Machine Learning, Data Science and Generative AI with Python

Complete hands-on machine learning and GenAI tutorial with data science, Tensorflow, GPT, OpenAI, and neural networks
4.60 (35023 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning, Data Science and Generative AI with Python
231 343
students
20 hours
content
Apr 2025
last update
$129.99
regular price

Why take this course?

🚀 Machine Learning, Data Science, and Generative AI with Python 🤖


Unlock the Power of Machine Learning & AI 🌟 Master the Art of Turning Data into Insight


Discover the Future of Technology 🔍 Complete hands-on machine learning and Generative AI tutorial with data science, Tensorflow, GPT, OpenAI, and neural network expertise at your fingertips!


In a world where Machine Learning (ML) and Artificial Intelligence (AI) are the driving forces behind innovation and progress, understanding these technologies is not just beneficial—it's imperative. With AI giants like Google, Amazon, and Sundog Education leading the charge, the ability to harness the power of data to extract meaningful insights is a skill in high demand. 💼💰

Whether you aspire to be at the forefront of this technological revolution or are drawn to the intellectual challenges it presents, our course is your ticket to an exhilarating career in AI. With a median salary of $159,000 for AI specialists, according to Glassdoor, the financial benefits are just one piece of the puzzle. 🎓🚀


Why Choose This Course? 🤔

  • Updated Content on Generative AI: Get up to speed with the latest advancements in AI, including GPT, ChatGPT, OpenAI API, Retrieval Augmented Generation (RAG), and self-attention based neural networks.

  • Real-World Application: Learn through practical Python code examples that bring ML and AI concepts to life, making them relevant and applicable to real-world scenarios.

  • Industry-Relevant Skills: Our curriculum is meticulously designed based on job listings from top tech firms, ensuring you learn the skills that are most in demand by employers.

  • Diverse Topics Covered: From neural networks to TensorFlow and Keras, sentiment analysis to image recognition, our course provides a comprehensive education across the spectrum of ML models and techniques.

  • Accessible Learning: Complex concepts are broken down into plain English, with a focus on practical application over academic jargon for an engaging learning experience.


Course Highlights

  • Python & Basic Statistics: A strong foundation is laid with an introduction to Python and basic statistics, essential for your ML and AI journey.

  • Deep Learning Techniques: Master MLPs, CNNs, and RNNs with practical exercises in TensorFlow and Keras.

  • Generative AI Mechanics: Explore transformers, OpenAI API, and hands-on projects like fine-tuning GPT in depth.

  • Broader ML Models: Understand a wide array of machine learning models, including SVMs, reinforcement learning, decision trees, and more.

  • Data Science Applications: Tackle real-world data challenges with practical applications such as data visualization, regression analysis, clustering, and feature engineering.

  • Big Data Techniques: Apply your ML knowledge to big data with a section on Apache Spark, analyzed on computing clusters.


No prior Python experience? Our course starts you off with a Python crash course to ensure you're prepared for the advanced modules ahead! 🐍✨


Transform Your Career Today 🚀

Join a thriving community of learners who have successfully transitioned into the tech industry. Utilize the knowledge and skills acquired from our comprehensive course to excel in corporate and research roles within AI and ML.


🌟 "I started doing your course... and it was pivotal in helping me transition into a role where I now solve corporate problems using AI. Your course demystified how to succeed in corporate AI research, making you the most impressive instructor in ML I've encountered." - Kanad Basu, PhD 🌟


Are you ready to step into the future of technology and make a mark in the fields of machine learning and artificial intelligence? Enroll now and embark on a journey that transforms data into powerful insights, setting you on a path to a rewarding career in AI and ML. 🌐✨


Enroll Today and Transform Your Future! 🎉✨

Course Gallery

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Comidoc Review

Our Verdict

This course is an excellent starting point for those with prior exposure to optimization techniques or programming. The instructor provides high-quality content and clear explanations, making it accessible and engaging. However, potential students should be aware that some course materials are outdated—a common issue in long-standing courses. Additionally, there is room for improvement regarding the consistency between video content and Jupyter notebooks. These issues could make the learning experience challenging for beginners. Despite these drawbacks, the comprehensive nature of this course, along with the practical examples and exercises, sets it apart as a valuable resource for those seeking to build a strong foundation in Machine Learning, Deep Learning, and Generative AI.

What We Liked

  • Comprehensive introduction to Machine Learning, Deep Learning, and Generative AI
  • High-quality instruction with clear explanations and concise content
  • Practical examples and exercises enhance understanding of concepts
  • Covers a wide array of topics, including data visualization, clustering, recommendation systems, and A/B testing

Potential Drawbacks

  • Some course materials are outdated, causing issues with code and installations
  • Inconsistencies between video content and Jupyter notebooks
  • Minimal guidance on exercises using different data sets for practice
  • Limited coverage of Generative AI and OpenAI
671576
udemy ID
16/11/2015
course created date
01/06/2019
course indexed date
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