• Program Duration

    16 weeks

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Microsoft Advantage

    Learn from the best, and gain a coveted certification from Microsoft and Simplilearn
     

    Learn from the best, and gain a coveted certification from Microsoft and Simplilearn
     

  • icons
    Learn Popular GenAI Tools

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

  • icons
    Robust GenAI Curriculum

    Become a skilled Generative AI practitioner in prompt engineering, transformers

  • icons
    Hands-on Learning Experience

    Learn to build generative AI-enabled applications through seven industry-relevant hands-on project

  • icons
    Microsoft Advantage

    Learn from the best, and gain a coveted certification from Microsoft and Simplilearn
     

  • icons
    Learn Popular GenAI Tools

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

  • icons
    Robust GenAI Curriculum

    Become a skilled Generative AI practitioner in prompt engineering, transformers

  • icons
    Hands-on Learning Experience

    Learn to build generative AI-enabled applications through seven industry-relevant hands-on project

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

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

Key Features

  • Program completion certificate from Microsoft and Simplilearn.
  • Engage in 70+ hours of core curriculum through live online sessions with industry experts.
  • Master GenAI application development with 60+ exercises and seven industry-focused projects.
  • Explore advancements in GenAI via live online masterclasses delivered by Microsoft experts.
  • Gain hands-on experience with Copilot, Azure AI Studio, ChatGPT, OpenAI, Dall-E 2, Hugging Face, and more key tools.
  • Delve into prompt engineering, attention mechanisms, transformers, LLM app development, Retrieval-Augmented Generation (RAG), and fine-tuning for LLMs.
  • Earn a course completion certificate hosted on the Microsoft Learn portal.
  • Create an end-to-end RAG-based application with hands-on project experience.

Post Graduate Program Advantage

Stand out from the competition with hands-on expertise in Generative AI, mastering essential skills like prompt engineering
 

  • Program Ceritificate

    Collaborating with Microsoft:

    • Program completion certificate from Microsoft and Simplilearn
    • Earn a completion certificate and official Microsoft transcript on the Learn Portal
    • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)
  • Microsoft Certificate

    Exclusive Microsoft AI & Cloud Advantage

    • Training on Azure, Copilot, and cloud-based AI tools

Program Details

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

Learning Path

  • MS-AGS: Python Refresher with AI (Optional)
    • Procedural and OOP understanding
    • Python and IDE installation
    • Jupyter Notebook usage mastery
    • Implementing identifiers, indentations, comments
    • Python data types, operators, string identification
    • Types of Python loops comprehension
    • Variable scope in functions exploration
    • OOP explanation and characteristics
  • MS-AGS: Program Induction

    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.

  • MS-AGS: AI Literacy
    • 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.
  • MS-AGS: Advanced Generative AI - Models and Architecture
    • Introduction to Generative Models
    • Large Language Models Architecture
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs)
    • Attention Mechanisms and Transformers
  • MS-AGS: Advanced Generative AI - Building LLM Applications
    • 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
  • MS-AGS: Agentic AI Frameworks with Model Context and Tooling Protocols
    • 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
  • MS-AGS: Advanced Generative AI - Image Generation Capabilities
    • Stable Diffusion
    • Denoising
    • Autoencoders in Generative AI
    • Contrastive Learning Techniques
    • Shared Embedding Spaces
  • MS-AGS: Generative AI Governance
    • 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
  • MS AGS: Microsoft Azure AI Fundamentals - Generative AI
    • 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
  • MS AGS: Microsoft Copilot Foundations
    • 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
  • MS-AGS Capstone Project

    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.

