AI for Beginners Free Course
Introduction to Artificial Intelligence
4.48
Beginner level
3.0 learning hrs
Learn the fundamentals of Artificial Intelligence, including neural networks, natural language processing, and computer vision. Enroll in our AI for beginners free 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
- Absolute beginners wanting an AI overview.
- Students exploring tech careers.
- Business leaders seeking to understand AI capabilities.
- Non-technical professionals looking to learn AI basics.
4.48
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60% of learners found all the desired skills & tools
Our course instructor
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Artificial Intelligence Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Is this Introduction to AI course a certification course?
What will I learn in this Free AI Course for Beginners?
Can I apply what I learn in this Introductory AI Course to real-world situations?
What AI topics are covered in this Beginner's AI Training ?
The course covers key AI topics including:
- Fundamentals of Artificial Intelligence
- Neural networks
- Basics of Natural Language Processing (NLP)
- Fundamentals of Computer Vision
- Tasks involved in Computer Vision
Is this AI course suitable for beginners with no prior knowledge?
Will I have lifetime access to this AI Course for Beginners?
How long does this free AI course take to complete?
Is this free AI course self-paced?
How do I enroll in this free AI course?
- Search for the "Introduction to Artificial Intelligence" free course in the search bar present at the top corner of Great Learning Academy.
- Register for the course through the Enroll Now button and start learning.
What will I be able to do after completing this AI Basics course?
What should I learn after finishing this free AI course?
What jobs can I get if I learn AI?
There are many jobs that demand that you learn Artificial Intelligence, such as:
AI Research Scientist
- AI Programmer
- Machine Learning Engineer
- AI/Robotics Engineer
- AI Product Manager
- Data Scientist
- AI Solutions Architect
- Natural Language Processing Engineer
- AI/Robotics Researcher
- AI Embedded Systems Engineer
Who should take this free AI course?
Why choose Great Learning for this free AI course?
Is there a limit on how many times I can take this free course?
Can I sign up for multiple courses from Great Learning Academy at the same time?
What are the next steps after completing this free Artificial Intelligence course?
This course introduces learners to the fundamentals of Artificial Intelligence and its real-world applications. Those who want to continue their learning journey can explore advanced programs covering machine learning, deep learning, AI tools, and practical projects. Learners looking for an industry-focused pathway may explore the PG Program in Artificial Intelligence, while those seeking a university-backed learning experience in AI and data science may explore the IIT Bombay PG Diploma in Artificial Intelligence and Data Science.
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