• Application closes on

    6 Feb, 2026
  • Program Duration

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

    Live, Online, Interactive

Why Join this Program

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    Microsoft Advantage

    Earn a completion certificate from Microsoft and Simplilearn.

    Earn a completion certificate from Microsoft and Simplilearn.

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    Full-Stack GenAI Skills

    Master LLMs, RAG, agentic AI, prompt engineering, image generation, and responsible AI.

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    Hands-On Projects

    Work on 7+ industry projects and a capstone to build real-world, portfolio-ready GenAI solutions.

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    Learn Popular GenAI Tools

    Gain exposure to Copilot, Langchain, Hugging Face, Azure AI Studio, OpenAI, and other tools.

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

Gain practical skills in applying generative AI, cover essential concepts such as GANs, VAEs, and prompt engineering alongside advanced topics like LLM app development, RAG, Agentic AI, MCP, and fine-tuning. This program builds a well-rounded understanding, preparing you to deploy generative AI capabilities in real-world applications.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Program completion certificate from Microsoft and Simplilearn.
  • Master GenAI and Agentic AI app development with 60+ exercises and 7+ industry-focused projects.
  • Explore advancements in GenAI via live online masterclasses delivered by Microsoft experts.
  • Gain hands-on experience with tools like LangChain, Copilot, Azure AI Studio, RAG, ChatGPT, OpenAI, Dall-E 2, Hugging Face, and more
  • Microsoft Learn Badge: Unlock verified achievements on Microsoft Learn Portal
  • Gain in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
  • 50+ Hours of Live Classes and 16+ Hours of Self Learning
  • RAG & LLM Application Building: Master LangChain, indexing, evaluation, & agents
  • Explore LLMs, agentic frameworks, MCP, multimodal Al & more

Post Graduate 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.

  • Program Ceritificate

    Collaborating with Microsoft:

    • Certificate of Completion from Microsoft and Simplilearn
    • Live masterclass led by Microsoft experts
    • Develop AI Agents on Azure
  • Microsoft Azure Certificate

    Exclusive Microsoft AI & Cloud Advantage

    • Training on Azure AI, Copilot Studio, and cloud-based AI workflows
    • Microsoft Learn badge and portal recognition
    • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)

Program Details

Master the essentials of Generative AI—from fundamentals to advanced LLM applications, Agentic AI, and MCP. Build real-world AI solutions with Microsoft Azure, Copilot, and a comprehensive capstone to sharpen your industry-ready skills.

Learning Path

  • Kickstart your journey with our Applied Generative Specialization Program, covering all essential concepts in the generative AI domain. This unique Generative AI course is designed to elevate your career, providing comprehensive knowledge and skills to excel in the field.

    • Foundations of Machine Learning and Generative AI.
    • Generative AI Algorithms: Neural Networks, GANs, and Transformers.
    • Large Language Models (LLMs) and Their Applications in Chatbots.
    • Image Generation Techniques: GANs, Diffusion Models, and VAEs.
    • Hands-On Practice with AI Tools: Chat GPT, Stable Diffusion, and more.
    • Explore Video Generation using Generative AI.
    • Prompt Engineering for Chatbots and AI-Driven Image Generation.
    • Introduction to Generative Models
    • Large Language Models Architecture
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs)
    • Attention Mechanisms and Transformers
    • Langchain and Workflow Design
    • Advanced Prompt Engineering Techniques
    • LLM Application Development
    • LangChain for LLM Development
    • RAG with LangChain
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
    • Introduction to Agentic AI and Core Attributes
    • LLM Agent Design: Perception, Cognitive Engine, and Action Modules
    • LangGraph: Node Structure, Routing Logic, and Orchestration Strategies
    • AutoGen: Multi-Agent Workflows, Custom Configurations, and Team Collaboration
    • CrewAI: Agent Groups, Tool Usage, Task Structuring, and Process Design
    • MCP Protocol: Unified Integration, Communication Standards, and SDK Frameworks
    • Stable Diffusion
    • Denoising
    • Autoencoders in Generative AI
    • Contrastive Learning Techniques
    • Shared Embedding Spaces
    • Importance of Governance in AI
    • Governance Challenges in Generative AI
    • Ethical Principles in AI
    • Governance Structures and Committees
    • Risk Management in AI Projects
    • Integrating Governance into the AI Project Lifecycle
    • Evolving Regulatory Landscape
    • Future Trends in AI Governance
    • Understand how large language models form the foundation of generative AI
    • Describe how Azure OpenAI Service provides access to the latest generative AI technology
    • Understand how generative AI applications, such as copilots, support efficiencies
    • Describe how prompts and responses can be fine-tuned
    • Describe how Microsoft's responsible AI principles drive ethical AI advancements
    • Create copilots and work with the Microsoft Copilot Studio interface
    • Publish bots and analyze performance
    • What is Azure AI Studio?
    • Build a Retrieval Augmented Generation (RAG)-based copilot solution
    • Understand how to ground your language model
    • Build a copilot with prompt flow
  • At the end of this Applied Generative AI Program, bring your newly acquired skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