  • MS-AGS: Industry Masterclass

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

Contact Us

1-844-532-7688

(Toll Free)

15+ Skills Covered

  • Python Programming
  • Explainable AI
  • Prompt Engineering
  • Variational Autoencoders VAEs
  • Generative Adversarial Networks GANs
  • Transformers
  • LLM Architecture
  • RetrievalAugmented Generation RAG
  • Attention Mechanism
  • LangChain for Workflow Design
  • GenAI Application Development
  • LLM FineTuning
  • LLM Benchmarking
  • Stable Diffusion
  • Generative AI Governance

9+ Tools Covered

Azure AI StudioChatGPTpythonLangchainHugging FaceOpen AIStreamlitChromaDalle.2

Industry Projects

  • Project 1

    Building an AIDriven Business Analysis Tool

    Create an AI-powered tool designed to analyze business data, derive insights, and make actionable recommendations by RAG

  • Project 2

    Developing an AIPowered HR Assistant

    Design a virtual assistant tailored to answer questions about Nestle's HR policies. Employ Python libraries and OpenAI’s GPT model to deliver precise and efficient responses.

  • Project 3

    Constructing an Innovative Logo Designer

    Use OpenAI’s DALL-E and Gradio UI to develop a unique logo creator. This app generates stunning, custom logos from text prompts, revolutionizing the design experience.

  • Project 4

    DocumentBased Conversational Chatbot

    Build a chatbot capable of engaging users in interactive dialogues, answering questions, providing suggestions, and assisting tasks based on input documents.

  • Project 5

    FineTuning Falcon7brsquos Custom LLM

    Create a personalized language model with Falcon-7b, exploring text generation capabilities using specific task-based input examples.

  • Project 6

    Image Generation App Using LangChain

    Develop an app that connects OpenAI’s API to DALL-E through LangChain. This image-generation tool transforms written prompts into vivid, realistic images and artwork.

  • Project 7

    Creating a Shopping App in Python

    Build a backend-only shopping app in Python featuring login, category management, cart functionality, and payment options without UX/UI or database requirements.

  • Project 8

    Developing an Online Car Rental Platform

    Develop an online car rental platform where users can view and rent cars on an hourly, daily, or weekly basis. Use Python's object-oriented programming to create this system.

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

prevNext

Industry Trends

Generative AI, at the forefront of technological innovation, is witnessing exciting trends that shape its trajectory in diverse domains. The evolution of language models, like GPT-4, showcases advancements in natural language generation.

Job Icon$667.9 bn

Expected Generative AI Market Size by 2030

Source: Fortune Business
Job Icon24.4%

The global Generative AI market's projected CAGR from 2023-2030

Source: Statista
Job Icon$4.4tn

Expected value added by Generative AI to the global economy annually

Source: Mckinsey

Batch Profile

Our diverse cohorts foster engaging and interactive classroom experiences.

  • Industry
    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
    Meta
    Apple
    Netflix
    Nvidia
    Accenture
    Deloitte
    PWC
    EY
    Dell
    Citigroup
    Wells Fargo

Admission Details

Application Process

The application process consists of threee simple steps. Upon selection, candidates will receive an offer of admission, which they can secure by remitting the admission fee.

STEP 1

Submit Application

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can join the program by paying the admission fee.

Eligibility Criteria

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

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

Apply Now

Program Benefits

  • Live masterclass by Microsoft experts
  • Access to the Microsoft Learn platform for certification
  • Build Gen AI-enabled applications through hands-on projects
  • Dedicated support for AI career growth
  • Exposure to ChatGPT, OpenAI, DALL-E 2, Hugging Face & others

FAQs

  • Does the program offer placement assistance or career support?

    Yes. The program includes career support through Simplilearn’s Job Assist Plus services. These services may include resume-building guidance, interview preparation, mentoring sessions, and networking opportunities that help learners prepare for job searches.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance to answer any questions you may have regarding the course. Moreover, you will have lifetime access to the community forum, even after completing the course with us.

  • Will missing a live class affect my ability to complete the course?

    Learners can access session recordings if they miss a live class. This allows them to review the concepts at their convenience and stay on track with the learning schedule.

  • 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 a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

  • 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.

  • 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.