What is covered under the 24/7 Support promise?

Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you throughout the program. You will gain lifelong access to our community forum once you finish the program.

Are the tools, technologies, libraries, and frameworks shown on the website subject to change?

The tools, technologies, libraries, and frameworks shown on the website are subject to change as the field evolves and the program is updated to reflect changing industry practices.

Can I get a refund if I need to cancel my enrollment?

Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy

Can I change my cohort after enrolling in the program?

Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

Can I get an extension if I need more time to complete the program?

Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days or 3 months by paying.

Do I need a technical background to succeed in this program?

A basic understanding of programming concepts and mathematics is all you need to start. If coding is new to you, an optional Python module walks you through the fundamentals before the advanced material begins, so you build on solid footing. Prior work experience helps, but it isn't mandatory.

Do I need a paid Claude subscription for this AI Impact Studio?

Yes. This workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription. The basic Claude Pro plan ($20/month) is sufficient for all workshop activities.

How do learner reviews help me?

Learner reviews give you a broader view of the learning experience of GenAI programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.

Professional Certificate in Applied Generative AI & Agentic AI

In Collaboration With:

4.5 Rated

200+ Learners

Application closes on
17 Sep, 2026
Program Duration
12 weeks (6-8 hrs / week)
Learning Format
Live, Online, Interactive

Why Join this Program

Duke-Reviewed Curriculum
Gain in-demand GenAI and agentic AI skills, taught by Simplilearn SMEs and reviewed by Duke faculty.

Gain in-demand GenAI and agentic AI skills, taught by Simplilearn SMEs and reviewed by Duke faculty.
Live Faculty Masterclasses
Attend live Duke faculty masterclasses and receive mentorship from experienced AI professionals.
Learn from AI Builders
Learn through recorded lectures by experts from Amazon, IBM, Intel, and top global organizations.
Career Assistance
Prepare for opportunities with interview coaching, resume support, and employer-network access

Corporate Training

Enroll your employees into this program, NOW!

Talk to Our Advisor

Program Overview

The real opportunity in AI lies in building systems that businesses can trust. This program equips you to build, deploy, scale, and secure generative and agentic AI solutions through practical labs, projects, and an industry-aligned portfolio. Complete the program ready to solve real business problems by building AI in practice, not simply using it.

Key Features

Create GenAI applications powered by your own data using LLMs, RAG, and multimodal AI
Engineer AI agents that can plan, reason, and act independently through Agent Harness Engineering
Orchestrate teams of AI agents that collaborate to automate complex tasks through Loop Engineering
Connect AI to business tools and live data using open standards such as MCP and A2A
Design scalable AI systems that support enterprise applications and evolving business needs
Deploy fast, reliable, and cost-efficient AI solutions with built-in monitoring and optimization
Develop trusted AI systems with security, guardrails, and responsible AI practices built in from the start
Stay ahead of emerging AI trends through Simplilearn's AI Impact Studio
Simplilearn Career Service helps you get noticed by top hiring companies

Professional Certificate Advantage

Build job-ready GenAI and agentic AI engineering skills through a Duke-vetted curriculum with interactive classes, faculty masterclasses, hands-on projects, a capstone, and AI-powered career support.

Program Certificate
In collaboration with Duke University
- Earn a Program certificate from Duke University & Simplilearn
- Upskill with a comprehensive curriculum reviewed by Duke University
Microsoft Certificate
In collaboration with Microsoft
- Unlock official badges on the Microsoft Learn portal
- Get official Microsoft certificates for specific courses included in the learning path

Program Details

Develop GenAI and agentic AI expertise through hands-on learning across LLMs, RAG, agent harnesses, multi-agent swarms, and secure AI deployment. Apply tools such as Anthropic Claude, LangChain, LangGraph, CrewAI, and Azure AI to create solutions for real business use cases.

