Artificial Intelligence (AI) and Machine Learning (ML)
About This Course
This course provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML), covering fundamental concepts, algorithms, and real-world applications. It is designed to help learners understand how AI works, how ML models are built, and how to apply these techniques in various domains like healthcare, finance, and automation.Throughout the course, you will gain hands-on experience with Python, popular ML libraries like Scikit-learn, TensorFlow, and PyTorch, and work on real-world projects. You will also explore deep learning, neural networks, and advanced AI techniques such as Natural Language Processing (NLP) and Computer Vision.By the end of this course, you will be equipped with the skills to build, train, and deploy AI/ML models, making you ready for careers in AI development, data science, and automation.
Learning Objectives
Material Includes
- This course is designed for beginners, students, professionals, and tech enthusiasts who want to gain expertise in AI and ML. It is suitable for software developers, data analysts, engineers, and anyone interested in building intelligent systems. Basic programming knowledge in Python is recommended but not mandatory.
Target Audience
- This course is designed for beginners, students, professionals, and tech enthusiasts who want to gain expertise in AI and ML. It is suitable for software developers, data analysts, engineers, and anyone interested in building intelligent systems. Basic programming knowledge in Python is recommended but not mandatory.
Curriculum
Artificial Intelligence (AI) and Machine Learning (ML)
Module 1: Introduction to AI & ML
Module 2: Mathematics for AI & ML
Module 3: Machine Learning Fundamentals
Module 4: Deep Learning & Neural Networks
Module 5: AI & ML Tools & Frameworks
Module 6: AI in Practice & Projects
Your Instructors
Aiwoox
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₹4,999.00₹5,500.00
Material Includes
- This course is designed for beginners, students, professionals, and tech enthusiasts who want to gain expertise in AI and ML. It is suitable for software developers, data analysts, engineers, and anyone interested in building intelligent systems. Basic programming knowledge in Python is recommended but not mandatory.
