Overview
What is Machine Learning, AI & Neural Networks, Setting Up Your ML Environment, Python Basics & Essential Libraries, Data Handling & Preprocessing with Pandas, Data Visualization Techniques, Handling Missing Data & Data Cleaning, Feature Scaling & Normalization, Encoding Categorical Data, Understanding Regression in ML, Simple & Multiple Linear Regression, Logistic Regression & Decision Trees, Model Evaluation & Cross-Validation, Introduction to Deep Learning & Neural Networks, Building a CNN for Image Classification, Object Detection & Image Segmentation, Understanding Sequential Data & Time Series, Natural Language Processing, AI in Creative Fields (Music, Art, Video), Future of AI & ML (Quantum Computing, AGI), AI Career Paths & Industry Opportunities
Beginners with no prior AI or machine learning experience, Students and professionals looking to enter the AI field, Developers and data enthusiasts wanting to master Machine Learning, AI & Neural Networks, Business professionals seeking to understand AI driven decision making
Basic Programming experience needed
Machine Learning, AI & Neural Networks: A Complete Course
Learn Machine Learning, AI & Neural Networks from scratch and gain the skills needed to build intelligent systems used in real-world applications. This comprehensive course is designed to help beginners, professionals, and aspiring AI engineers understand how modern Artificial Intelligence works and how to apply it effectively.
In this course, you will explore the fundamentals of Machine Learning, AI & Neural Networks, including data driven learning, algorithm selection, model training, and performance evaluation. You’ll also dive into neural networks and deep learning concepts that power today’s most advanced technologies such as self driving cars, recommendation engines, voice assistants, and image recognition systems.
What This Course Covers
Introduction to Machine Learning, AI & Neural Networks
Supervised, unsupervised, and reinforcement learning techniques
Neural networks, deep learning, and model optimization
Practical AI applications and real-world use cases
Understanding how AI systems learn, adapt, and improve
Tools and best practices for building scalable AI solutions
Who This Course Is For
Beginners with no prior AI or machine learning experience
Students and professionals looking to enter the AI field
Developers and data enthusiasts wanting to master Machine Learning, AI & Neural Networks
Business professionals seeking to understand AI driven decision making
Why Enroll
In-demand skills for today’s job market
Clear explanations with hands-on learning examples
Lifetime access and practical knowledge you can apply immediately
Strong foundation for advanced AI, deep learning, and data science careers
By the end of this course, you will confidently understand and apply Machine Learning, AI & Neural Networks to solve real problems and advance your career in Artificial Intelligence.
Enroll now and start mastering the future of technology with Machine Learning, AI & Neural Networks.
Muhammad Riaz Uddin
Hi, I’m Muhammad Riaz Uddin
I have 6 years of experience working in Artificial Intelligence, Data Analysis, Web Development, and Web Design. Over the years, I’ve worked on real-world projects that blend problem-solving, creativity, and practical implementation.
My teaching style focuses on simplifying complex concepts and explaining them in a way that’s easy to understand, even for complete beginners. I believe the best way to learn is by doing, so my courses emphasize practical examples, step-by-step guidance, and real-world projects.
On Udemy, my goal is to help students build strong technical foundations, gain confidence in their skills, and apply what they learn to real scenarios—whether they’re just starting out or looking to level up their expertise.
Let’s learn, build, and grow together