Master Python for Artificial Intelligence and Machine Learning with TensorFlow, PyTorch, and Scikit-Learn.
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.
What you’ll learn
- Master Python programming for AI and ML applications..
- Build machine learning models with Scikit-Learn (e.g., Random Forest)..
- Develop deep learning models using TensorFlow and PyTorch..
- Process and visualize data with Pandas, NumPy, and Matplotlib for AI/ML tasks..
Course Content
- Introduction –> 7 lectures • 26min.
- Python Programming Fundamentals –> 5 lectures • 23min.
- Data Handling with Pandas and NumPy –> 5 lectures • 37min.
- Data Visualization with Matplotlib and Seaborn –> 3 lectures • 28min.
- Introduction to Machine Learning with Scikit-Learn –> 2 lectures • 17min.
- Deep Learning with TensorFlow and PyTorch –> 2 lectures • 23min.
- Cloud-Based AI with Google Colab –> 5 lectures • 50min.
- Capstone Project 1: Crop Health Prediction –> 1 lecture • 9min.
- Capstone Project 2: Air Quality Monitoring –> 4 lectures • 53min.
- Capstone Project 3: Counting Plants Using Computer Vision Techniques –> 1 lecture • 10min.
- Capstoe Project 4: Comprehensive Guide to Machine Learning, and Data Processing. –> 5 lectures • 43min.
- Further Reading and Tutorials –> 1 lecture • 2min.
Requirements
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.
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.
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!