The AI with Google Cloud course introduces participants to the fundamentals of the artificial intelligence ecosystem at Google Cloud and the key tools, services and platforms for AI development. This course is designed to provide professionals with the necessary knowledge and practical skills to develop, deploy and manage AI applications using Google Cloud’s AI products. This course introduces participants to innovation and transformation through Google Cloud AI tools, Google Cloud AI platforms, Google Cloud AI models, Google Cloud AI pipelines and Google Cloud AI infrastructure.
This Google Cloud AI training course is specially organized by Oxford Training Center to help participants gain hands-on experience in developing AI that will enable them to build scalable and ethical AI solutions. It also provides insights into Google Cloud AI Governance, Google Cloud AI Security and Google Cloud AI Compliance to ensure that AI projects adhere to industry standards and best practices.
Objectives and Target Group
Objectives
- Gain a comprehensive understanding of Google Cloud AI and its real-world applications.
- Develop expertise in Google Cloud AI services, including Vertex AI, AutoML, and AI Platform, for machine learning model development.
- Learn how to leverage Google Cloud AI APIs to integrate AI capabilities such as Natural Language Processing (NLP), Vision AI, and Speech-to-Text services into applications.
- Master Google Cloud AI architecture to design and implement efficient and scalable AI solutions.
- Understand Google Cloud AI security protocols to ensure robust and compliant AI implementations.
- Explore ethical AI development, focusing on bias mitigation, fairness, transparency, and accountability in AI applications.
- Gain hands-on experience in deploying and managing AI models using Google Cloud AI operations and monitoring tools.
- Discover strategies for business innovation, transformation, and growth using AI-driven insights from Google Cloud.
Target Group
This Google Cloud AI certification course is designed for a wide range of professionals who want to enhance their AI expertise using Google Cloud’s ecosystem, including:
- AI Developers and Machine Learning Engineers looking to enhance their skills with Google Cloud AI solutions.
- Data Scientists and Analysts aiming to leverage Google Cloud AI products for data-driven decision-making.
- Software Engineers and Application Developers interested in integrating Google Cloud AI APIs into applications.
- Cloud Architects and IT Professionals responsible for designing and managing Google Cloud AI infrastructure.
- Business and AI Strategy Consultants who want to explore Google Cloud AI transformation and Google Cloud AI sustainability in enterprise settings.
- Students and Academics seeking foundational knowledge in Google Cloud AI essentials for research and innovation.
Course Content
- Introduction to Google Cloud AI
- Overview of Google Cloud AI fundamentals and ecosystem
- Understanding Google Cloud AI platforms and services
- Google Cloud AI vs. other cloud AI solutions
- Building AI Models with Google Cloud
- Introduction to Google Cloud AI machine learning course tools
- Hands-on training with Vertex AI and AutoML
- Model training and evaluation techniques
- Leveraging Google Cloud AI APIs
- Working with Vision AI, NLP, and Speech AI
- Implementing AI-driven chatbots and virtual assistants
- Integrating AI services into cloud-based applications
- Google Cloud AI Infrastructure and Deployment
- Best practices in Google Cloud AI architecture
- Model deployment and Google Cloud AI operations
- Monitoring AI performance with Google Cloud tools
- AI Security, Governance, and Compliance
- Addressing Google Cloud AI security risks
- Ensuring Google Cloud AI compliance and governance
- Ethical AI considerations: Google Cloud AI fairness, transparency, and accountability
- Advanced AI Applications and Future Trends
- Exploring Google Cloud AI innovation in various industries
- Case studies of successful Google Cloud AI transformation
- Future advancements in Google Cloud AI sustainability and responsible AI practices.