Machine Learning, Data Science and Generative AI with Python

Master machine learning and AI with hands-on tutorials. Dive into TensorFlow, GPT, OpenAI, and neural networks to advance your career in technology.

  • Overview
  • Curriculum
  • Instructor
  • Review

Brief Summary

This course is your ticket to understanding machine learning and AI. It’s packed with hands-on exercises using Python and covers everything from basic statistics to advanced generative AI techniques. Perfect for anyone looking to level up their tech game!

Key Points

  • Hands-on learning with real-world Python projects
  • Deep dive into Generative AI and modern ML techniques
  • Focus on industry-relevant skills for top tech jobs
  • Accessible explanations of complex concepts
  • Includes a beginner-friendly Python crash course

Learning Outcomes

  • Gain practical experience with Python and ML tools
  • Understand deep learning methods like CNNs and RNNs
  • Master generative AI techniques and tools like GPT
  • Learn to analyze big data using Apache Spark
  • Build real-world projects that showcase your skills

About This Course

Complete hands-on machine learning and GenAI tutorial with data science, Tensorflow, GPT, OpenAI, and neural networks

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

Discover the Future of Technology with Our Comprehensive Machine Learning & AI Course - Featuring Generative AI, Deep Learning, and Beyond!

In an era where Machine Learning (ML) and Artificial Intelligence (AI) are revolutionizing industries across the globe, understanding how giants like Google, Amazon, and Udemy leverage these technologies to extract meaningful insights from vast data sets is more critical than ever. Whether you're aiming to join the ranks of top-tier AI specialists—with an average salary of $159,000 as reported by Glassdoor—or you're driven by the fascinating challenges this field offers, our course is your gateway to an exciting new career trajectory.

Designed for individuals with programming or scripting backgrounds, this course goes beyond the basics, preparing you to stand out in the competitive tech industry. Our curriculum, enriched with over 145 lectures and 20+ hours of video content, is crafted to provide hands-on experience with Python, guiding you from the fundamentals of statistics to the cutting-edge advancements in generative AI.

Why Choose This Course?

  • Updated Content on Generative AI: Dive into the latest in AI with modules on transformers, GPT, ChatGPT, the OpenAI API, Advanced Retrieval Augmented Generation (RAG), LLM agents, langchain, and self-attention based neural networks.

  • Real-World Application: Learn through Python code examples based on real-life scenarios, making the abstract concepts of ML and AI tangible and actionable.

  • Industry-Relevant Skills: Our curriculum is designed based on the analysis of job listings from top tech firms, ensuring you gain the skills most sought after by employers.

  • Diverse Topics Covered: From neural networks, TensorFlow, and Keras to sentiment analysis and image recognition, our course covers a wide range of ML models and techniques, ensuring a well-rounded education.

  • Accessible Learning: Complex concepts are explained in plain English, focusing on practical application rather than academic jargon, making the learning process straightforward and engaging.

Course Highlights:

  • Introduction to Python and basic statistics, setting a strong foundation for your journey in ML and AI.

  • Deep Learning techniques, including MLPs, CNNs, and RNNs, with practical exercises in TensorFlow and Keras.

  • Extensive modules on the mechanics of modern generative AI, including transformers and the OpenAI API, with hands-on projects like fine-tuning GPT, Advanced RAG, langchain, and LLM agents.

  • A comprehensive overview of machine learning models beyond GenAI, including SVMs, reinforcement learning, decision trees, and more, ensuring you have a broad understanding of the field.

  • Practical data science applications, such as data visualization, regression analysis, clustering, and feature engineering, empowering you to tackle real-world data challenges.

  • A special section on Apache Spark, enabling you to apply these techniques to big data, analyzed on computing clusters.

No previous Python experience? No problem! We kickstart your journey with a Python crash course to ensure you're well-equipped to tackle the modules that follow.

Transform Your Career Today

Join a community of learners who have successfully transitioned into the tech industry, leveraging the knowledge and skills acquired from our course to excel in corporate and research roles in 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, paving your way to a rewarding career in AI and ML.

  • Build generative AI systems with OpenAI, RAG, and LLM Agents

  • Build artificial neural networks with Tensorflow and Keras

  • Implement machine learning at massive scale with Apache Spark's MLLib

Course Curriculum

Instructors

Profile photo of Sundog Education by Frank Kane
Sundog Education by Frank Kane

Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software...

Instructors

Profile photo of Frank Kane
Frank Kane

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 17 issued patents in the...

Instructors

Profile photo of Sundog Education Team
Sundog Education Team

Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations...

Review
4.9 course rating
4K ratings
ui-avatar of Vinod Mathew
Vinod M.
5.0
7 months ago

The best machine learning course in Udemy.

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ui-avatar of John Baglio
John B.
5.0
7 months ago

The lectures were easy to follow, and the practice activities really helped further my understanding of machine learning in general.

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ui-avatar of Suherman PhD
Suherman P.
5.0
7 months ago

Good course, updated content!

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ui-avatar of Michel Kebbe
Michel K.
5.0
7 months ago

Your presentation was extremely informative and well-structured. To improve audience focus, please be mindful of repetitive mouth sounds like tongue-smacking, as these can sometimes be distracting for the audience.

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ui-avatar of Sanket Sanjay Bhangale
Sanket S. B.
5.0
7 months ago

It was a great course overall

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ui-avatar of Sergey Gaziev
Sergey G.
5.0
7 months ago

Very clear instructions. Easy and straightforward install everything and run examples and exercises. Fundamental explanation.

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ui-avatar of Ganza Frank
Ganza F.
4.5
7 months ago

The hands-on activities allowed me to apply some of the concepts in real-world scenarios, reinforcing my understanding. I feel like some sections could use deeper explorations. Overall, I highly recommend this course for anyone looking to learn and gain practical skills with Gen-ai /machine learning.

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ui-avatar of FCME088 FCME088
Fcme088 F.
5.0
7 months ago

excellent course give all details for machine learning engineering

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ui-avatar of Mike Rooz
Mike R.
3.5
7 months ago

I think the course material is too much in the middle between being high level general knowledge on the one end and going into rigorous theory on the other hand. I think the middle ground approach fails as it become hard to follow and understand sometimes.

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ui-avatar of Rambabu Chamakuri
Rambabu C.
5.0
7 months ago

Great explanation with examples.

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