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AI Courses and Certifications

  • AI Concepts
  • Self-Paced Courses
  • On-Demand Webinars
  • Certification Tracks

Learn AI concepts and follow hands-on exercises with free self-paced courses and on-demand webinars that cover a wide range of AI topics. The content is designed for software developers, data scientists, and students. It provides a great introduction to the optimized libraries, frameworks, and tools that make up the end-to-end Intel® AI software suite.

Explore Software Tools & Resources

AI Concepts

Computer Vision

Learn what computer vision is and how it works.

Generative AI

This subset of AI focuses on creating new, original content, and involves training and deploying AI models to generate data.

AI Inference

Inference is the process by which AI infers information from data.

Machine Learning

This technique is a subset of AI that uses models, or algorithms, to analyze large amounts of complex data.

Transfer Learning

This machine learning technique reuses a previously trained model on a new related model.

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Self-Paced AI Courses

Introduction to Machine Learning

Get an overview of the fundamentals of machine learning on modern Intel® architecture. (12 weeks)

Deep Learning

Learn the basic techniques and foundations of deep learning on modern Intel architecture. (12 weeks)

Introduction to AI

Explore the fundamentals of AI—without the math—in this introductory course. (8 weeks)

Applied Deep Learning with TensorFlow*

Master the basics of using this platform with Intel architecture. (8 weeks)

Natural Language Processing

Get an overview of how machines process and classify textual information. (8 weeks)

Time-Series Analysis

To predict future data, study the techniques used to analyze and process sequential data. (8 weeks)

Deep Learning for Robotics

Find out how to use deep learning instead of traditional robotics algorithms in this course from Arizona State University. (4 weeks)

Anomaly Detection

Combine machine learning and statistics to solve this vital component of many industrial applications. (8 weeks)

AI on PC

Overcome the challenges of AI on edge devices using Windows* machine learning, Open Neural Network Exchange (ONNX*), and Intel® Distribution of OpenVINO™ toolkit on Intel hardware. (8 weeks)

AI on the Edge with Computer Vision

Learn how to use the Intel® Movidius™ Neural Compute Stick (NCS) for deep learning inference on edge devices.

Deep Learning Inference with Intel® FPGAs

Master how to engineer high-speed, machine learning inference applications on powerful Intel® FPGAs. (5 weeks)

AI from the Data Center to the Edge

Follow a hands-on approach to understand the data science workflow using the Intel® AI Portfolio of processors and optimized software.

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On-Demand Webinars

Speed Up Machine Learning Training on CPUs with AI Tools

Optimize AI Workloads: Five Use Cases to Reduce the Learning Curve

Use New Features in Intel® Extension for TensorFlow* on CPU & GPU

AI Performance Tuning : Maximize the Potential of Intel Hardware

Compressing the Transformer: Optimize Your DistilBERT Models

Optimize Transformer Models with Intel and Hugging Face* Tools

Develop Efficient AI Solutions with Accelerated Machine Learning

Optimize PyTorch* Performance on the Latest Intel CPUs and GPUs

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Intel® Certified Developer—MLOps Professional

Learn this crucial skill through on-demand course material, hands-on labs, a Capstone project, and sessions with experts from Intel. Gain industry-recognized credentials upon passing the professional certification exam.

Learn More

Do you have AI questions? Get support from Intel and the community.

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Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration and other factors. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

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