• Admission closes on
    Nov 25th, 2024
  • Program Duration

    16 weeks

    (8-10hrs / Week)
  • Learning FormatLive, Online, Interactive

Applied Generative AI Course Highlights

Master the intricacies of Applied Generative AI. Explore 50+ hours of online classes, learn the latest techniques, build a repertoire of industry-standard skills, and earn a certificate of 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

    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 exposure to Copilot, Langchain, OpenAI, Hugging Face, and other prominent tools

    Master GenAI-enabled application development with 60+ exercises

  • 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

Days
Hours
Minutes
Seconds

GET PROGRAME DETAILS

Talk to our Advisor

    • 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
      Cognizant
      Netflix
      Amazon
      Nvidia
      LinkedIn
      Adobe
    • Generative AI Data Scientist
    • Generative AI Architect

FOR ENTERPRISE

Looking to enroll your employees into this program?

Program Outcomes

Program CertificateProgram Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Course completion certificate hosted on the Microsoft Learn portal
  • Build Gen AI-enabled applications through 7 hands-on projects

Applied Generative AI Course 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.

  • 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.

  • 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.

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
  • Retrieval Augmented Generation RAG
  • Stable Diffusion
  • Transformers
  • Variational Autoencoders VAEs

Tools Covered

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

Industry Projects

Applied Generative AI Program Advisor

Total Program Fee

Program Fee $ 2,995

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.

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      25 Nov, 2024

      08:30 CST

    • Regular Classes

      16 Dec, 2024 - 25 Feb, 2025

      18:30 - 21:30 CST

      Weekday (Mon-Thu)

Other Cohorts

    • Date

      Time

      Batch Type

    • Program Induction

      17 Dec, 2024

      09:00 CST

    • Regular Classes

      11 Jan, 2025 - 4 May, 2025

      09:00 - 12:00 CST

      Weekend (Sat - Sun)

Eligibility 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 For This Applied Generative AI Course

  • STEP 1Submit Application

    Briefly outline your education and professional experience

  • STEP 2Reserve Your Seat

    Complete your payment to reserve your admission

  • STEP 3Start Learning

    Selected candidates can begin the program within 1-2 weeks

Demand for Applied Generative AI Course in 2024

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

  • What is Applied Generative AI?

  • Who Is Eligible To Enroll In The Applied Generative AI Course?

  • Why Choose An Applied Generative AI Course?

  • Is Financial Aid Or Scholarships Available For The Course?

  • Who Is The Target Audience For The Applied Generative AI Course?

  • What Topics Are Covered In The Purdue-Simplilearn Applied Generative AI Course?

  • Do I Need Knowledge Of Generative AI To Enroll In This Applied AI Course?

  • Is This Applied Generative AI Course Available Entirely Online?

  • How Is The Purdue-Simplilearn Course Structured, And How Long Is It?

  • Does The Course Offer Hands-On Projects Or Real-World Applications Involving Generative AI?

  • What Certification Is Given For Completing The Purdue-Simplilearn Applied Generative AI Course?

  • How Can I Apply For The Applied Generative AI Course?

  • Is There Any Career Support Offered To The Participants?

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