Introduction to AI and Machine Learning on Google Cloud Course Overview
The 'Introduction to AI and Machine Learning on Google Cloud' course provides essential insights into leveraging AI technologies and machine learning algorithms. Designed for data scientists, software engineers, and business analysts, this course equips professionals with the skills to harness Google Cloud's powerful tools, driving innovation and efficiency across various industries.
Course outline & what you'll learn
- Definitions and key concepts
- History and evolution of AI and ML
- Google Cloud Platform (GCP) services
- Infrastructure for AI and ML on GCP
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Key algorithms and their applications
- TensorFlow and its integration with GCP
- Google Cloud AI Platform
- Data collection and storage options in GCP
- Data preprocessing techniques and best practices
- Model training and evaluation
- Hyperparameter tuning
- Model deployment strategies on GCP
- Monitoring and maintaining models in production
- Fairness, accountability, and transparency
- Responsible AI practices
- Practical exercises using GCP tools
- Case studies of AI and ML implementations in various industries
- Resources for further learning
- Career paths in AI and Machine Learning
Why train with Traincrest
This Google Cloud course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.