Introduction
Begin a transformative adventure into Artificial Intelligence with our curated selection of the Best 10 Online Resources for Learning AI. Whether you’re an enthusiast or a beginner, this compilation will guide you through a landscape filled with valuable knowledge. Discover the potential of AI one click at a time. Unlock a realm where technology and human creativity come together harmoniously.
1. Elements Of AI
This course caters to beginners who need to learn more about artificial intelligence, maths or even computers but have the willingness to learn. This course teaches you about what AI does, how it affects our lives, and how to create it without knowing complex stuff and jargon. This course was initiated in Finland as a part of the Finnish government’s initiative to educate its population about AI. Now, it is open to everyone.
Features of Element AI:
- Project Management.
- Task Management.
- Customer DataBase.
- Collaboration Tools.
- Workflow Management.
2. AI For Everyone – Coursera
This course is for those who want to learn AI without dealing with complicated technical stuff and terminology. It’s curated for those people who need to use AI at work but want to avoid getting into all its technicalities, as this course offers practical skills and knowledge. This course is taught by Professor Andrew Ng, who has work experience at Google and Baidu. Also, he is a Co-founder at Coursera.
In this course, you will get to learn about:
- The primary and standard AI terms include neural networks, machine learning, etc.
- Realistic capabilities and limitations of AI
- Identify the chances to use AI for problem-solving in daily life and organization.
3. Artificial Intelligence A-Z – Udemy
This course is especially for you if you aim to create AI systems for self-driving cars and games. It teaches Q-learning, a reinforcement learning widely used in real-world AI applications. But it would be best if you had some basic understanding of maths and Python already to follow up with this course
This course offers to learn about:
- Build an AI
- Understand the theory behind Artificial Intelligence.
- Make a virtual Self Driving Car
- Make an AI to beat games
- Solve Real World Problems with AI and more
4. Machine Learning Mastery
This course is a blog created and managed by Dr Jason Brownlee, PhD, a software engineer and research scientist. He recognizes beginners’ challenges while diving into machine learning; hence, his blog is beginner-friendly. It also incorporates lessons from Brownlee’s struggles, providing valuable guidance for those starting their machine-learning journey. With Dr. Brownlee’s expertise, the blog becomes a go-to spot for getting a grip on the basics of machine learning. It is like having a trustworthy guide to lead you through the early stages of machine learning.
5. TensorFlow
Google made TensorFlow, an open-source platform that covers everything about machine learning. It offers a wide range of tools, library and community support, making it a flexible ecosystem. It is designed for researchers to advance their machine learning and for developers to rapidly create and launch Machine Learning-based applications.
Features of TensorFlow:
- Open source library
- Easy to run
- Fast debugging
- Flexibility
- Easy experimentation
6. Deep Learning With Python
“Deep Learning with Python” is a book by François Chollet, the creator of Keras and a researcher at Google AI. It teaches deep learning with Python and the substantial Keras library. This book focuses on explanations and practical examples for better understanding while covering challenging concepts like applications in computer vision, natural language processing, generative models and much more. The book aims to equip readers with the knowledge and hands-on skills to use deep learning in their projects by the time they finish reading.
Features of this book:
- Deep learning from basic principles.
- Setting up your deep-learning environment.
- Models for classification of images.
- Using deep learning for working with text and sequences.
7. Knowledge-Based AI: Cognitive Systems By Udacity
This course by Udacity is free and covers advanced topics in AI, like structured knowledge representations, problem-solving methods, planning, decision-making, and various learning techniques. This course is designed to be challenging, requiring some real independent work from the students. This course helps you understand representations, processes, fundamental architectures for building knowledge-based AI agents, and more. Once you finish this course, you’ll get a certificate too.
8. Fundamentals Of Artificial Intelligence By NPTEL
This 25-hour NPTEL course (National Programme on Technology Enhanced Learning). This course gives a general idea about how AI works, its practical uses to solve real-life problems, and basic artificial intelligence knowledge. It’s available on NPTEL, making it easy for anyone to access the course.
The course syllabus includes:
- AI and AI Problem Solving
- Problem Solving by Search
- Knowledge Representation and Reasoning
- Reasoning under Uncertainty
- Planning
9. AI Experts To Follow
Artificial intelligence and deep learning are improving and fancier daily with many valuable applications. Hundreds of scientists and engineers share their ideas and discoveries daily by posting their papers on arXiv, an open-access archive with nearly 2.4 million articles on artificial intelligence and other subjects, creating a dynamic and innovative community. To stay updated, you can follow well-known AI engineers and entrepreneurs on various online platforms.
Some of the famous names are –
- Jeremy Howard
- Andrew Ng
- Andrej Karpathy
- Yann LeCun
- Fei-Fei Li
10. Academic Programs
Not only video courses, books and blogs, but several universities provide top-notch computer science, data science, and machine learning degree programs. Their programs offer a structured approach to entering the field of artificial intelligence with a bunch of skills and knowledge. It is about gaining knowledge and picking up a whole set of abilities that prepare and keep you updated in the constantly evolving AI landscape.
Some of the Top AI institutions and programs in India are:
- Manipal Academy of Higher Education, Manipal
- VIT-AP University
- VIT Bhopal University
- Cochin University of Science and Technology, Kochi
