Artificial Intelligence Free Course
Introduction to Artificial Intelligence
4.47
Beginner level
3.75 learning hrs
Learn the fundamentals of Artificial Intelligence, including neural networks, natural language processing, and computer vision. Enroll in our free AI course and gain practical knowledge through real-world examples.
Instructor:
Dr. Abhinanda Sarkar
What you’ll learn
About this course
This free Artificial Intelligence (AI) course provides a solid foundation in key AI concepts, enabling you to apply these skills in practical and real-world settings. By the end of the course, you'll be well-equipped to tackle Artificial Intelligence (AI) challenges across various industries, from building neural networks to implementing advanced computer vision techniques.
In this course, you’ll start with an overview of Artificial Intelligence and explore its impact across various industries. You’ll learn about neural networks, understanding how they connect to machine learning and biological neurons, and gain a solid understanding of deep neural networks. The course also covers Natural Language Processing (NLP), explaining its role in real-world applications like sentiment analysis and chatbots. You’ll study the basics of computer vision and its uses in image classification, segmentation, and video analysis. Finally, you’ll build on your knowledge with real-world examples of computer vision, such as face recognition and traffic analytics.
Course outline
Fundamentals of Artificial Intelligence (AI) and Industry Domains
Define Artificial Intelligence (AI) and differentiate it from traditional algorithmic programming. Explore core AI domains including Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV), analyzing their strategic deployment across modern industries.
Computer Vision (CV) Fundamentals: Classification and Segmentation
Master the foundational tasks of Computer Vision (CV). Extract actionable features from visual data to execute Image Classification, Object Detection, Semantic Segmentation, and continuous Video Analysis.
Artificial Neural Networks (ANN) and Deep Learning Architecture
Deconstruct the architecture of Artificial Neural Networks (ANN). Map the functional relationship between biological neurons and artificial perceptrons. Analyze multi-layered Deep Neural Networks (DNN) for complex Machine Learning feature extraction.
Natural Language Processing (NLP): Sentiment Analysis and Chatbots
Process and analyze human language data using Natural Language Processing (NLP). Implement industry-standard text analysis techniques, focusing on computational linguistics, automated Sentiment Analysis, and conversational AI architecture for Chatbots.
Applied Computer Vision: Facial Recognition and Traffic Analytics
Deploy applied Computer Vision models for real-world scenarios. Evaluate industry case studies including biometric authentication via Face Recognition, automated Image Classification, and real-time Video Traffic Analytics.
Generative AI, Large Language Models (LLMs), and Foundation Models
Transition from predictive Machine Learning to Generative AI frameworks. Explore the mathematical underpinnings of generative models. Leverage Large Language Models (LLMs) and foundation models to solve complex real-world content generation challenges.
Get access to the complete curriculum once you enroll in the course
This course is ideal for
- Beginners interested in the fundamentals of AI
- Students looking to understand AI applications
- Professionals seeking a career transition into AI
- Industry enthusiasts exploring neural networks and CV
4.47
Earn certificates from world-renowned universities
Learn from top faculty with live mentorship and hands-on learning.
UNIVERSITY
Highly Recommended
McCombs School of Business at The University of Texas at Austin
PG Program in Artificial Intelligence & Machine Learning
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India
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Skill & tools
60% of learners found all the desired skills & tools
Our course instructor
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Artificial Intelligence Expert
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