillion

Expected revenue from generative AI technologies over the next eight years.

Source: Bloomberg.com
Job Icon$132.3 billion

Revenue generated by GPU hardware systems for GenAI workloads in 2024.

Source: Berg Insight

Batch Profile

This AI course caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    Facebook
    Apple
    Microsoft
    Netflix
    Amazon
    IBM
    Nvidia
    BCG
    Bosch
    KPMG
    Deloitte
    LinkedIn

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Complete the application by providing the essential details about yourself

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

Begin your learning journey on the designated cohort start date

Eligibility Criteria

For admission to this Agentic AI course , candidates should have:

Be at least 18 years old and have a high school diploma or equivalent
Fundamental understanding of programing concepts
Preferably have 4+ years of professional experience, but not mandatory

Admission Fee & Financing

The admission fee for this program is $2,699

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$2,699

Pay In Installments, as low as

$270/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

Apply Now

Program Benefits

  • Industry-recognized Purdue University Online credentials
  • Expert-led live masterclasses and hands-on learning
  • Practical projects simulating real-world applications
  • Career support through Simplilearn JobAssist
  • Access to Purdue's Alumni Association Membership

Program Cohorts

There are no cohorts available in your region currently

Got Questions Regarding Cohort Dates?
  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.