Course Overview

Course Overview to be entered here

Skills Covered

Generative AI Fundamentals

AI Types and Core Components

AI Applications inDaily Life

Real-World AI Use Cases

AI, ML & Deep Learning Basics

AI Evolution and Milestones

AI Benefits and Challenges

Generative AI Fundamentals

AI, ML & Deep Learning Basics

AI Types and Core Components

AI Evolution and Milestones

AI Applications inDaily Life

AI Benefits and Challenges

Real-World AI Use Cases

Generative AI Fundamentals

AI, ML & Deep Learning Basics

AI Types and Core Components

AI Evolution and Milestones

AI Applications inDaily Life

AI Benefits and Challenges

Real-World AI Use Cases

Course Curriculum

Course Content

Free AI Tool Landscape Course with certificate
Preview
- Lesson 01: Course Introduction
  02:41Preview
  - 1.01 Trainer Introduction
    00:51
  - 1.02 Course Introduction
    01:50
- Lesson 02: Learning Objectives
  01:03Preview
  - 2.01 Learning Objectives
    01:03
- Lesson 03: AI and GenAI Essentials
  30:57Preview
  - 3.01 Introduction to Generative AI Fundamentals
    01:30
  - 3.02 Overview of Artificial Intelligence Machine Learning Deep Leaning
    02:53
  - 3.03 Introduction to Artificial Intelligence
    03:03
  - 3.04 Evolution of Artificial Intelligence
    03:24
  - 3.05 Types of AI
    01:40
  - 3.06 Key Components of AI
    03:00
  - 3.07 AI in Everyday Life and Its Benefits
    02:32
  - 3.08 Challenges of AI and Why AI is Powerful
    03:45
  - 3.09 Early AI Milestones and the Rise of Machine Learning
    03:08
  - 3.10 Emergence of Deep Learning and Key Breakthroughs in AI
    03:24
  - 3.11 Case Study Google Ads
    02:38
- Lesson 04: Modern AI Models, LLM Capabilities, and Transformers
  14:50Preview
  - 4.01 Modern AI Model and Large Language Models
    01:45
  - 4.02 AI in the Workplace
    01:33
  - 4.03 Large Language Models
    01:22
  - 4.04 How Models Work
    03:09
  - 4.05 Transformers and Their Applications
    04:36
  - 4.06 Popular Large Language Models
    02:25
- Lesson 05: Natural Language Processing and Real-World Applications
  28:23Preview
  - 5.01 Natural Language Processing NLP
    01:15
  - 5.02 Real World Application of Natural Language Processing
    02:41
  - 5.03 Demo Exploring How Large Language Models Adapt Responses Based on Audience and Context
    06:57
  - 5.04 Demo Understanding Transformer Models
    05:46
  - 5.05 Demo Comparing AI Model Output Styles Using the Same Business Prompt
    06:36
  - 5.06 Demo Applying Natural Language Processing to Detect User Sentiment and Intent
    05:08
- Lesson 06: AI Tools Landscape Overview
  59:38Preview
  - 6.01 Overview of Generative AI
    02:03
  - 6.02 Categories of Generative AI Tools
    01:31
  - 6.03 Generative AI Vendor Landscape
    01:45
  - 6.04 Demo Designing Effective Prompts for AI Generated Visual Content
    06:21
  - 6.05 Demo Planning Short Educational and Explainer Videos Using Gemini
    04:50
  - 6.06 Demo Transforming Written Content Into Professional Voice-Over Scripts Using Anthropic Claude
    05:26
  - 6.07 Demo Using Generative AI as a Research Assistant for Executive Summaries
    04:47
  - 6.08 Demo Designing AI Assisted Business Workflows Without Writing Code
    07:23
  - 6.09 Demo Building Microlearning Content Using Generative AI for Corporate Training
    04:50
  - 6.10 Key Consideration for Selecting an AI Tool
    02:14
  - 6.11 Defining the Right AI Use Case
    01:29
  - 6.12 Demo Evaluating AI Tool Pricing Based on Business Size and Usage Patterns
    10:31
  - 6.13 Demo Creating an Enterprise AI Adoption Checklist Covering Compliance and Governance
    06:28
- Lesson 07: Key Takeaways
  01:52Preview
  - 7.01 Key Takeaways
    01:52
  - Knowledge Check

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