Learning Path

Program Onboarding
- Get familiar with the program structure, learning journey, key resources, and support available throughout the program.
- Understand how to access the learning platform, attend sessions, complete program requirements, and make the most of your learning experience.
Python Foundations for AI
- Learn core Python, data structures, functions, OOP, file handling, and error handling.
- Use AI-assisted coding tools to write, review, debug, and optimize code.
- Build AI-ready APIs with Pandas, NumPy, FastAPI, async Python, testing, and configuration.
Understand How GenAI & Agents Work
- Understand the foundations of AI, ML, deep learning, GenAI, LLMs, and Agentic AI.
- Discover how transformers, LLMs, reasoning, tools, memory, and agents work.
- Apply the GenAI stack with LangChain, LangGraph, and Microsoft Agent Framework.
Master LLMs Capabilities, Architecture & Evaluation
- Explore LLM reasoning, multimodal AI, long-context processing, tool use, and agents.
- Compare frontier, open-source, and open-weight models across key architectures.
- Develop a chatbot and evaluate LLMs across text, code, math, audio, and video.
Build Multimodal GenAI Applications
- Build LLM and VLM applications across text, image, audio, and video.
- Use prompting, function calling, MCP tools, RAG, and RAGAS evaluation.
- Create and deploy an image ad generator with Gradio and Hugging Face Spaces.
Design AI Systems That Scale
- Architect scalable AI systems using APIs, gateways, microservices, retrieval, and data layers.
- Optimize performance across latency, throughput, cost, hardware, caching, and reliability.
- Deploy production-ready AI applications using Azure, AWS, observability, and scaling practices.
Ship GenAI Systems to Production
- Develop production RAG systems with retrieval, reranking, evaluation, monitoring, and guardrails.
- Connect tools, context, memory, schemas, permissions, and governance through MCP.
- Improve GenAI systems across latency, cost, reliability, rollback, and A2A communication.
Orchestrate Multi-Agent Systems
- Develop agentic RAG systems using LangChain, LangGraph, and vector databases.
- Design multi-agent workflows with serial, parallel, hierarchical, and handoff patterns.
- Coordinate a researcher-writer agent duo using CrewAI, LangGraph, and FastAPI.
Engineer AI Agents with Harness Engineering
- Create agent harnesses with prompts, context, memory, tools, policies, and skills.
- Implement guardrails, approvals, logging, evaluations, security, and audit trails.
- Build self-improving agents that learn from failures, feedback, and repeated workflows.
Scale Agents with Loop Engineering & Agent Swarms
- Design agent loops that enable AI systems to plan, act, observe, and refine.
- Develop swarm patterns with supervisors, routers, handoffs, memory, and shared state.
- Prepare agent swarms for production with tracing, permissions, budgets, evaluations, and approvals.
Secure & Deploy Enterprise AI Agents
- Create enterprise-ready AI agents with tools, memory, identity, access, and approval controls.
- Protect agents from prompt injection, data leakage, tool misuse, and unsafe autonomy.
- Deploy secure agents with guardrails, tracing, evaluation, monitoring, and production reviews.
Capstone: Build a Production-Ready AI System
- Develop an end-to-end AI system using skills acquired throughout the program.
- Apply architecture, agents, tools, memory, security, and deployment practices.
- Create a portfolio-ready project for interviews, reviews, and career discussions.
Masterclass Series by Duke Faculty
- Gain insights from Duke University Fuqua faculty through a live academic masterclass on advanced GenAI and agentic AI topics.
- Examine emerging AI trends and their implications for business, leadership, and decision-making.

Electives:

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
Develop Generative AI Apps in Azure (Microsoft)
- Create generative AI applications using Azure AI tools and Microsoft Foundry.
- Build applications with the Foundry SDK and design prompt flows.
- Apply responsible AI principles and evaluate performance in Azure AI Studio.
Develop AI Agents on Azure (Microsoft)
- Azure infrastructure for AI agent development
- Azure frameworks and orchestration workflows
- Hosting AI agents in the Azure ecosystem
- Scalable orchestration within cloud environments

Programme Syllabus

18+ Skills Covered

Generative AI Foundations
Python for AI Development
LLM Application Development
Prompt Engineering
Context Engineering
RAG Pipelines
Vector Databases
Multimodal AI Applications
MultiAgent Orchestration
Agentic AI Foundations
Harness Engineering
AI System Design
MCP and A2A Integration
Loop Engineering
Agent Swarms
Function Calling
Cloud AI Deployment
AI Security and Guardrails

30+ Tools Covered

Portfolio Projects

Project 1
Agent Sphere Enterprise Agentic AI Platform
Build an enterprise platform to create, orchestrate, govern, monitor, and deploy AI agents with memory, MCP tools, guardrails, approvals, and observability.
Project 2
Harness and Deploy a Production Ready Support Agent
Secure a support agent with prompt-injection protection, input and output filtering, evaluations, containerization, and a safe deployment pipeline.
Project 3
Develop an AI Contract Clause Finder With RAG and MCP
Create a contract assistant that finds, compares, explains, and assesses clauses using LLMs, RAG, tool calling, MCP, guardrails, citations, and audit logs.
Project 4
Create a Multi Agent Support and Email Drafting Assistant
Research internal policies, find grounded answers, draft customer emails, and improve consistency across support workflows using multiple AI agents.
Project 5
Design an AI Employee Onboarding Assistant With Harnesses
Create an onboarding assistant that answers HR, benefits, IT, and policy questions using RAG, secure tools, memory, guardrails, access control, and logs.
Project 6
Create an AI Product Discovery Assistant Using Agentic AI
Turn business problems into product strategies using agents for discovery, personas, feasibility, prioritization, roadmaps, and recommendations.
Project 7
Deploy a Secure OpenClaw Assistant With Telegram Automation
Deploy an OpenClaw assistant that checks messages, sends Telegram replies, and runs daily summaries with behavior settings, guardrails, and automation.
Project 8
Create an AI Portfolio With a RAG Recruiter Chatbot
Build a portfolio site with a RAG chatbot that answers recruiter questions from your own content, with guardrails, OpenClaw integration, refresh, and deployment.

