What are the top 10 online courses for high-income AI skills in 2024?
Last Updated: 02.07.2025 06:28
Also you will get career guidance, mock interviews, and referrals to top companies.
9. Udemy offers AI for Business course:
This specialization course provides insights from AI leading educator Andrew Ng
This course is curated by Google experts, covering topics like feature engineering, Model evaluation, and Google Cloud AI tools
These skills are in high demand for Deep Learning roles offering salaries around 15 to 20 LPA in India.
These technologies are widely used by FAANG companies offering salaries around 16 to 22 LPA for skilled professionals.
The courses explain Model deployment, Kubernetes, and ML pipelines.
3. Google offers a Machine Learning crash course
This course is offered in collaboration with AWS and DeepLearning AI
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4. Coursera offers Deep Learning Specialization course:
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.
The course is curated and explained by DeepMind experts, ideal for game developers and AI researchers.
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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.
7. Natural Language Processing with Deep Learning course:
Logicmojo offers professional-level courses with job-ready skills and industry alignment.
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2. Udemy offers Artificial Intelligence A-Z courses:
These skills are highly valued by recruiters for developing scalable business solutions, recommendation systems, and AI optimization
Here are the top 10 courses to learn in-demand Artificial Intelligence skills:
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1. Logicmojo offers an Artificial Intelligence course
These skills are very crucial to get into the domains like gaming, robotics, and marketing
The course explains to you how companies like Fortune 500 integrate AI.
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In India computer vision engineers can earn up to 17 to 23 LPA in domains like healthcare and robotics
You will earn the fundamentals of deep learning to break intothe AI field
8. Coursera offers an Advanced Computer Vision with TensorFlow course:
NLP skills are applied in AI applications like Google Assistant, Search engine, and AI chatbots.
You will learn through bite-sized interactive sessions covering Python, ML, Deep learning, NLP, computer vision, and neural networks
The course is ideal for engineers who have plans to build careers in robotics and automation
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Reinforcement learning experts are in high demand in domains like finance, robotics, and gaming.
Machine Learning engineers are highly valued by recruiters for developing ML and AI models.
This course equips you with skills like robotics control and deep learning
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The course is ideal for transitioning to higher-level roles like ML engineers and AI engineers
Within the course, you will learn ethical AI, AI implementation, and AI strategies.
There is a high demand for GenAI and LLM skills at companies like Google and OpenAI.
The course equips you with the skills including Text summarization, sentimental analysis, and GPT
Learn industry skills like Neural networks, CNNs, Transformers, TensorFlow, and deep learning
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.
This course is ideal for professionals who want to be managers, consultants, or entrepreneurs
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.
5. Coursera offers Generative AI with Large Language Models course:
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6. Coursera offers Machine Learning Engineering for Production course:
10. Udacity offers a reinforcement Learning course
You will learn the skills including Claude, Llama, and Prompt Engineering
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.