What are the top 10 online courses for high-income AI skills in 2024?
Last Updated: 28.06.2025 00:48
You will earn the fundamentals of deep learning to break intothe AI field
This course equips you with skills like robotics control and deep learning
Machine Learning engineers are highly valued by recruiters for developing ML and AI models.
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This course is curated by Google experts, covering topics like feature engineering, Model evaluation, and Google Cloud AI tools
You will learn through bite-sized interactive sessions covering Python, ML, Deep learning, NLP, computer vision, and neural networks
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1. Logicmojo offers an Artificial Intelligence course
The course explains to you how companies like Fortune 500 integrate AI.
This course is ideal for professionals who want to be managers, consultants, or entrepreneurs
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2. Udemy offers Artificial Intelligence A-Z courses:
The course is ideal for engineers who have plans to build careers in robotics and automation
These technologies are widely used by FAANG companies offering salaries around 16 to 22 LPA for skilled professionals.
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The above courses offer a comprehensive curriculum to enhance your expertise and employability. Whether you are just starting out or professional these courses will help you gain crucial skills and knowledge to excel in various AI roles across industries. With the right mindset and tailored course you can position your future self in a high-income position in this ever-evolving field.
You will learn the skills including Claude, Llama, and Prompt Engineering
Reinforcement learning experts are in high demand in domains like finance, robotics, and gaming.
Logicmojo offers professional-level courses with job-ready skills and industry alignment.
6. Coursera offers Machine Learning Engineering for Production course:
In India computer vision engineers can earn up to 17 to 23 LPA in domains like healthcare and robotics
Here are the top 10 courses to learn in-demand Artificial Intelligence skills:
10. Udacity offers a reinforcement Learning course
NLP skills are applied in AI applications like Google Assistant, Search engine, and AI chatbots.
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You will learn to deploy ML models in the real world. AI professionals with these skills often start with salaries of around 18 to 25 LPA in AI-driven companies.
The course explains to you Object detection, image segmentation, and Vision Transformer. It offers hands-on projects with real-world datasets.
These skills are very crucial to get into the domains like gaming, robotics, and marketing
4. Coursera offers Deep Learning Specialization course:
3. Google offers a Machine Learning crash course
The course is ideal for transitioning to higher-level roles like ML engineers and AI engineers
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This course is offered in collaboration with AWS and DeepLearning AI
These skills are in high demand for Deep Learning roles offering salaries around 15 to 20 LPA in India.
8. Coursera offers an Advanced Computer Vision with TensorFlow course:
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Also you will get career guidance, mock interviews, and referrals to top companies.
There is a high demand for GenAI and LLM skills at companies like Google and OpenAI.
7. Natural Language Processing with Deep Learning course:
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This specialization course provides insights from AI leading educator Andrew Ng
The course is curated and explained by DeepMind experts, ideal for game developers and AI researchers.
Data scientists and AI researchers with this expertise are landing jobs with salaries up to 20 to 30 LPA even with a couple of years of experience.
Learn industry skills like Neural networks, CNNs, Transformers, TensorFlow, and deep learning
Within the course, you will learn ethical AI, AI implementation, and AI strategies.
9. Udemy offers AI for Business course:
5. Coursera offers Generative AI with Large Language Models course:
With this expertise, you can transform into a career like AI specialist, RL engineer, and AI solution Architect.
These skills are highly valued by recruiters for developing scalable business solutions, recommendation systems, and AI optimization
The course equips you with the skills including Text summarization, sentimental analysis, and GPT
The courses explain Model deployment, Kubernetes, and ML pipelines.
The course focuses on skills like supervised learning, reinforcement learning, deep learning, and model optimization.