Gen AI To Unlock Full Data Value (Udemy.com)
Master Generative AI & LLM Basics: Unleash Full Data Potential with Advanced Techniques
Created by: Minerva Singh
Last updated August 2024
What you will 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
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.4 out of 5higher than 35% of them
- Reviews439#218 of 372 by number of reviews
- Length3.1 hoursshorter than 63% of them
- Last updatedAugust 2024earlier than 63% of them
Course Description
Disclaimer- This course contains the use of artificial intelligence
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!
Instructor Details
- 4.4 Rating
439 Reviews
Minerva Singh
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
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Reviews
By Soikot Hossen on 10/15/2025
This course completely transformed the way I handle data. Generative AI tools now help me extract maximum value from every dataset.
By Ganthimathi Mookkaiah on 3/24/2025
looks like reading.. voice modulation is missing
By Karim Essam on 3/6/2025
A fantastic learning experience! The concepts were broken down clearly, making even the most complex deep learning topics easy to grasp and apply.
By Md. Tofazzol Sheikh Tuhin on 3/6/2025
The course is great, but having a real person explain the concepts instead of a computerized voice would make it much more engaging and enjoyable to learn.
By Yash Patil on 2/24/2025
this particular course feels like the person teaching is just reading from the ppts, Nothing more than that.
By Moses Kasongo on 1/7/2025
The material is organized in a clear and logical manner, making it easy to follow. I've gained a significant amount of knowledge and valuable takeaways from it.
By Sadia Shathi on 1/7/2025
An exceptional experience! The explanations were straightforward and easy to follow, making even the most challenging deep learning topics accessible and understandable.
By Mila Belanger on 12/17/2024
The course is excellent, but I would suggest replacing the computerized voice with a human explanation for a more engaging and personal learning experience.
By Manfred Barnabas on 12/17/2024
The content is well-structured and easy to understand. I’ve learned a great deal and gained valuable insights. I also appreciate the prompt and helpful responses to my questions.
By Zannate Hasna on 9/4/2024
The course is effectively designed, beginning with core GenAI ideas and progressing to more sophisticated concepts and hands-on activities.
Quality Score
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Overall Score : 88 / 100












