Generative AI for Data Analysis and Engineering with ChatGPT
Develop essential generative ai & chatgpt skills with expert instruction and practical examples.
What You'll Learn
Skills you'll gain:
Prerequisites & Target Audience
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Course Information
About This Course
Hi there,Welcome to "Generative AI for Data Analysis and Engineering with ChatGPT" course. ChatGPT and AI Data Analytics and ML Mastering Course with ChatGPT-4o and Next-Gen AI Techniques for Data AnalystArtificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age. In today's data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever.
This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o. Machine learning describes systems that make predictions using a model trained on real-world data. For example, let's say we want to build a system that can identify if a cat is in a picture.
We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats.
This model can then use the patterns learned during training to predict whether the new images that it's fed contain a cat. A machine learning course teaches you the technology and concepts behind predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages.
Topics Covered
Course Details
Course Details
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$199.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
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Certifications in this area
- Microsoft Certified: Azure Data Fundamentals · Foundational
- Microsoft Certified: Azure AI Fundamentals · Foundational
- AWS Certified AI Practitioner · Foundational
- Microsoft Certified: Fabric Data Engineer Associate · Associate
- Microsoft Certified: Power BI Data Analyst Associate · Associate
- Databricks Certified Data Engineer Associate · Associate
Concepts behind this area
Responsible AI
Responsible AI is the practice of building and running systems whose decisions you could defend to the person on the receiving end of them, covering fairness, transparency, privacy and accountability.
Machine Learning
Machine learning is the branch of computing in which a program works out its rule from examples instead of being handed that rule by a programmer, and is judged on how well the rule holds on cases it was never shown.
Neural Networks
A neural network is a stack of layers of very simple arithmetic units whose connection strengths are adjusted by training until the whole arrangement turns the inputs you have into the outputs you want.
The field, explained: Artificial Intelligence & Machine Learning
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.
