Explore industry-recognized certifications from top providers. Whether you're just starting or looking to advance your career, we've curated the best AI learning paths for you.
Perfect for getting started in AI
Stanford / DeepLearning.AI
Build ML models with NumPy and TensorFlow. Taught by Andrew Ng.
Amazon Web Services
Foundation-level certification for individuals who want to demonstrate understanding of AI/ML concepts and AWS AI services.
Coursera (DeepLearning.AI)
Master fundamental AI concepts and gain practical experience with supervised learning, unsupervised learning, and deep learning. Created by Andrew Ng.
Build on your foundation and specialize
Demonstrate practical machine learning skills with TensorFlow.
NVIDIA
Hands-on training in AI, accelerated computing, and data science.
IBM
Master deep learning, machine learning, and neural networks with hands-on projects.
DeepLearning.AI / AWS
Learn the fundamentals of generative AI for real-world applications.
DeepLearning.AI / Coursera
Master deep learning fundamentals and build neural networks. Taught by Andrew Ng.
Microsoft
Apply machine learning techniques to train, evaluate, and deploy models using Azure Machine Learning.
Microsoft
Design and implement AI solutions using Azure Cognitive Services, Azure AI services, and Azure Applied AI.
Microsoft
Design and implement Azure AI solutions using Cognitive Services, Machine Learning, and Knowledge Mining.
Coursera (DeepLearning.AI)
Master deep learning fundamentals: neural networks, CNNs, RNNs, optimization, and deployment. Build career in AI.
Demonstrate your proficiency in using TensorFlow to solve deep learning and ML problems. Industry-recognized certification from Google.
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Expert-level credentials for AI professionals
Amazon Web Services
Validate your ability to design, implement, deploy, and maintain machine learning solutions on AWS.
Google Cloud
Design, build, operationalize, secure, and monitor data processing systems with Google Cloud technologies.
Google Cloud
Demonstrate your ability to design, build, and productionize ML models to solve business challenges using Google Cloud technologies.
Amazon Web Services
Validate your ability to design, implement, deploy, and maintain ML solutions for given business problems on AWS.
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