Name: Essentials of Generative AI, Prompt Engineering & ChatGPT
Rating: 4.7 (1145 reviews)

Course Overview

Course Overview to be entered here

Skills Covered

Generative AI and its Landscape
Prompt Engineering
Large Language Models
ChatGPT and its Applications
Ethical Considerations in Generative AI Models
Responsible Data Usage and Privacy
The Future of Generative AI

Training Options

Corporate Training

Customized to your team's needs

Blended learning delivery model (self-paced e-learning and/or instructor-led options)
Course, category, and all-access pricing
Enterprise-class learning management system (LMS)
Enhanced reporting for individuals and teams
24x7 teaching assistance and support

Course Curriculum

Eligibility

It's an introductory program and is open for all learners.

Pre-requisites

There are no pre-requisites required. It's open for all learners.

Course Content

Essentials of Generative AI, Prompt Engineering and ChatGPT
Preview
- Lesson 01: Introduction
  Preview
  - 1.01 Introduction to Generative AI Fundamentals: Concepts, Use Cases, and Practical Essentials
    01:30
  - 1.02 Kickstarting with Generative AI Fundamentals: Concepts, Use Cases, and Practical Essentials
    02:13
- Lesson 02: Overview of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)
  Preview
  - 2.01 Lesson Introduction
    03:01
  - 2.02 Introduction to Artificial Intelligence (AI)
    03:04
  - 2.03 Evolution of Artificial Intelligence
    03:27
  - 2.04 Types of AI
    01:44
  - 2.05 Key Components of AI
    03:03
  - 2.06 AI in Everyday Life and Its Benefits
    02:32
  - 2.07 Challenges of AI and Why AI is Powerful?
    03:46
  - 2.08 Early AI Milestones and the Rise of Machine Learning (ML)
    03:08
  - 2.09 Emergence of Deep Learning (DL) and Key Breakthroughs in AI
    03:26
  - 2.10 Case Study Google Ads
    02:40
  - 2.11 Introduction to Machine Learning
    02:03
  - 2.12 Types of Machine Learning
    02:15
  - 2.13 Applications of Machine Learning in Business
    02:33
  - 2.14 Case Study Netflix
    02:25
  - 2.15 Understanding Reinforcement Learning and Deep Learning
    02:58
  - 2.16 Case Study Amazon Alexa
    02:09
  - 2.17 Machine Learning vs Deep Learning
    02:28
  - 2.18 ML and DL: Applications
    02:49
  - 2.19 Introduction to Neural Networks
    02:50
  - 2.20 Types of Neural Networks
    03:13
  - 2.21 Case Study Amazon
    01:55
  - 2.22 Key Takeaways
    01:59
- Lesson 03: Introduction to Transformers, Advanced AI Models, and Natural Language Processing (NLP)
  Preview
  - 3.017 Zero Shot Learning Few Shot Learning and Prompt Engineering
    04:18
  - 3.01 Lesson Introduction
    02:31
  - 3.02 Attention Mechanism and Transformers
    03:44
  - 3.03 Types of Attention Mechanism
    04:33
  - 3.04 Introduction to Transformer Models
    03:18
  - 3.05 Understanding Self-Attention
    03:00
  - 3.06 Understanding How Self-Attention Works
    03:00
  - 3.07 Transformer Model Architecture
    02:15
  - 3.08 How Encoders Work
    03:00
  - 3.09 How Decoders Work
    04:46
  - 3.10 Text Processing in Transformers
    03:59
  - 3.11 How Transformers Revolutionized AI?
    02:49
  - 3.12 Transformer Models: Advantage
    03:15
  - 3.13 Introduction to BERT
    03:13
  - 3.14 How BERT Learns Through MLM
    03:11
  - 3.15 Real World Applications of BERT
    03:38
  - 3.16 Introduction to GPT Models
    02:53
  - 3.17 Zero-Shot Learning, Few-Shot Learning and Prompt Engineering
    02:57
  - 3.18 Introduction to Natural Language Processing (NLP)
    02:29
