Applied Generative AI Specialization
Learn to develop and deploy GenAI-enabled applications
Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.
- Admission closes on 17 May, 2024
- Program Duration 4 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
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 and fine-tuning.
Key Features
- Program completion certificate from Purdue University Online and Simplilearn
- Access to Purdue’s alumni association membership on program completion
- 50+ hours of core curriculum delivered in live online classes by industry experts
- Build Generative AI-enabled applications through hands-on projects
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.
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
Partnering with Microsoft
- Get official trophy and badges hosted on the Microsoft Learn portal
- Acquire an official Microsoft learning path completion transcript
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
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Introduction to Generative Models
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Large Language Models Architecture
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Variational Autoencoders (VAEs)
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Generative Adversarial Networks (GANs)
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Attention Mechanisms and Transformers
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- Langchain and Workflow Design
- Advanced Prompt Engineering Techniques
- LLM Application Development
- 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
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.
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Program Advisors
Armando Galeana
Founder and CEO at Ubhuru TechnologiesA 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
Chief Data Scientist at IntelyticaAmitendra’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
Generative AI & Data Science ConsultantA 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
Data & ML Leader at GoogleAnkit 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
Director and Head of Machine Learning & AI at PegasystemsArijit 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.
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
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
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.
$667.9 bnExpected Generative AI Market Size by 2030
24.4%The global Generative AI market's projected CAGR from 2023-2030
$4.4tnExpected value added by Generative AI to the global economy annually
Companies Hiring
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 industriesIndustryInformation Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%Companies
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.
Submit Application
Tell us a bit about yourself and why you want to do this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can begin the program within 1-2 weeks
Eligibility Criteria
For admission to this Applied Generative AI Specialization program, candidates should:
Admission Fee & Financing
The admission fee for this program is $ 4,000
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.
Pay in Installments
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
Other Payment Options
We provide the following options for one-time payment
- Credit Card
- Paypal
$ 4,000
Apply Now
Program Benefits
- Certificate from Purdue University Online and Simplilearn
- Access to Purdue's Alumni Association Membership
- 50+ 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
Other Cohorts
Date
Time
Batch Type
- Program Induction
9 Jul, 2024
08:30 CDT
- Regular Classes
27 Jul, 2024 - 3 Nov, 2024
08:30 - 11:30 CDT
Weekend (Sat - Sun)
Applied AI Course FAQs
How long does it take to complete the Applied Generative AI Specialization program?
The anticipated time to complete the Applied Generative AI Specialization program is about 3 months.
Who will be the faculty for this Applied Generative AI Specialization program?
Industry experts and experienced professionals lead the Applied Generative AI Specialization program from the data and AI domain, bringing real-world insights and practical knowledge to the classroom. Before they are qualified to train for us, they must undergo a thorough selection procedure, including profile assessment, technical examination, and a training presentation
The distinguished faculty members from Purdue University deliver the masterclasses for this program.
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.
What are the eligibility requirements for the Applied Generative AI Specialization program?
You must meet the following requirements to join the online Applied Generative AI Specialization program:
- Be at least 18 years old and have a high school diploma or equivalent
- Have a basic understanding of coding concepts and mathematics
- Have 2 years or more of work experience (preferred)
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.