Introduction to AI and Machine Learning
By External Provider
About this course
Ready to witness the future of technology? AI and Machine learning are more than buzzwords—they drive industry innovation. This foundational course for the AWS Certified AI Practitioner Specialization uses hands-on practice and real-world applications to make learning more relevant. You'll learn about Supervised and Unsupervised learning, ML algorithms, Neural networks, Deep Learning, Natural Language Processing, computer vision, and important data approaches like Feature engineering and Data wrangling through engaging videos and guided demos. Unlike passive theory-based courses, this AWS AI Practitioner training course enables you to apply principles using Amazon SageMaker for training, deployment, and optimization, making your learning more practical and meaningful. This course is appropriate for both beginners and professionals who want to strengthen or refresh their knowledge of AI and machine learning. In the end, you'll be able to successfully use AWS, apply ML approaches, explore advanced topics, and acquire hands-on experience developing and deploying models with Amazon SageMaker.
What you will learn
- Understand core AI concepts, including AI models, components, and real-world applications.
- Master deep learning, neural networks, Natural Language Processing (NLP), computer vision, and AI inferencing techniques.
- Explore machine learning techniques, from supervised and unsupervised learning to key algorithms, feature engineering, and reinforcement learning.
- Get started with AWS tools like SageMaker for model building