Master Python for Artificial Intelligence and Machine Learning with TensorFlow, PyTorch, and Scikit-Learn.
Description
Welcome to Python for AI and Machine Learning: From Beginner to Pro, the ultimate course to master Python for building cutting-edge artificial intelligence (AI) and machine learning (ML) models! This comprehensive 25+ hour course is crafted for complete beginners and aspiring professionals, requiring no prior coding experience. You’ll progress from Python fundamentals to advanced AI techniques using industry-standard tools like TensorFlow, PyTorch, and Scikit-Learn, guided step-by-step to ensure success.
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Through 4+ hands-on projects—including a crop health predictor, image classifier, air quality forecaster, and a custom ML application—you’ll gain practical skills to create a job-ready portfolio. Learn to process and visualize data with Pandas, NumPy, and Matplotlib, and train models in the cloud using Google Colab with GPU support. The course applies AI/ML to real-world challenges in industries like agriculture, healthcare, and environmental science, making it relevant for diverse learners.
Taught by Dr. Azad Rasul, a geospatial data scientist and Assistant Professor with over 150,000 students mentored, this course offers clear explanations, practical projects, and career-focused guidance for high-demand data science and AI roles.
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Whether you’re aiming to land a data science job, enhance your current role, or explore AI innovations, this course equips you with the tools and knowledge to succeed. Join a global community of learners and start building impactful AI solutions today!
| Total Students | 4813 |
|---|---|
| Duration | 5.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 42 |
| Number of quizzes | 8 |
| Total Reviews | 26 |
| Global Rating | 3.8269231 |
| Instructor Name | Senior Assist Prof Azad Rasul |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 5.5 hours
- Practical value: 6/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Clear Explanation
Watch-outs
- Too fast
- Too slow
Difficulty
Best suited for
New learners starting from zero
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