What are the top 10 online courses for high-income AI skills in 2024?
Last Updated: 01.07.2025 10:16
The course is ideal for engineers who have plans to build careers in robotics and automation
2. Udemy offers Artificial Intelligence A-Z courses:
NLP skills are applied in AI applications like Google Assistant, Search engine, and AI chatbots.
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These skills are highly valued by recruiters for developing scalable business solutions, recommendation systems, and AI optimization
6. Coursera offers Machine Learning Engineering for Production course:
This specialization course provides insights from AI leading educator Andrew Ng
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Within the course, you will learn ethical AI, AI implementation, and AI strategies.
8. Coursera offers an Advanced Computer Vision with TensorFlow course:
4. Coursera offers Deep Learning Specialization course:
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This course is offered in collaboration with AWS and DeepLearning AI
This course is ideal for professionals who want to be managers, consultants, or entrepreneurs
1. Logicmojo offers an Artificial Intelligence course
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The course explains to you how companies like Fortune 500 integrate AI.
In India computer vision engineers can earn up to 17 to 23 LPA in domains like healthcare and robotics
9. Udemy offers AI for Business course:
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Also you will get career guidance, mock interviews, and referrals to top companies.
The course is curated and explained by DeepMind experts, ideal for game developers and AI researchers.
10. Udacity offers a reinforcement Learning course
With this expertise, you can transform into a career like AI specialist, RL engineer, and AI solution Architect.
Here are the top 10 courses to learn in-demand Artificial Intelligence skills:
Final words:
The course equips you with the skills including Text summarization, sentimental analysis, and GPT
The courses explain Model deployment, Kubernetes, and ML pipelines.
You will learn through bite-sized interactive sessions covering Python, ML, Deep learning, NLP, computer vision, and neural networks
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You will learn the skills including Claude, Llama, and Prompt Engineering
These skills are in high demand for Deep Learning roles offering salaries around 15 to 20 LPA in India.
This course is curated by Google experts, covering topics like feature engineering, Model evaluation, and Google Cloud AI tools
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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.
There is a high demand for GenAI and LLM skills at companies like Google and OpenAI.
3. Google offers a Machine Learning crash course
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This course equips you with skills like robotics control and deep learning
These skills are very crucial to get into the domains like gaming, robotics, and marketing
Machine Learning engineers are highly valued by recruiters for developing ML and AI models.
Reinforcement learning experts are in high demand in domains like finance, robotics, and gaming.
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 earn the fundamentals of deep learning to break intothe AI field
5. Coursera offers Generative AI with Large Language Models course:
7. Natural Language Processing with Deep Learning 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 explains to you Object detection, image segmentation, and Vision Transformer. It offers hands-on projects with real-world datasets.
These technologies are widely used by FAANG companies offering salaries around 16 to 22 LPA for skilled professionals.
Logicmojo offers professional-level courses with job-ready skills and industry alignment.
The course focuses on skills like supervised learning, reinforcement learning, deep learning, and model optimization.
The course is ideal for transitioning to higher-level roles like ML engineers and AI engineers
Learn industry skills like Neural networks, CNNs, Transformers, TensorFlow, and deep learning