  - 3.19 NLP: How It Works and What It Power
    02:30
  - 3.20 Categories of NLP and Techniques Used in NLP
    04:15
  - 3.21 Real-World Applications of NLP Chatbots
    02:37
  - 3.22 Text Classification and Its Common Applications
    03:23
  - 3.23 Applications of NLP in Business
    02:27
  - 3.24 Case Study: Bank of America
    02:00
  - 3.25 Key Takeaways
    02:21
- Lesson 04: Overview of GenAI and AI Project Implementation
  Preview
  - 4.01 Lesson Introduction
    01:48
  - 4.02 What Are GenAI Models?
    04:12
  - 4.03 Transformer-Based Large Language Models
    02:58
  - 4.04 GAN-Based Models
    03:25
  - 4.05 VAE-Based Models
    02:47
  - 4.06 Diffusion Models
    02:44
  - 4.07 Capabilities and Limitations of GenAI Models
    02:31
  - 4.08 Introduction to GenAI Applications and Tools
    02:48
  - 4.09 GenAI Tools and Business Use Cases
    03:37
  - 4.10 Introduction to Prompt Engineering
    03:54
  - 4.11 Demo: Generating a Product Launch Campaign Using ChatGPT
    04:11
  - 4.12 Introduction to the GenAI Open-Source Landscape
    03:48
  - 4.13 Demo: Exploring AI Capabilities with Hugging Face Spaces
    09:56
  - 4.14 GenAI Security Bias and Responsible Use
    04:44
  - 4.15 Future of AI and Emerging Trends
    03:25
  - 4.16 Key Takeaways
    01:59
- Lesson 05: Working with GPTs
  Preview
  - 5.01 Learning Objectives
    01:34
  - 5.02 Day-to-Day Tasks ChatGPT Can Do
    02:23
  - 5.03 Demo: Multilingual Book Translation Using ChatGPT
    03:24
  - 5.04 Demo: Creating a LinkedIn Profile Using ChatGPT
    07:01
  - 5.05 Demo: Sentiment Analysis of User Reviews Using ChatGPT
    03:46
  - 5.06 ChatGPT: Multimodal Capabilities
    03:04
  - 5.07 Demo: Exploring Multimodal Capabilities of ChatGPT
    09:40
  - 5.08 Demo: Customer Feedback Analysis Using ChatGPT
    05:01
  - 5.09 Comparison Between ChatGPT 3.5, 4, and 4o
    05:08
  - 5.10 Comparison Based on a Prompt
    03:15
  - 5.10 ChatGPT Comparison Based on a Use Case
    04:04
  - 5.11 Comparison Based on a Prompt
    03:15
  - 5.12 Exploring GPTs: Categories and Use Cases With Examples
    05:36
  - 5.13 Demo: Creating Marketing Content for Eco Friendly Water Bottles Using Write for Me GPT
    03:35
  - 5.14 Demo: Designing Visually Appealing Content Using Canva GPT
    03:21
  - 5.15 Demo: Creating a Website Design Using DesignerGPT
    05:37
  - 5.16 Demo: Streamlining Literature Surveys on LLM Impact with Consensus GPT
    06:30
  - 5.17 Demo: Enhancing Educational Material Using Universal Primer GPT
    06:18
  - 5.18 Generative AI in Business: Impact Across Domains and Workflow Automation
    01:30
  - 5.19 Demo: Setting Up a Zapier Account and Creating a Zap
    06:53
  - 5.20 Sales and Marketing
    01:30
  - 5.21 Demo: Creating a Video Using AI
    04:07
  - 5.22 Software Engineering
    01:08
  - 5.23 Demo: Designing User Interfaces with Generative AI
    03:45
  - 5.24 Data Analytics
    00:47
  - 5.25 Demo: Data Integrity Using GenAI
    03:39
  - 5.26 Customer Service and Operations
    02:16
  - 5.27 Demo: Transcribing Audio Calls to Text
    04:20
  - 5.28 Key Takeaways
    01:52
- Lesson 06: Advanced GenAI Tools
  Preview
  - 6.01 Learning Objectives
    01:16
  - 6.02 Gemini
    01:47
  - 6.03 Demo Marketing Strategy Using Gemini
    04:02
  - 6.04 Descript
    00:26
  - 6.05 Demo Creating a Video Using Descript
    04:05
  - 6.06 Claude
    00:53
  - 6.07 Demo Creating a Blog Post Using Claude
    03:22
  - 6.08 Key Takeaways
    01:28

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts