• Program Duration16 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Apr 13th, 2024

Program Highlights

Embark on a transformative journey with our Applied Generative AI Specialization program. Dive into state-of-the-art techniques, acquire in-demand skills, and earn a certificate upon completion.

  • Partnership with Purdue University Online

    Program certificate from Purdue University Online and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Learn from the Experts

    50+ hours of core curriculum delivered in live online classes by industry experts

    Masterclasses delivered by Purdue faculty and staff

  • Experiential Learning through Practical Application

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

    Build Generative AI-enabled applications through hands-on projects

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions



Career Opportunities

    • Generative AI Developer

      A Generative AI Developer is a specialized type of AI professional focused on designing, developing, and implementing generative AI models and algorithms. These models and algorithms are used to create new data samples, patterns, or content based on existing data or inputs.

      Average Salaries
      $ 58K - $ 200K
      Hiring Companies
    • Generative AI Data Scientist
    • Generative AI Architect

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Program Outcomes

Program CertificateProgram Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Get official trophy and badges hosted on the Microsoft Learn portal
  • Build Gen AI-enabled applications through hands-on projects

Program Curriculum

  • 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.

  • Comprehend procedural and OOP concepts. Install Python and IDEs. Master Jupyter Notebook usage. Implement identifiers, indentations, and comments. Learn Python data types, operators, and string handling. Understand Python loop types. Explore variable scope in functions and OOP characteristics.

  • Build expertise in cutting-edge areas like generative AI, prompt engineering, and ChatGPT. Acquire hands-on skills for real-world business applications. Efficiently apply generative AI technologies. Master prompt engineering's significance in tailored output production.

  • Unlock the creative potential of artificial intelligence with this Generative AI course. Dive into the fascinating world of generative models, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), and explore the revolutionary Large Language Models (LLMs) and Transformer architectures. Delve deep into attention mechanisms and learn how they enhance the capabilities of AI models.

  • Explore the intricacies of LangChain Workflow Design, mastering the art of orchestrating language generation processes. Dive deep into Advanced Prompt Engineering, honing your ability to craft prompts that elicit desired responses from AI models. Learn the ins and outs of Large Language Model (LLM) Application Development, harnessing the power of cutting-edge language models for diverse applications. Discover the nuances of fine-tuning, and refining LLMs to suit specific tasks and domains.

  • Explore the cutting-edge capabilities of Generative AI in image generation with our specialized course. Delve into Stable Diffusion and Denoising techniques, mastering the art of producing high-quality, coherent images from noisy data. Unlock the potential of Shared Embedding Systems, enabling seamless integration and representation of diverse image features. Learn Contrastive Learning Techniques to effectively enhance model performance by leveraging data similarities and differences.

  • Understand the Significance of AI Governance. Address Governance Challenges in Generative AI. Explore Ethical Principles in AI. Establish Governance Structures and Committees. Manage Risks in AI Projects. Integrate Governance into the AI Project Lifecycle. Navigate the Evolving Regulatory Landscape. Explore Future Trends in AI Governance.

Skills Covered

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

Tools Covered

Open AI
Hugging Face
Google Bard

Industry Projects


    Program Advisor

    Total Program Fee

    Program Fee $ 4,000

    Pay in Installments

    As low as

    You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibilty Criteria

    • Should be at least 18 years and have a high school diploma
    • Basic understanding of programming concepts and mathematics
    • Preferably have 2+ years of professional work experience

    Best Suited For

    • Software Engineers
    • IT Professionals
    • Data Professionals
    • Product Managers
    • Business Analysts
    • AI/ML Engineers

    How to Apply

    • STEP 1Submit Application

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

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates can begin the program within 1-2 weeks

    Apply Now

    Demand for Program

    Generative Artificial Intelligence (Generative AI) is poised for exponential growth, fueled by staggering projections and its transformative potential across industries. By 2030, the Generative AI market is anticipated to surge by an astounding $667.9 billion, representing a remarkable 24.4% projected annual growth rate (CAGR) from 2023 to 2030. This growth trajectory underscores the increasing adoption and integration of Generative AI technologies into various sectors of the economy.

    The impact of Generative AI extends far beyond market size. It is projected to contribute a substantial $4.4 trillion to the global economy annually. Such a significant contribution underscores the pivotal role Generative AI is poised to play in driving innovation, efficiency, and economic growth worldwide.

    Program FAQs

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