Gen AI To Unlock Full Data Value

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Minerva Singh

3:07:27

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1. Generative AI For Unlocking The Secrets of Your Data

1. What is AI.mp4

09:51

2. What Is Generative AI.mp4

06:16

3. Data.mp4

10:10

4. What Is Colab.mp4

07:13

5. Using Generative AI To Unlock Data-Some Broad Points.mp4

06:51

6. Beware of Hallucinations.mp4

02:08

2. Generative AI- Where Magic Meets Mega-Computations

1. Gen AI- Live in Action.mp4

06:51

2. Some More Examples of Generative AI.mp4

09:35

3. Inputs to GenAI.mp4

04:29

4. What is Prompt Engineering.mp4

04:04

5. Points About Prompt Engineering.mp4

04:14

6. More on Prompt Engineering.mp4

04:24

3. Generative AI and Large Language Models

1. What Is the connection Between Generative AI and LLMs.mp4

06:12

2. Evolution of GPTs.mp4

01:39

3. Get Access To the OpenAI API.mp4

04:02

4. Introduction to LangChain.mp4

04:30

4. Google Cloud Processing (GCP) For Generative AI

1. GCPs Generative AI Ecosystem.mp4

06:20

2. What is GCP.mp4

02:29

3. Get in the Zone.mp4

03:00

4. Overview of GCP Interface.mp4

02:28

5. GCP Permissions.mp4

03:16

6. Machine Learning in GCP.mp4

01:34

7. GCP Buckets.mp4

04:55

8. Datasets.mp4

02:33

5. LLMs as a Generation Tool

1. Overview-The Summarisation Process.mp4

02:56

2. Abstract Summarizer.mp4

08:41

3. QA-langchain.mp4

07:07

4. Theoretical Undepinnings.mp4

03:01

5. Answer Questions With Llama-Index.mp4

03:50

6. Miscellaneous Resources

1. Different Data Types.mp4

03:37

2. What Is Data Visualisation.mp4

09:33

3. What Is ML.mp4

05:32

4. Theory Behind Ordinary Linear Regression (OLS).mp4

10:44

5. k-means Theory.mp4

01:57

6. CNN Theory.mp4

11:25

Description

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

Who is this for?

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

What You Need to Know?

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

More details

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!
Who this course is for:
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

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Artificial Intelligence

Minerva Singh

Instructor's Courses

I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics. I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly regarded academic journals such as Remote Sensing and given guest lectures on prestigious forums such as Open Data Science Conference (ODSC).

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