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- Data Scientist/ ML Engineer
- Contact Center Engineer
Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution?1
Learn how to implement the latest machine learning and artificial intelligence technology by exploring training on Vertex AI, BigQuery, TensorFlow, Cloud Vision, Natural Language API, and more. These courses can help you prepare for job roles like Data Scientist, Machine Learning Engineer, or Contact Center engineer.
Data Scientist / Machine Learning Engineer learning path
A Data Scientist models and analyzes key data to continually improve how businesses utilize data. Data Scientists aim to make accurate predictions about the future using in-depth data modeling and deep learning. Visit Google Cloud Skills Boost for the latest recommended role-based learning activities.
Course
Big Data & Machine Learning Fundamentals
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Perform Foundational Data, ML, and AI Tasks in Google Cloud
Course
Machine Learning on Google Cloud
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Advanced Machine Learning with TensorFlow on Google Cloud Platform
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MLOps (Machine Learning Operations) Fundamentals
Course
ML Pipelines on Google Cloud
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Build and Deploy Machine Learning Solutions on Vertex AI
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Create Conversational AI Agents with Dialogflow CX
Related information
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What you'll learn
TensorFlow, AI Platform Notebooks, Cloud Dataflow, Cloud DataFusion, Vertex AI, BigQuery, BigQuery ML, Cloud ML APIs, Kubeflow Pipelines
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Contact Center Engineer
Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You'll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale. Visit Google Cloud Skills Boost for the latest recommended role-based learning activities.
Course
Contact Center AI: Conversational Design Fundamentals
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Virtual Agent Development in Dialogflow ES for Citizen Devs
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Virtual Agent Development in Dialogflow ES for Software Devs
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Virtual Agent Development in Dialogflow CX for Citizen Devs
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Virtual Agent Development in Dialogflow CX for Software Devs
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CAI Operations and Implementation
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Automate Interactions with Contact Center AI
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Create Conversational AI Agents with Dialogflow CX
Related information
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What you'll learn
Contact Center Artificial Intelligence, Dialogflow, Natural Language Understanding (NLU)
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Advanced Solutions Lab
The Advanced Solutions Lab is a 4-week, full-time immersive training program in applied machine learning. It provides a unique opportunity for your technical teams to dive into a particular machine learning use case for your business. Attendees learn alongside Google's machine learning experts in a dedicated, collaborative space on Google Campus.
Find out more
Resources
Watch AI and Machine Learning videos from Google Cloud
Put the best of Google's artificial intelligence to work and make the most of your data Learn more about what it takes to build, deploy, and train your ML models
Recommendation systems
Learn how to build a recommendation system using machine learning with TensorFlow
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AI and Machine Learning documentation
Explore all Google Cloud documentation for AI and Machine Learning
Go to docs
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