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Generative AI: A Basic Overview
Rating: 4.7 out of 5(12 ratings)
174 students

Generative AI: A Basic Overview

Theoretical Course to Get Started with the Basics of Generative AI: Understanding Key Terms and Popular GenAI Tools
Created byCramlays, Nitin Gujral
Last updated 11/2024
English

What you'll learn

  • Introduction to Generative AI- Applications of Generative AI
  • Quick Demo Popular GenAI tools -ChatGPT, DALL-E, MidJournery
  • Artificial Intelligence, Machine Learning , Deep Learning
  • Architecture behind Generative AI - GAN, VAE, GPT
  • Key Terminilogies like LLMs, RAG

Course content

2 sections • 11 lectures • 37m total length

  • Introduction to Generative AI and Its Applications in Today's World4:00
  • Knowledge Check
  • Lab: Quick Demo of Popular Generative AI Tools - DALL-E, Midjourney, ChatGPT2:19
  • Understanding AI, ML, and Deep Learning4:47
  • Knowledge Check
  • Definition and Key Characteristics of Generative AI and a Few More Use Cases5:21
  • Knowledge Check
  • What is Large Language Model (LLMs)3:24

    Define large language models as AI systems that understand and generate human language, trained on massive text data, and highlight examples such as GPT, Bert, Llama, Claude, Gemini, and Mistral.

  • Knowledge Check
  • Ethical implications of Generative AI2:38

    Assess the ethical implications of generative ai, including misinformation, bias and discrimination, privacy, and job displacement, and learn responsible practices to protect users and data.

  • Knowledge Check
  • Challenges and Risks in Implementing Generative AI3:09

    Explore how to integrate generative ai with existing systems, manage data quality and security, and address workforce reskilling while guiding adoption across teams for a smooth, productive rollout.

  • How to Get Started with Generative AI in Your Organization1:42

Requirements

  • No prior knowledge on this topic is required

Description

Unlock the potential of Generative AI with this comprehensive course, designed to provide leaders and professionals with a solid foundation in AI technology. This course breaks down essential concepts in Generative AI, covering the basics of Machine Learning (ML) and Deep Learning (DL) that underpin AI models. You’ll gain insights into the architecture behind GenAI, with a focus on Large Language Models (LLMs) and how they’re designed to understand and generate human-like language.

We explore powerful tools like ChatGPT, DALL-E, and Midjourney, delving into how they work and how they can be applied to real-world problems. Additionally, the course addresses the Retrieval-Augmented Generation (RAG) architecture, showing how it enhances AI responses by connecting LLMs to external data sources for contextually accurate results.

Beyond technical knowledge, this course also emphasizes the ethical implications of GenAI, such as handling bias, privacy concerns, and potential misinformation. By the end of this course, you’ll understand the opportunities and challenges of deploying Generative AI responsibly.

Whether you're new to AI or an experienced professional, this course equips you with practical insights and the knowledge needed to leverage Generative AI effectively in your organization. Join us to get started with GenAI and gain a competitive edge in today’s AI-driven landscape!

Who this course is for:

  • Anyone who wants to get started with Generative AI

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