Purdue University - Applied Generative AI Specialization

Offered bySimplilearn
Private Institute
Estd. 2010

Applied Generative AI Specialization
at
Simplilearn
Overview

Exploring Cutting-Edge Techniques in AI Generation

Duration	4 months
Start from	Start Now
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.
Fee can be paid in installments.
Access to Purdue’s alumni association membership on program completion.

Applied Generative AI Specialization
at
Simplilearn
Course details

Skills you will learn

Python Risk Management

Who should do this course?

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

What are the course deliverables?

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

More about this course

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.

Gain a competitive edge with hands-on learning in the transformative arena of Generative AI.

Applied Generative AI Specialization
at
Simplilearn
Curriculum

AGS: Program Induction
AGS: 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
Preview
AGS: 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
AGS: 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
AGS: Advanced Generative AI - Building LLM Applications
- Langchain and Workflow Design
- Advanced Prompt Engineering Techniques
- LLM Application Development
- LLM Fine-Tuning and Customization
- Benchmarking and Evaluation of LLM Capabilities
AGS: Advanced Generative AI - Image Generation Capabilities
- Stable Diffusion
- Denoising
- Autoencoders in Generative AI
- Contrastive Learning Techniques
- Shared Embedding Spaces
AGS: 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

Electives:

AGS: Microsoft Azure AI Fundamentals - Generative AI
- 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
AGS: Academic Masterclass

Attend an online interactive masterclass and get insights about advancements in technology/techniques in Generative AI

Applied Generative AI Specialization
at
Simplilearn
Faculty details

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

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.