What are the top 10 online courses for high-income AI skills in 2024?
Last Updated: 30.06.2025 00:51
You will earn the fundamentals of deep learning to break intothe AI field
There is a high demand for GenAI and LLM skills at companies like Google and OpenAI.
Within the course, you will learn ethical AI, AI implementation, and AI strategies.
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5. Coursera offers Generative AI with Large Language Models course:
2. Udemy offers Artificial Intelligence A-Z courses:
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.
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This course is curated by Google experts, covering topics like feature engineering, Model evaluation, and Google Cloud AI tools
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.
Machine Learning engineers are highly valued by recruiters for developing ML and AI models.
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Also you will get career guidance, mock interviews, and referrals to top companies.
1. Logicmojo offers an Artificial Intelligence course
8. Coursera offers an Advanced Computer Vision with TensorFlow course:
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9. Udemy offers AI for Business course:
10. Udacity offers a reinforcement Learning course
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.
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Here are the top 10 courses to learn in-demand Artificial Intelligence skills:
3. Google offers a Machine Learning crash course
This course equips you with skills like robotics control and deep learning
Learn industry skills like Neural networks, CNNs, Transformers, TensorFlow, and deep learning
Reinforcement learning experts are in high demand in domains like finance, robotics, and gaming.
These skills are in high demand for Deep Learning roles offering salaries around 15 to 20 LPA in India.
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The course is ideal for engineers who have plans to build careers in robotics and automation
This specialization course provides insights from AI leading educator Andrew Ng
This course is ideal for professionals who want to be managers, consultants, or entrepreneurs
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The course focuses on skills like supervised learning, reinforcement learning, deep learning, and model optimization.
With this expertise, you can transform into a career like AI specialist, RL engineer, and AI solution Architect.
6. Coursera offers Machine Learning Engineering for Production course:
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The course explains to you Object detection, image segmentation, and Vision Transformer. It offers hands-on projects with real-world datasets.
These skills are highly valued by recruiters for developing scalable business solutions, recommendation systems, and AI optimization
7. Natural Language Processing with Deep Learning course:
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These skills are very crucial to get into the domains like gaming, robotics, and marketing
NLP skills are applied in AI applications like Google Assistant, Search engine, and AI chatbots.
The course equips you with the skills including Text summarization, sentimental analysis, and GPT
Logicmojo offers professional-level courses with job-ready skills and industry alignment.
In India computer vision engineers can earn up to 17 to 23 LPA in domains like healthcare and robotics
These technologies are widely used by FAANG companies offering salaries around 16 to 22 LPA for skilled professionals.
You will learn the skills including Claude, Llama, and Prompt Engineering
You will learn through bite-sized interactive sessions covering Python, ML, Deep learning, NLP, computer vision, and neural networks
Final words:
4. Coursera offers Deep Learning Specialization course:
This course is offered in collaboration with AWS and DeepLearning AI
The course is curated and explained by DeepMind experts, ideal for game developers and AI researchers.
The courses explain Model deployment, Kubernetes, and ML pipelines.
The course is ideal for transitioning to higher-level roles like ML engineers and AI engineers
The course explains to you how companies like Fortune 500 integrate AI.