Gen Ai To Unlock Full Data Value

Master Generative AI & LLM Basics: Unleash Full Data Potential with Advanced Techniques

What you'll learn

Learn what Generative AI is- its uses and pitfalls

Learn about the different Gen AI tools in use- ChatGPT, Claude

Introduction to prompt enginnering

Introduction to building your own Large Language Model (LLM) based Gen AI

Requirements

Prior experience of using Jupyter notebooks

An interest in knowing more about the technologies behind ChatGPT and Gemini

Exposure to common NLP and LLM terminologies

Access to a Google account

Description

Welcome to "Gen AI To Unlock Full Data Value," a comprehensive course designed to empower you with the skills and knowledge needed to harness the power of Generative AI and Large Language Models (LLMs) for data analysis and management. Whether you're a data scientist, analyst, or enthusiast, this course will equip you with cutting-edge techniques to maximize the value of your data.What You'll Learn:- **Introduction to Generative AI**: Understand the fundamentals of Generative AI, including its applications and potential in various industries.- **Large Language Models (LLMs) Basics**: Dive into the world of LLMs, learn how they work, and explore their transformative impact on data processing.- **Data Preparation and Cleaning**: Master the art of preparing and cleaning data to ensure high-quality inputs for AI models.- **AI-Driven Data Analysis**: Discover advanced AI techniques to analyze and interpret complex datasets, uncovering hidden patterns and insights.- **Automating Data Workflows**: Learn how to automate repetitive data tasks, increasing efficiency and productivity.- **Real-World Applications**: Explore practical use cases and projects that demonstrate the application of Generative AI in unlocking data value.Why Enroll?- **Hands-On Projects**: Gain practical experience with real-world projects that reinforce your learning.- **Expert Guidance**: Learn from industry experts with extensive experience in AI and data science.- **Comprehensive Curriculum**: Covering everything from the basics to advanced techniques, ensuring a thorough understanding.- **Career Advancement**: Enhance your skill set and open up new career opportunities in the rapidly growing field of AI and data science. Who Should Enroll?- Data Scientists and Analysts looking to enhance their AI skills.- Business Professionals seeking to leverage AI for data-driven decision-making.- Students and Enthusiasts eager to explore the potentials of Generative AI and LLMs.- Anyone interested in unlocking the full value of data through advanced AI techniques.Join us in this exciting journey and transform the way you work with data. Enroll now and start unlocking the full potential of your data with Generative AI!

Overview

Section 1: Generative AI For Unlocking The Secrets of Your Data

Lecture 1 What is AI?

Lecture 2 What Is Generative AI?

Lecture 3 Data

Lecture 4 What Is Colab?

Lecture 5 Using Generative AI To Unlock Data-Some Broad Points

Lecture 6 Beware of Hallucinations

Section 2: Generative AI- Where Magic Meets Mega-Computations

Lecture 7 Gen AI- Live in Action

Lecture 8 Some More Examples of Generative AI

Lecture 9 Inputs to GenAI

Lecture 10 What is Prompt Engineering?

Lecture 11 Points About Prompt Engineering

Lecture 12 More on Prompt Engineering

Section 3: Generative AI and Large Language Models

Lecture 13 What Is the connection Between Generative AI and LLMs

Lecture 14 Evolution of GPTs

Lecture 15 Get Access To the OpenAI API

Lecture 16 Introduction to LangChain

Section 4: Google Cloud Processing (GCP) For Generative AI

Lecture 17 GCP's Generative AI Ecosystem

Lecture 18 What is GCP

Lecture 19 Get in the Zone

Lecture 20 Overview of GCP Interface

Lecture 21 GCP Permissions

Lecture 22 Machine Learning in GCP

Lecture 23 GCP Buckets

Lecture 24 Datasets

Section 5: LLMs as a Generation Tool

Lecture 25 Overview-The Summarisation Process

Lecture 26 Abstract Summarizer

Lecture 27 QA-langchain

Lecture 28 Theoretical Undepinnings

Lecture 29 Answer Questions With Llama-Index

Section 6: Miscellaneous Resources

Lecture 30 Different Data Types

Lecture 31 What Is Data Visualisation?

Lecture 32 What Is ML?

Lecture 33 Theory Behind Ordinary Linear Regression (OLS)

Lecture 34 k-means Theory

Lecture 35 CNN Theory

Students and practitioners of Artificial Intelligence (AI),Individuals with prior experience of using tools such as Chat GPT,Students with prior exposure to the GCP ecosystem