Basics of Artificial Intelligence (AI) – Self Paced

Step into the world of Artificial Intelligence (AI) with our comprehensive course “Basics of Artificial Intelligence”, designed for students, beginners, and professionals who want to explore AI technologies from the ground up.

This self-paced AI course by IBM covers the core principles of AI, Python programming for AI, Machine Learning fundamentals, Natural Language Processing (NLP), and Computer Vision techniques. Whether you’re preparing for a career in AI, Data Science, or want to future-proof your skills, this course will provide you with the knowledge and hands-on exposure to essential AI concepts.

What You’ll Learn:

1. Introduction to Artificial Intelligence

• What is Artificial Intelligence?

• Applications of AI across industries (healthcare, finance, robotics, and more)

• History and evolution of Artificial Intelligence

• Ethical and social issues in AI (bias, automation, responsible AI)

2. Programming for AI (Python Essentials)

• Introduction to Python programming

• Data types, control structures, and functions

• Working with NumPy and Pandas libraries for data handling

3. Machine Learning Fundamentals

• Overview of Machine Learning

• Supervised and Unsupervised Learning

• Introduction to Deep Learning concepts

4. Natural Language Processing (NLP)

• Introduction to NLP and its real-world use cases

• Text preprocessing, tokenization, and feature extraction

• Basics of text classification and sentiment analysis

5. Computer Vision

• Introduction to Computer Vision concepts

• Image processing and feature extraction basics

• Introduction to object detection and recognition

Why Enroll in This Course?

• Beginner-friendly: No prior AI knowledge required

• Hands-on learning with Python, NumPy, and Pandas

• Industry-relevant skills for AI, ML, NLP, and Computer Vision

• Learn from IBM-certified instructors with global recognition

• Flexible self-paced learning model

By the end of this course, you’ll have a solid understanding of AI concepts, tools, and techniques that will help you advance toward careers in Artificial Intelligence, Machine Learning, and Data Science.