• Application closes on

    16 Dec, 2024
  • 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

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

  • icons
    Learn Popular GenAI Tools

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

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

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, RAG, and fine-tuning.

Key Features

  • Program completion certificate from Purdue University Online and Simplilearn
  • Access to Purdue’s alumni association membership on program completion
  • 70+ hours of core curriculum delivered in live online classes by industry experts
  • Master GenAI-enabled application development with 60+ exercises, 7 industry-relevant projects
  • Live online masterclasses delivered by Purdue faculty and staff
  • Gain exposure to Copilot, Azure AI Studio, ChatGPT, OpenAI, Dall-E 2, Hugging Face & other prominent tools
  • Course completion certificate hosted on the Microsoft Learn portal
  • Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, Retrieval Augmented Generation (RAG), and LLM fine-tuning
  • Build an end-to-end RAG-based application through hands-on projects
  • Simplilearn Career Service helps you get noticed by top hiring companies

Applied 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

    • 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 AI course 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
    • LangChain for LLM Development
    • RAG with LangChain
    • 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
  • 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

15+ Skills Covered

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

12+ Tools Covered

pythonChatGPTOpen AIHugging FaceGeminiMicrosoft CopilotAzure AI StudioDalle.2LangchainGradioChromaStreamlit

Industry Projects

  • Project 1

    Crafting an AI powered Business Analysis Tool

    Develop an AI-powered tool that analyzes business data, generates insights, and provides recommendations using natural language processing and Retrieval-Augmented Generation (RAG).

  • Project 2

    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 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

    Finetune Falcon7brsquos 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.

  • Project 8

    Building 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.

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

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Program Advisors

  • 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.

  • 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.

  • 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.

  • 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.

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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

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

Pay In Installments, as low as

$ 300/month

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit 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 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

      16 Dec, 2024

      08:30 CST

    • Regular Classes

      16 Dec, 2024 - 25 Feb, 2025

      18:30 - 21:30 CST

      WeekdayMWTh

Other Cohorts

    • Date

      Time

      Batch Type

    • Program Induction

      20 Dec, 2024

      09:00 CST

    • Regular Classes

      11 Jan, 2025 - 4 May, 2025

      09:00 - 12:00 CST

      WeekendSaSu

Got questions regarding upcoming cohort dates?

Applied AI Course FAQs

  • What is an applied AI course?

    An applied AI course is a comprehensive program that teaches learners practical skills in artificial intelligence, focusing on real-world applications to help build proficiency. This course typically covers topics like machine learning, deep learning, and natural language processing, providing hands-on experience with the latest tools and frameworks relevant to today's working landscape. Such a course is tailored for professionals looking to build AI models and enhance their career prospects in data science and automation, which drive growth and innovation.

  • What does an AI Professional do?

    An AI professional develops, implements, and fine-tunes artificial intelligence models and algorithms to solve problems or automate organizational tasks. AI professionals are known to work with large data sets, design ML systems, and collaborate with other teams to integrate AI solutions into products or processes. They also train models and optimize performance with the latest AI advancements to improve efficiency.

  • What are the Benefits of Enrolling in the Applied Generative AI Specialization?

    The demand for applied generative AI professionals is constantly increasing. This course equips learners with practical skills to create AI-driven content, design chatbots, and generate innovative solutions across industries. Here are some of the course benefits:

    • Earn a joint program certificate from Purdue University Online and Simplilearn

    • Gain access to Purdue’s Alumni Association membership

    • Exposure to the latest tools like Copilot, ChatGPT, Hugging Face, Azure AI Studio, and OpenAI

    • Live online masterclasses delivered by Purdue faculty and staff

    • Simplilearn's JobAssist services to help you get noticed by top hiring companies

  • How efficient are the trainers at Simplilearn?

    This program’s trainers are industry experts with extensive experience in the field, like machine learning models, natural language understanding, google cloud and computer science. They are selected based on expertise, industry recognition, and teaching ability to ensure you receive top-quality education and insights.

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

    The salary range you can expect after completing the program will depend on factors such as your job role, industry sector, and cumulative years of experience. However, Applied Gen AI engineers can earn an average yearly salary of USD 105,424 in the US and INR 10.4 Lakhs in India (source: Payscale).

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

    This applied AI course will equip you with the skills to design and implement AI-driven solutions to automate processes and enhance decision-making. Gen AI professionals are in high demand, and upskilling will likely get you into leadership roles in AI strategy and innovation. That being said, some of the job roles you could explore are:

    • AI developer

    • Machine learning engineer

    • Data scientist

    • AI consultant

    • AI development and developing code

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.

  • What is the refund policy for this Applied AI ML program?

    You can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our refund policy.

  • What is the scope of applied artificial intelligence?

    Applied AI uses AI techniques like machine learning, natural language processing, and computer vision to address practical problems, optimize processes, and enhance decision-making. It can automate repetitive tasks, improve customer experiences, enable predictive analytics and even work as an autonomous system in self-driving cars. Its scope continuously expands as new technologies emerge and is widely used in healthcare, finance, manufacturing, and retail industries.  Web developers use free generative AI tool, along with other AI tools and AI platforms, to enhance their projects and streamline workflows.

  • What is the difference between applied AI and AI?

    The difference between applied AI and AI lies in their scope and focus. AI is a relatively vast field that includes all aspects of creating tools that can mimic human intelligence, such as learning, reasoning, and problem-solving. Applied AI, on the other hand, specifically is the practical application of AI techniques in real-world cases, like using fundamental concepts like machine learning for fraud detection or chatbots for customer service. In short, applied AI is AI in action, tailored to industries or tasks.

  • How will this program help me to learn Generative AI-based application development?

    This program has multiple hands-on projects to help you build your Generative AI portfolio. One such project involves the end-to-end development of a business analysis tool using natural language processing (NLP) and Retrieval-Augmented Generation (RAG)

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

    Yes, Simplilearn’s Applied Generative AI Specialization, offered in collaboration with Purdue University is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue also accepts tuition vouchers, which can streamline reimbursement.

    To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

  • 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.

  • 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.

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

    Absolutely! Simplilearn offers plenty of options to help you upskill in AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the AI & Machine Learning field.

    Similar programs that we offer under AI & Machine Learning

  • 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 course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • What are the eligibility criteria to enroll in this Applied Generative AI Specialization?

    To be eligible for this Applied Generative AI Specialization, applicants should have a bachelor's degree in a relevant field. Simplilearn’s Applied Generative AI Specialization can be taken up by newcomers and experienced professionals. Though prior knowledge of artificial intelligence  is helpful, it is not compulsory. Additionally, there is no requirement for previous work experience.

  • Disclaimer
  • 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.