Purdue University - Applied Generative AI Specialization
- Offered bySimplilearn
- Private Institute
- Estd. 2010
Applied Generative AI Specialization at Simplilearn Overview
Duration | 4 months |
Start from | 18th Feb'25 |
Total fee | ₹1.50 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Applied Generative AI Specialization at Simplilearn Highlights
- Earn a certificate after completion of course from Purdue University Online and Simplilearn
- Fee can be paid in installments
Applied Generative AI Specialization at Simplilearn Course details
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
Python Programming
Explainable AI
Prompt Engineering
Variational Autoencoders VAEs
Generative Adversarial Networks GANs
Transformers
LLM Architecture
Attention Mechanism
Langchain for Workflow Design
GenAI Application Development
LLM Fine Tuning
LLM Benchmarking
Stable Diffusion
Generative AI Governance
Attention Mechanism
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
Applied Generative AI Specialization at Simplilearn Curriculum
Program Induction
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
Python Basics (Optional)
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
Essentials of Generative AI, Prompt Engineering & ChatGPT
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
Advanced Generative AI - Models and Architecture
Introduction to Generative Models
Large Language Models Architecture
Variational Autoencoders (VAEs)
Generative Adversarial Networks (GANs)
Attention Mechanisms and Transformers
Advanced Generative AI - Building LLM Applications
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
Advanced Generative AI - Image Generation Capabilities
Stable Diffusion
Denoising
Autoencoders in Generative AI
Contrastive Learning Techniques
Shared Embedding Spaces
Generative AI Governance
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
Capstone Project
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