• Application closes on

    12 Jun, 2025
  • Program duration

    16 weeks (8-10hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Earn an Elite Certificate

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

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

  • icons
    Leverage the Purdue Edge

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

  • icons
    Hands-on Learning Experience

    Build generative AI and agentic AI apps through hands-on, industry-relevant projects

  • icons
    Learn Popular GenAI Tools

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

Corporate Training

Enterprise training for teams

Applied Gen AI Course Overview

This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Master key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Program completion certificate from Purdue University Online and Simplilearn
  • 70+ hours of live, instructor-led training with industry experts
  • Hands-on learning with 7+ real-world projects and a capstone project
  • Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
  • Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain
  • Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI
  • Access to Purdue's prestigious alumni network
  • Simplilearn's JobAssist helps you get noticed by top hiring companies
  • Course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
  • Learn with a diverse cohort of professionals from industries like IT, banking, and education

Applied AI Course Advantage

Gain a competitive edge with hands-on learning in generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning, agentic AI frameworks, RAG, and LLM application development for real-world applications.

  • 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

    • Course completion certificate hosted on the Microsoft Learn portal
    • Acquire an official Microsoft learning path completion transcript
    • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)

Applied AI Course Details

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.

Learning Path

    • 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
    • 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.
    • 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
    • LangChain for LLM Development
    • RAG with LangChain
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
    • Introduction to Agentic Frameworks and Their Applications.
    • Open-Source Agent Frameworks: LangChain and Comparable Tools.
    • Core Agentic Concepts: Memory Storage, Goal-Setting, and Adaptive Interactions.
    • AI Agents: Dynamic Decision-Making and Response to Inputs.
    • Step-by-Step Live Demonstration of Agent Building and Debugging.
    • Hands-On Workshop: Developing, Testing, and Optimizing Custom AI Agents.
    • Evaluating Agent Performance and Applying Iterative Improvements.
    • 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
  • 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.

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.

    • 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

16+ Skills Covered

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

13+ Tools Covered

pythonChatGPTOpen AIHugging FaceGeminiMicrosoft CopilotAzure AI StudioDalle.2LangchainGradioStreamlitStability AIJUPYTER

Industry Projects

  • Project 1

    Personal Expense Tracker

    Develop a personal expense tracker with categorized expenses, monthly budgets, and file handling for data storage. A menu-driven interface enhances usability.

  • Project 2

    Task Manager with User Authentication

    Build a task manager with user authentication, including login and registration. Users can add, view, complete, and delete tasks with persistent storage via file handling.

  • Project 3

    AI Powered HR Assistant

    Create an AI-powered HR assistant using OpenAI’s GPT and Gradio UI to extract answers from Nestlé's HR policy documents, streamlining HR information retrieval

  • Project 4

    AI Driven Marketing Collaterals Generator

    Develop a platform that transforms text prompts into visual designs using OpenAI’s DALL-E and Gradio UI, revolutionizing content creation for marketing

  • Project 5

    AI Powered Business Intelligence Assistant

    Build Insight and Forge, an AI BI assistant using RAG and LLMs to analyze business data, spot trends, and generate insights with interactive visualizations for usability.

  • Project 6

    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 7

    Finetune Falcon7 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.

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

prevNext

An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Ricardo Calix

    Ricardo Calix

    Associate Professor, Computer IT and Graphics

    Ricardo Calix is an Associate Professor of Computer Information Technology and Graphics at Purdue Northwest. He has a Ph.D. in Engineering Science from Louisiana State University in 2011. His research areas include ML, biometrics, intrusion detection systems, and NLP.

  • 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.

  • 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.

  • 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.

prevNext

Program Trainers

  • Bassel Dakhlallah

    Bassel Dakhlallah

    13+ years of experience

    Business Analytics Senior Manager

  • Sohail Hosseini

    Sohail Hosseini

    15+ years of experience

    DevOps Engineer

prevNext

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

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 ai course 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

Learner Reviews

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

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

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 $2,995

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.

Total Program Fee

$2,995

5% off

$3,153

Pay In Installments, as low as

$300/month

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

Apply Now

Program Benefits

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

Program Cohorts

Next Cohort

Other Cohorts

Got questions regarding upcoming cohort dates?

Applied AI Course FAQs

  • What is an applied AI course?

    An applied AI course teaches you to use artificial intelligence techniques to solve real-world problems. Instead of just theory, it emphasizes hands-on learning like building AI-driven applications, using machine learning models, and working with tools such as ChatGPT, Hugging Face, and OpenAI. You’ll learn to apply AI in areas like automation, content generation, chatbots, image creation, and more. It’s ideal for professionals who want practical skills directly relevant to industry needs.

  • What does an AI Professional do?

    An AI professional builds smart systems that can think and learn like humans. They work with tools like machine learning, deep learning, and natural language processing to help automate tasks and make better decisions. Their work can range from designing recommendation engines and streamlining supply chains to strengthening cybersecurity. To do all this, they rely on data skills, statistical knowledge, and coding to create AI solutions that actually work in the real world.

  • How efficient are the trainers at Simplilearn?

    The trainers for the applied AI course at Simplilearn are highly experienced industry professionals who have deep knowledge in areas like machine learning, natural language processing, Google Cloud, and core computer science. Each trainer is carefully chosen based on their expertise, real-world experience, and ability to teach complex concepts in a clear, engaging way so that you get a practical, hands-on learning experience from people who’ve worked in the field.

