TL;DR
Choosing the right AI course depends on your goals and background. Beginners can start with basic AI or Python courses, while those with coding experience can move to machine learning and deep learning programmes. Amity University Online offers options like a Certificate in AI and Deep Learning using Python and an MCA in Machine Learning & AI. Both combine theory, hands-on projects, and internship support. Look for flexible, practical, and industry-recognised programmes that help you gain real-world skills and prepare for roles in AI development, data science, and automation.
Artificial intelligence (AI) is changing the world faster than ever before. From mobile phones that understand your voice to cars that drive themselves, AI is everywhere. You see it in shopping apps, online learning platforms, hospitals, and even in the entertainment you watch. Because AI is growing so quickly, learning it can open many new career paths for you. In fact, by 2025, nearly 97 million people are expected to work in the field of artificial intelligence. But there’s one big question: which is the best course to learn AI technology?
In this blog, you will get to know what AI courses you can opt for and how to find the best AI courses online for yourself.
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How to Choose the Best AI Course for Yourself
There are thousands of AI technology courses online and offline. But not all of them are suitable for your level. Here’s how you can find the right one for yourself:
1. Know Your Level
If you are a beginner, choose a foundation AI for beginners course that starts with the basics like programming, maths, and simple ML. If you already know some programming or data science, go for an advanced course focusing on deep learning or natural language learning or NLP.
2. Check the Course Structure
Look for a course that covers all the main areas of AI, from basics to practical applications. The course should include both theory and hands-on projects.
3. Focus on Practical Learning
AI is best learnt by doing. Choose an online AI training course that allows you to code, experiment, and create real models.
4. Find Courses with Mentorship or Community Support
Sometimes you’ll face problems while coding or understanding concepts. Courses with mentors, tutors, or student communities are more helpful.
5. Check Duration and Flexibility
If you are working or studying, choose a self-paced course that allows you to learn anytime.
Full-time students can choose more structured or bootcamp-style courses for faster results.
6. Read Reviews and Student Feedback
Before joining any course, check what previous students say about it. Feedback helps you understand if the course is easy to follow and worth your time.
7. Look for Certification
While skills matter more than certificates, a recognised certificate can still help you when applying for jobs or internships.
Also Read:- AI Courses: Unlocking the Future of Technology and Innovation
Top Courses to Learn AI Technology
Here are some of the top AI courses 2026 you can opt for:
Course | What It Covers / Highlights | Good For / Strengths | Things to Watch Out For |
Generative AI | Focuses on generative AI tools (like text or image generation), and large language models. | If you want to work with newer AI (chatbots, image synth) or use AI tools, prompt engineering etc. | Might skip over deeper math, algorithms. Mostly applied / use-case oriented. |
MCA in AI & ML Courses with Python | These teach programming in Python, fundamental ML (regression, classification, clustering, neural networks). | If you want hands-on building skills for engineering / technical roles. | Requires effort in coding, and sometimes takes more time. |
Deep Learning Specialisation | Neural networks, like convolutional neural networks (CNNs) for images, recurrent neural networks (RNNs) for sequences, and advanced topics. | If you aim for image/video/audio tasks, computer vision, speech or advanced ML. | More math, tougher concepts; slower progress. |
NLP / Language Models / Transformers | Courses focused on natural language processing: tokenisation, embeddings, transformer architectures, and recent LLMs. | If you are interested in chatbots, translation, voice assistants or text processing jobs. | Can be complex; large models require strong computing or cloud access. |
AI Engineering Certificate / Professional AI certification programmes | A combination of theory, practice and projects. Covers ML, deep learning, and deployment (sometimes). | If you want a more complete skillset, build a portfolio and apply for jobs. | Cost can be high; with larger time commitment |
Why Amity University Online’s AI Courses Are a Great Choice
Amity University Online offers flexible and industry-relevant programmes that balance theory with real-world skills. The courses are designed for students, graduates, and working professionals who wish to learn artificial intelligence practically without leaving their jobs.
1. Certificate in Artificial Intelligence and Deep Learning using Python
Duration: Around 40 hours
Level: Beginner-friendly
Focus Areas:
- Machine Learning Fundamentals
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Natural Language Processing (NLP)
- Computer Vision and Video Analytics
Tools Covered: Python, TensorFlow, and SQL
Why it’s good:
- Step-by-step learning from basics to advanced topics
- Hands-on projects that teach you how AI works in real business scenarios
- A recognised industry certificate that adds value to your resume
2. MCA with Specialisation in Machine Learning and Artificial Intelligence
Duration: 2 years
Level: Postgraduate
Focus Areas:
- Machine Learning algorithms
- Data analysis and predictive modelling
- Deep Learning and AI development
- Real-world projects and virtual placement drives
Why it’s good:
- Strong academic foundation with professional exposure
- Opportunity to work on live case studies and data-driven projects
- Placement and career support through Amity’s corporate network
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Conclusion
The best AI course is the one that matches your goals and learning style. If you are starting out, begin with a simple introduction to AI. If you already know programming, move on to machine learning or deep learning courses. For career growth, choose a full professional certification that includes projects and practice. Whatever you pick, stay consistent and curious. AI is not only about coding; it can solve real problems and create value.
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