Artificial Intelligence (AI) is now one of the most in-demand skills across tech, business, and data careers. Whether you’re a beginner or someone upgrading skills, online platforms like Udemy, Coursera, edX, and LinkedIn Learning offer high-quality, affordable courses that help you learn AI step-by-step.
Below is a simple breakdown of what AI courses usually include and why these learning paths are worth it.
What You’ll Learn in AI Courses
- What AI is and how it works
- Machine learning basics
- Deep learning and neural networks
- Real-world AI projects
- Tools like Python, TensorFlow & PyTorch
- How AI is used in business
- Ethics, risks, and limitations of AI
Who These Courses Are For
- Beginners who want to understand AI from scratch
- Students preparing for AI/ML roles
- Working professionals upgrading skills
- Business owners exploring AI automation
- Anyone curious about the future of technology
Why Online AI Courses Are Worth It
- Structured lessons made easy to understand
- Learn at your own pace
- Affordable compared to offline institutes
- Hands-on projects to build confidence
- Globally recognized certificates
Frequently Asked Questions (FAQs)
1. Do I need coding skills to start learning AI?
Not always. Many beginner AI courses start with basics and slowly introduce coding. Later, for ML and Deep Learning, Python is helpful.
2. Which platform is best for learning AI?
Udemy is great for budget-friendly, practical courses.
Coursera is good for university-level programs.
Both are excellent depending on your learning style.
3. How long does it take to learn AI?
Beginners usually take 1–3 months to understand basics.
Becoming job-ready can take 6–12 months with consistent practice.
4. Can I get a job after completing AI courses?
Yes — if you combine courses with real projects, GitHub portfolio, and basic Python + ML skills.
5. Are AI courses expensive?
Udemy offers low-cost courses with lifetime access.
Coursera offers free auditing + paid certification options.
6. Do these courses include hands-on projects?
Yes. Most AI courses include projects like prediction models, classification, NLP, or neural networks.
7. Is AI difficult to learn?
It’s not difficult if you start step-by-step. With consistent practice, anyone can learn AI.
Introduction to AI for Business
What you’ll learn
- Participants will have an overview of what predictive data analytics are, which AI software are available and how can they improve the business performance and how Microsoft is using this technology.
Duration: 9hr 30min
Rating: 4.5 (588 ratings) out of 5
Trainer: Zigurat Innovation & Technology Business School
Artificial Intelligence A-Z 2026: Build 5 AI (incl. ChatGPT)
***(Best Course to Learn AI)***
What you’ll learn
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Build an AI
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Understand the theory behind Artificial Intelligence
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Make a virtual Self Driving Car
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Make an AI to beat games
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Solve Real World Problems with AI
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Master the State of the Art AI models
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Q-Learning
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Deep Q-Learning
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Deep Convolutional Q-Learning
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A3C
Artificial Intelligence: Reinforcement Learning in Python
What you’ll learn
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Apply gradient-based supervised machine learning methods to reinforcement learning
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Understand reinforcement learning on a technical level
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Understand the relationship between reinforcement learning and psychology
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Implement 17 different reinforcement learning algorithms
Introduction to Artificial Intelligence in Software Testing
What you’ll learn
- You will learn what is Artificial Intelligence (AI) and what is the relationship of AI with Machine Learning and Deep Learning.
- You will also learn how AI test automation tool uses machine learning to speed-up the authoring, execution and maintenance of automated tests.
Duration: 30min Rating: 4.0 (665 ratings) out of 5 Trainer: Sujal Patel
Artificial Intelligence Markup Language (AIML)
What you’ll learn
- How to use AIML (Artificial Intelligence Markup Language) to create your own chatbot
Duration: 3hr 42min
Rating: 4.6 (824 ratings) out of 5
Trainer: Steve Worswick
Kickstart Artificial Intelligence
What you’ll learn
- Students will be able to apply Artificial Intelligence in real world tasks and will be able to build fully functioning AI solutions on their own.
Duration:3hr 5min
Rating:4.5 (206 ratings) out of 5
Trainer:Kashyap Murali
Introduction to Artificial Intelligence (AI)
What you’ll learn
- Understand what is AI, its applications and use cases and how it is transforming our lives
- Explain terms like Machine Learning, Deep Learning and Neural Networks
- Describe several issues and ethical concerns surrounding AI
- Articulate advice from experts about learning and starting a career in AI
Duration: 10 hours
Rating: 4.7 (2,229 ratings) out of 5
Trainer: Rav Ahuja
IBM AI Engineering Professional Certificate
What you’ll learn
- You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning.
- You will be able to scale Machine Learning on Big Data using Apache Spark.
- You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders
Duration: 30 hours
Rating: 4.8 (8,448 ratings) out of 5
Trainer: SAEED AGHABOZORGI, Joseph Santarcangelo, Romeo Kienzler, Alex Aklson
AI For Everyone
What you’ll learn
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can–and cannot–do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Duration: 10 hours
Rating: 4.8 (9,272 ratings) out of 5
Trainer: Andrew Ng
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