  • How do I enroll in the applied artificial intelligence course?

    The application process for this applied artificial intelligence course involves three steps.

    • First, candidates must submit an application detailing their motivation for the course.

    • Next, an admission panel will review the applications and shortlist candidates based on their submissions.

    • Finally, selected candidates can begin the Course within 1-2 weeks.

    Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

  • What can be the expected salary range after completing the Applied Generative AI Specialization course?

    The expected salary range after completing an applied Artificial Intelligence course depends on many factors like location, years of experience, industry, and job role. Professionals working in artificial intelligence can expect to earn a higher salary because of their high demand.

    • In the United States, the average annual salary for AI engineers is $103,831, with an estimated additional pay of $31,498, which includes cash bonuses, commission, tips, and profit sharing.

    • In India, the average annual salary is around ₹10,00,000 with the estimated additional pay of ₹1,00,000.

  • What will be the career path after completing the Applied AI Course?

    Companies these days are using AI extensively, and completing an applied AI ML course can lead to a variety of exciting career paths. There’s a strong demand for professionals who can use AI to design solutions, automate tasks, and make smart decisions. This course can prepare you for roles such as:

    • AI Developer

    • Machine Learning Engineer

    • Data Scientist

    • AI Consultant

    With the right experience, you could also step into leadership roles that focus on AI strategy and innovation.

  • What is the scope of applied artificial intelligence?

    The scope of applied AI is rapidly growing across industries. According to a report by McKinsey & Company, 92% of companies plan to invest more in Gen AI over the next three years. This means the demand for skilled AI professionals will continue to rise. Applied AI is already being used in sectors like :

    • Healthcare - for diagnostics and treatment recommendations 

    • Finance - for fraud detection and risk analysis

    • Manufacturing - for predictive maintenance and automation

    • Retail - for personalized shopping experiences and inventory management

     As adoption expands, career opportunities in this field will only grow.

  • What is the difference between applied AI and AI?

    The difference between AI and applied AI is that AI is the theory, while applied AI is the practical use of it. To explain, AI focuses on creating tools and software that can act like humans such as learning, reasoning, and decision-making. Whereas applied AI uses those techniques to solve real-world problems.

    For example, AI involves building a machine learning model that can analyze scans and body images, and applied AI would use that model to detect diseases from medical scans and reports.

  • How will this Applied AI course help me learn Generative AI-based application development?

    This course gives you the knowledge and hands-on skills needed to build real-world Generative AI applications. You will :

    • Learn core concepts like prompt engineering, GANs, VAEs, LLMs, and attention mechanisms

    • Work on 7+ industry projects and a capstone to apply your skills

    • Use tools such as ChatGPT, LangChain, Hugging Face, and Azure AI Studio

    • Explore advanced topics like LLM fine-tuning, RAG, and AI ethics

    • Build applications like chatbots, image generators, and code assistants

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

    Yes, Simplilearn’s applied AI course is eligible for employer reimbursement, but we'd recommend checking the specific terms of educational benefits or tuition assistance programs with your HR department. 

    To help you claim reimbursement with ease, Simplilearn offers completion certificates, detailed receipts, and course breakdowns that can be submitted to your employer or HR department.

  • What are the benefits of enrolling in the Applied Generative AI Specialization?

    This applied AI course is built for professionals looking to stay ahead in the AI field by mastering generative technologies through real-world experience and expert guidance. Here's what you’ll gain:

    • A joint certificate from Purdue University Online and Simplilearn and membership to Purdue’s global alumni network

    • Practical experience with top AI tools like ChatGPT, Azure AI Studio, Hugging Face, Copilot, and OpenAI

    • Live sessions and masterclasses led by experienced faculty and industry leaders

    • Hands-on projects to help you build a strong, job-ready portfolio

    • Career support and guidance through Simplilearn’s JobAssist program

  • What are the eligibility criteria for enrolling in this Applied Generative AI Specialization?

    To join this applied AI and machine learning course, you should have a bachelor’s degree in a relevant field such as computer science, engineering, or mathematics. This applied AI course is ideal for both newcomers and professionals looking to upskill in AI. While having some background in artificial intelligence or programming can be helpful, it’s not mandatory. This applied AI course is designed to guide learners step by step, making it accessible even if you're just starting your journey in AI and machine learning.

    In addition to the Applied AI course, Simplilearn offers a variety of Gen AI courses tailored to different interests and experience levels. You can explore and choose the best course that aligns with your career goals and learning preferences.

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

    After completing the applied AI course, you’ll receive a certificate of completion from Purdue University Online and Simplilearn. This certificate is a great way to showcase your skills in generative AI and can add real value to your professional profile.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers plenty of course options to help you upskill in AI & Machine Learning. You can either take advanced certification training courses or specific courses to sharpen a particular skill. We carefully curate our courses to elevate your knowledge and keep you competitive in the AI & ML field.

    Some similar programs that we offer under AI & machine learning are: 

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

    No, missing a live class will not affect your ability to complete the Applied AI course. With our ‘Flexi-Learn’ feature, you can watch the recording of a missed class anytime. Visit the Simplilearn learning platform, select the missed class, and watch the recording to mark your attendance.

  • Does Simplilearn have corporate training solutions?

    Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

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

  • 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.