Google Cloud is offering a wide range of free Artificial Intelligence (AI) and Machine Learning courses designed for beginners, developers, engineers, data scientists, and business professionals looking to build practical AI skills using Google’s latest technologies.
The learning paths cover Generative AI, Machine Learning, Vertex AI, TensorFlow, BigQuery, Gemini for Google Workspace, MLOps, conversational AI, and more.
About the Google AI Courses
Google’s AI learning platform provides flexible online training that helps learners understand artificial intelligence concepts while gaining practical experience using Google Cloud technologies.
The courses are self-paced and suitable for learners at different experience levels, from complete beginners to advanced AI developers.
Free Learning Paths
Google offers Generative AI learning paths for every skill level, including:
- Introduction to Generative AI
- Deploy and Manage Generative AI Models
- Generative AI for Developers
These learning paths introduce learners to modern AI concepts, large language models, prompt engineering, model deployment, and AI application development.
Machine Learning Courses
Learners can also enroll in practical machine learning courses including:
- Introduction to AI and Machine Learning on Google Cloud
- Launching into Machine Learning
- TensorFlow on Google Cloud
- Machine Learning Operations (MLOps) for Generative AI
- Build and Deploy Machine Learning Solutions on Vertex AI
- Perform Foundational Data, ML and AI Tasks in Google Cloud
- Create Conversational AI Agents with Dialogflow CX
Google Workspace AI Courses
Professionals looking to improve workplace productivity can take free courses on Gemini for Google Workspace, including:
- Introduction to Gemini for Google Workspace
- Gemini in Gmail
- Gemini in Google Docs
- Gemini in Google Slides
- Gemini in Google Sheets
- Gemini in Google Meet
- Gemini in Google Drive
These courses demonstrate how AI can improve collaboration, communication and productivity across Google’s workplace applications.
Skills You Will Learn
Participants can develop skills in:
- Artificial Intelligence
- Generative AI
- Machine Learning
- TensorFlow
- Vertex AI
- BigQuery
- BigQuery ML
- Cloud Dataflow
- Cloud DataFusion
- Kubeflow Pipelines
- Dialogflow CX
- Machine Learning Operations (MLOps)
- AI model deployment
- Conversational AI
- Prompt engineering
Who Can Apply?
The courses are suitable for:
- Beginners
- University students
- Recent graduates
- Software developers
- Data scientists
- Machine learning engineers
- Cloud engineers
- IT professionals
- Researchers
- Business professionals
- Anyone interested in Artificial Intelligence
Course Benefits
Participants can benefit from:
- Free online learning
- Self-paced study
- Practical AI training
- Hands-on machine learning experience
- Google Cloud learning resources
- Industry-recognized skill badges for selected courses
- Preparation for Google Cloud Machine Learning certification
- Career-ready AI and cloud computing skills
Google Cloud Machine Learning Certification
Learners can also prepare for the Google Cloud Machine Learning certification, which validates knowledge in:
- Designing machine learning solutions
- Deploying AI models
- Managing machine learning systems
- Scaling production models
- Building low-code machine learning solutions
GEAR Learning Community
Google also offers the Gemini Enterprise Agent Ready (GEAR) community where learners can:
- Learn alongside AI developers
- Access learning resources
- Build and scale AI agents
- Receive monthly learning credits for eligible Google Skills resources
How to Get Started
Interested learners should:
- Visit Google Cloud Training.
- Select an AI learning path based on their experience level.
- Register for free.
- Complete the self-paced courses.
- Earn available skill badges and continue toward certification if desired.
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