• Admission closes on 23 Apr, 2024
  • Program Duration 4 months
  • Learning Format Online Bootcamp

Why Join this Program

Earn an Elite Certificate

Joint Applied Generative AI program certificate from Purdue University Online and Simplilearn

Leverage the Purdue Edge

Gain access to Purdue’s alumni association membership on program completion

Hands-on Learning Experience

Learn to build Generative AI-enabled applications through industry-relevant hands-on projects

Learn Popular GenAI Tools

Gain exposure to ChatGPT, Hugging Face, DALL-E 2, LangChain and other prominent tools

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Applied Gen AI Course Overview

This Applied Generative AI course will equip you with the skills to deploy generative AI techniques in real-world scenarios. You'll build a holistic understanding of applied generative AI, from mastering concepts like GANs, VAEs, and prompt engineering to exploring advanced topics like LLM application development and fine-tuning.

Key Features

  • Program completion certificate from Purdue University Online and Simplilearn
  • Access to Purdue’s alumni association membership on program completion
  • 50+ hours of core curriculum delivered in live online classes by industry experts
  • Build Generative AI-enabled applications through hands-on projects
  • Live online masterclasses delivered by Purdue faculty and staff
  • Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
  • Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals: Generative AI’ on the Microsoft Learn portal

Applied Gen AI Course Advantage

Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.

  • University Certificate

    Partnering with Purdue University Online

    • Receive a joint Purdue-Simplilearn program certificate
    • Masterclasses delivered by Purdue faculty and staff
    • Earn eligibility for Purdue’s Alumni Association membership
  • Microsoft Azure Certificate

    Partnering with Microsoft

    • Get official trophy and badges hosted on the Microsoft Learn portal
    • Acquire an official Microsoft learning path completion transcript

Applied Gen AI Course Details

Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.

Learning Path

  • Get started with this Applied Generative Specialization Program and explore everything about this unique learning journey covering all the concepts of the generative AI domain you need to boost your career.

    • 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
    • Cutting-edge knowledge: Learn generative AI, prompt engineering, and ChatGPT
    • Hands-on skills: Acquire real-world understanding of business applications
    • Effective GenAI utilization: Master the art of applying Generative AI efficiently
    • Master prompt engineering: Grasp its significance in producing tailored outputs
    • 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
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
    • 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
Electives:
    • 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
       
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Generative AI.

Skills Covered

  • Python Programming
  • Explainable AI
  • Prompt Engineering
  • Variational Autoencoders VAEs
  • Generative Adversarial Networks GANs
  • Transformers
  • LLM Architecture
  • Attention Mechanism
  • Langchain for Workflow Design
  • GenAI Application Development
  • LLM Fine Tuning
  • LLM Benchmarking
  • Stable Diffusion
  • Generative AI Governance

Tools Covered

pythonChatGPTOpen AIHugging FaceGoogle BardDalle.2LangchainGradioChromaStreamlit

Industry Projects

  • Project 1

    Craft an AI Powered HR Assistant

    Develop a virtual assistant designed to answer queries related to Nestle's HR policy. Leverage Python libraries and OpenAI's GPT model for accurate and efficient query responses.

  • Project 2

    Build a Creative Logo Designer

    Use OpenAI's DALL-E and Gradio UI to develop an innovative logo builder. The app creates unique and stunning logos from text prompts, revolutionizing the logo design process.

  • Project 3

    Conversational Chatbot for Document Interaction

    Create a conversational chatbot able to engage users in meaningful dialogues, answer queries, offer recommendations, and aid tasks using provided documents as inputs.

  • Project 4

    Fine Tune a 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.

  • Project 5

    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 6

    Develop a Shopping App Using Python

    Develop a Python shopping app with login features, category management, cart functionality, and payment options. Backend only, no UX/UI or database needed.

  • Project 7

    Create an Online Car Rental Platform

    Create an online car rental platform where customers can view and rent cars hourly, daily, or weekly. Use Python OOP for development.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors

  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

  • 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.

  • 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.

  • 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.

  • Arijit Mitra

    Arijit Mitra

    Director and Head of Machine Learning & AI at Pegasystems

    Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

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

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.

  • 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

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

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the program within 1-2 weeks

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 $ 4,000

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.

Pay in Installments

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

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 4,000

Apply Now

Program Benefits

  • Certificate from Purdue University Online and Simplilearn
  • Access to Purdue's Alumni Association Membership
  • 50+ hours of curriculum delivered in live online classes
  • Build Gen AI-enabled applications through hands-on projects
  • Exposure to ChatGPT, OpenAI, DALL-E 2, Hugging Face & others

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      23 Apr, 2024

      08:30 CDT

    • Regular Classes

      25 May, 2024 - 22 Sep, 2024

      08:30 - 11:30 CDT

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Applied Gen AI Course FAQs

  • How long does it take to complete the Applied Generative AI Specialization program?

    The anticipated time to complete the Applied Generative AI Specialization program is about 3 months.

  • Who will be the faculty for this Applied Generative AI Specialization program?

    Industry experts and experienced professionals lead the Applied Generative AI Specialization program from the data and AI domain, bringing real-world insights and practical knowledge to the classroom. Before they are qualified to train for us, they must undergo a thorough selection procedure, including profile assessment, technical examination, and a training presentation

    The distinguished faculty members from Purdue University deliver the masterclasses for this program.

  • What certificate will I receive after completing this Applied Generative AI Specialization program?

    Upon completing this Applied Generative AI program, you will be awarded a joint certificate of completion from Purdue University Online and Simplilearn.

  • What are the eligibility requirements for the Applied Generative AI Specialization program?

    You must meet the following requirements to join the online Applied Generative AI Specialization program:

    • Be at least 18 years old and have a high school diploma or equivalent
    • Have a basic understanding of coding concepts and mathematics
    • Have 2 years or more of work experience (preferred)

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.