  • Attend masterclasses by Microsoft Industry Experts and get insights about advancements in technology/techniques in Generative AI.

Electives:

16+ Skills Covered

  • LangChain
  • Prompt Engineering
  • AI Literacy
  • Generative AI Fundamentals
  • Large Language Model LLM Architecture
  • Agentic AI and Autonomous AI Agents
  • Retrieval Augmented Generation RAG
  • LLM Fine Tuning and Customization
  • Stable Diffusion
  • Explainable AI
  • Variational Autoencoders VAEs
  • Transformers and Attention Mechanism
  • GenAI Application Development
  • Model Context Protocol MCP
  • LLM Benchmarking and Evaluation
  • Generative AI Governance and Ethics

13+ Tools Covered

pythonChatGPTOpen AIHugging FaceGeminiMicrosoft CopilotAzure AI StudioDalle.2LangchainGradioStreamlitStability AIJUPYTER

Industry Projects

  • Project 1

    Personal Expense Tracker

    Develop a personal expense tracker with categorized expenses, monthly budgets, and file handling for data storage. A menu-driven interface enhances usability.

  • Project 2

    Task Manager with User Authentication

    Build a task manager with user authentication, including login and registration. Users can add, view, complete, and delete tasks with persistent storage via file handling.

  • Project 3

    Al Powered HR Assistant

    Create an Al-powered HR assistant using OpenAl's GPT and Gradio UI to extract answers from Nestlé's HR policy documents, streamlining HR information retrieval.

  • Project 4

    Al Driven Design Studio for Marketing Campaigns

    Develop a text-to-image generation platform for creating marketing visualslike banners and posters using OpenAl's DALL·E and Gradio UI.

  • Project 5

    Al Powered Business Intelligence Assistant

    Build Insight and Forge, an Al BI assistant using RAG and LLMs to analyze business data, spot trends, and generate insights with interactive visualizations for usability.

  • Project 6

    Develop an Image Generation App with LangChain

    Create an application that uses LangChain to connect OpenAI API to DALL-E. This image generation application turns written descriptions into lifelike pictures and artwork.

  • Project 7

    Finetune Falcon7 Personalized LLM Instance

    Embark on building a personalized language model with Falcon-7b. Utilize personalized LLM technique to explore text generation capabilities by providing task examples as inputs.

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.

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.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors

  • Max Goff

    Max Goff

    GenAI Consultant

    Max is a seasoned data scientist and big data engineer with 30+  years of experience in ML, big data, and computer programming. Known for his expertise in GenAI, NLP, and process improvement, Max has consistently driven innovation and growth across organizations.

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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

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
    Microsoft
    LinkedIn
    OpenAI
    Deloitte
    KPMG
    Bosch
    BCG
    Nvidia
    Netflix

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

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

Selected candidates can begin the program as per the cohort date

Eligibility Criteria

For admission to this Applied Generative AI Specialization program, candidates should:

Be at least 18 years old and have a high school diploma or equivalent
Have basic understanding of programming concepts and mathematics
Preferably have 2+ years of professional experience, but not mandatory

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

Pay In Installments, as low as

$300/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

  • Most Advanced GenAI Tech Stack: RAG + Agentic AI + MCP
  • Masterclass by industry experts and thought leaders
  • 50+ Hours of Live Classes, 16+ Hours of Self Learning
  • Build Real World GenAI and Agentic AI Applications
  • Exposure to ChatGPT, OpenAI, DALL-E 2, Hugging Face & others

Program Cohorts

Next Cohort

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.