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

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An Immersive Learning Experience

Peer-to-Peer Engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexible Learning

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.

Peer-to-Peer Engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexible Learning

Mentoring session(s)

Learning Support

Program Advisors and Trainers

Program Advisors

Yehua Wei
Duke University Professor | Fuqua School of Business | Masterclass Faculty
Yehua Wei is a Professor of Business Administration at Duke Fuqua, teaching analytics, AI, ML, statistics, and optimization. His research focuses on decisions under uncertainty, with award-winning work in resource allocation, routing, queueing networks, and e-commerce fulfillment.
David Pazmino
Generative AI & NLP Specialist | ML Engineer | AI Systems Architect
David Pazmino is an AI expert with experience across Barclays, JPMorgan Chase, Genpact, Invesco, and Goldman Sachs. As a course advisor, he brings deep expertise in applied AI and scalable ML systems, backed by advanced degrees from Duke Fuqua and Northwestern University.

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Program Trainers

Omesh Tickoo
21+ years of experience
Senior Principal AI Engineer
Nikunj Nirmal
20+ years of experience
Head of Engineering
Thomas Plunkett
25+ years of experience
Senior Principal AI Engineer
Kaoutar El Maghraoui
18+ years of experience
Principal Research 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 the U.S. markets.

Access to workshops, networking tools, and community support

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

Build an ATS-friendly resume using the AI Resume Builder

Practice anytime with the AI-powered Mock Interview Coach

Industry Trends

Generative AI and agentic AI are moving from experiments to everyday business operations. As companies race to build and deploy autonomous systems, demand is climbing rapidly for professionals who can design, ship, and scale them.

63%

of employers say the skills gap is their biggest barrier to adopting AI

Source: World Economic Forum

86%

of employers expect AI to transform their business by 2030

Source: World Economic Forum

39%

of workers' core skills will change by 2030 as AI reshapes work

Source: World Economic Forum

Firms Hiring AI experts

Batch Profile

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

Industry
The class consists of learners from excellent organizations and diverse industries
Sector
Information Technology - 43%Software Product - 13%Manufacturing - 20%BFSI - 14%Others - 10%
Companies

Learner Reviews

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

Tell us a bit about yourself and why you want to do this program

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this Generative AI & Agentic AI Specialization, candidates should:

A basic understanding of programming and math is required

Strong interest in GenAI and Agentic AI is recommended

Have 2+ years of professional experience (preferred, not required)

Admission Fee & Financing

The admission fee for this program is $2,995

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

$2,995

10% off

$3,329

Pay In Installments, as low as

$300/month

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Admission Closes on :

Apply now

Apply Now

Program Benefits

Learn with a Duke-reviewed curriculum and masterclasses
Create GenAI apps with LLMs, RAG and multimodal AI
Design autonomous multi-agent workflows
Deploy and secure AI systems at production scale
Use AI-powered support to advance your career

Program Cohorts

Next Cohort

PGP Applied Generative AI & Agentic AI Oct 2026 cohort
- Date
  Time
  Batch Type
- Program Induction
  17 Sep, 2026
  10:00 CDT
- Regular Classes
  10 Oct, 2026 - 21 Feb, 2027
  09:00 - 11:00 CDT
  WeekendSaSu
- Apply Now

Got Questions Regarding Cohort Dates?

FAQs

What is covered under the 24/7 Support promise?
Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you throughout the program. You will gain lifelong access to our community forum once you finish the program.
Are the tools, technologies, libraries, and frameworks shown on the website subject to change?
The tools, technologies, libraries, and frameworks shown on the website are subject to change as the field evolves and the program is updated to reflect changing industry practices.
Can I get a refund if I need to cancel my enrollment?
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy
Can I change my cohort after enrolling in the program?
Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.
Can I get an extension if I need more time to complete the program?
Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days or 3 months by paying.
Do I need a technical background to succeed in this program?
A basic understanding of programming concepts and mathematics is all you need to start. If coding is new to you, an optional Python module walks you through the fundamentals before the advanced material begins, so you build on solid footing. Prior work experience helps, but it isn't mandatory.
Do I need a paid Claude subscription for this AI Impact Studio?
Yes. This workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription. The basic Claude Pro plan ($20/month) is sufficient for all workshop activities.
How do learner reviews help me?
Learner reviews give you a broader view of the learning experience of GenAI programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.