• Admission closes

    Mar 15, 2025
  • Program Duration

    16 weeks
  • Learning Format

    Live, Online, Interactive

Key Features

  • 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

    70+ 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 hands-on experience with Copilot, LangChain, OpenAI, DALL-E 2, Hugging Face & more

    Master GenAI apps and agentic AI development with 60+ exercises and 7 industry 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

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Toll Free : +1-844-532-7688

Career Opportunities

  • Generative AI Developer
  • Generative AI Data Scientist
  • Generative AI Architect

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.

Hiring Companies
Cognizant
Netflix
Amazon
Nvidia
LinkedIn
Adobe
Average Salary
$144KMin
$159KAverage
$315KMax

Essentials Skills You will Develop

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

Earn Professional Certifications

Program Certificate
Program Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Masterclasses delivered by Purdue faculty and staff
  • Build Gen AI-enabled applications through 7 hands-on projects
Microsoft Certificate
Microsoft Certificate
  • Course completion certificate hosted on the Microsoft Learn portal
  • Course content developed by Microsoft
  • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)
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Applied Generative AI Course Curriculum

Explore our applied generative AI course and master skills for real-world applications. Learn prompt engineering, LLM architecture, transformers, and agentic AI. Build LLM applications, fine-tune models, and apply governance principles using tools like ChatGPT, LangChain, and Azure AI Studio.

  • 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.

  • Explore the foundations of machine learning and generative AI, covering key algorithms like neural networks, GANs, and transformers. Understand large language models (LLMs) and their applications in chatbots. Delve into image generation techniques with hands-on practice, including GANs, diffusion models, and VAEs. Explore video generation and master prompt engineering for chatbots and AI-driven image creation.

  • 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.

  • This course equips you with comprehensive skills in prompt engineering, including advanced techniques like Chain of Thought (CoT) prompting to optimize AI model interactions. It delves into LangChain for LLM development, focusing on critical aspects like model I/O, vector stores, and chatbot application flow. The course also covers Retrieval-Augmented Generation (RAG) within LangChain, exploring its architecture and integration components.

  • Learn to design AI-driven autonomous agents using agentic frameworks like LangChain. Explore core concepts such as memory storage, goal-setting, and adaptive interactions. Understand how AI agents respond to dynamic inputs and take actions. Participate in live demonstrations of agent building and debugging. Engage in workshops to develop, test, and optimize custom AI agents while evaluating their performance and applying iterative improvements for practical applications.

  • 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.

ELECTIVES
  • This course on the Microsoft Learn portal aims to provide a foundational understanding of Generative AI concepts, techniques, and ethical considerations, preparing you to explore further and apply your knowledge in practical scenarios.

  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Generative AI.

  • Start by getting familiar with environments and the Microsoft Copilot Studio interface to create and manage copilots, create topics, and enhance productivity using generative AI. Test, publish, and analyze performance. Explore Azure AI Studio to understand its functionality, ground your language model, make data searchable, and build a copilot with prompt flow. Use Retrieval-Augmented Generation (RAG) to improve responses. Create a custom copilot using your own data for hands-on learning.

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13+ Tools Covered

python
ChatGPT
Open AI
Hugging Face
Gemini
Microsoft Copilot
Azure AI Studio
Dalle.2
Langchain
Gradio
Streamlit
Stability AI
JUPYTER

Industry Projects

Applied Generative AI Program Advisor

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Total Program Fee

Program Fee $ 2,995
5% off

$ 3,153

Pay in Installments

As low as

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

Program Cohorts

Who Is This Program For?

How to apply For This Applied Generative AI Course

  • 1
    Submit Application

    Briefly outline your education and professional experience

  • 2
    Reserve Your Seat

    Complete your payment to reserve your admission

  • 3
    Start Learning

    Selected candidates can begin the program within 1-2 weeks

Start Application

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps 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

30-day premium subscription to career.io

30-day premium subscription to career.io

Demand for Applied Generative AI Course in 2025

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.

Demand for Applied Generative AI Course in 2025

Program FAQs

  • What is applied generative AI?

  • Is there any career support offered to the participants?

  • Why choose an applied generative AI course?

  • What does an AI professional do?

  • Who are instructors and advisors for this applied generative AI course, and how were they selected?

  • How do I enroll in the applied generative AI course?

  • What career pathways are available after completing the applied AI course?

  • Do I need to be a Purdue student to apply to this applied artificial intelligence course?

  • What are the advantages generative AI offers when applied in software development?

  • What does applied generative AI course by Simplilearn in collaboration with Purdue University cover?

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

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