Course Highlights
- This Google Cloud Generative AI course is designed to equip learners with comprehensive knowledge and skills in generative AI, spanning beginner, intermediate, and advanced levels.
- Beginner level learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
- The Intermediate level learning path is - The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities. Gemini provides a natural language chat interface which you can quickly chat with to get answers to cloud questions or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Gemini can help complete your code while you write, or generate code blocks based on comments. This learning path provides guidance for multiple roles, including developers, data analysts, cloud engineers, architects, and security engineers.
- An advanced level learning path is - A Generative AI Learning Path with a technical focus, built for App Developers, Machine Learning Engineers, and Data Scientists.
- Recommended prerequisite: Introduction to Generative AI learning path.
- Job Roles:
- Developers - App Development, Code Generation and Completion
- Data Analysts - Data Querying, Analysis Automation
- Cloud Engineers - Cloud Integration, Infrastructure Management
- Architects - System Design, Best Practices Guidance
- Security Engineers - AI Security Measures, Risk Management
- Machine Learning Engineers - Model Building, Optimization Techniques
- Data Scientists - Advanced Data Analysis, Predictive Modeling
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GOI Incentive applicable
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Nasscom Assessment
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Placement Assistance
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Course Details
What will you learn in this Google Cloud – Generative AI Course?
- By the end of this course, you will be well-equipped with both the theoretical understanding and practical skills required to excel in the rapidly evolving field of generative AI.
- Foundational Knowledge: Understand the core principles and concepts of generative AI, including how large language models operate and the importance of responsible AI.
- Practical Applications: Discover practical applications of generative AI in various engineering roles, learning to utilize tools like Gemini to streamline workflows and enhance productivity.
- Technical Expertise: Develop advanced technical skills necessary for integrating and optimizing generative AI in app development, machine learning, and data science.
- Ethical AI Deployment: Learn best practices for deploying AI responsibly, addressing ethical concerns, and ensuring the technology is used in a fair and transparent manner.
- Role-Specific Insights: Gain insights and guidance tailored to specific roles, enhancing your ability to apply generative AI concepts effectively in your professional context.
Why should you take this Google Cloud – Generative AI Course?
- This course provides a comprehensive journey from foundational concepts to advanced technical skills in generative AI. You'll gain proficiency in cutting-edge AI technologies, enhancing your career prospects in a rapidly growing field.
- Tailored for diverse roles such as developers, data analysts, and cloud engineers, the course offers practical applications to boost efficiency and productivity.
- You'll also learn responsible AI principles, ensuring ethical deployment of AI solutions. Earning these skill badges validates your expertise, making you a more attractive candidate to employers. The hands-on, interactive learning environment allows you to apply what you've learned to real-world projects, ensuring practical experience.
- Stay ahead of industry trends and develop innovative solutions with advanced AI knowledge. This course equips you with the necessary skills to excel and drive progress in your professional endeavors.
Who should take this Google Cloud – Generative AI Course?
- Students with little to no background experience in GenAI looking for an ideal foundation for diverse career paths including those as AI Content Creator, Machine Learning Engineer, AI Product Manager.
Curriculum
- Beginner: Introduction to Generative AI Google Learning Path - This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
- Intermediate: Gemini for Google Cloud Learning Path - The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities. Gemini provides a natural language chat interface which you can quickly chat with to get answers to cloud questions or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Gemini can help complete your code while you write, or generate code blocks based on comments. This learning path provides guidance for multiple roles, including developers, data analysts, cloud engineers, architects, and security engineers.
- Advanced: Generative AI for Developers Learning Path - A Generative AI Learning Path with a technical focus, built for App Developers, Machine Learning Engineers, and Data Scientists. Recommended prerequisite: Introduction to Generative AI learning path.
Tools you will learn in this Google Cloud – Generative AI Course
These tools equip you with foundational to advanced skills, enhancing your efficiency and technical expertise in generative AI –
- Beginner Level:
- Generative AI Concepts
- Large Language Models (LLMs)
- Responsible AI Principles
- Intermediate Level:
- Gemini for Google Cloud
- Natural Language Chat Interface
- Code Completion and Generation
- Cloud Best Practices
- Advanced Level:
- Advanced Generative AI Techniques
- App Development Tools
- Machine Learning Engineering Tools
- Data Science Tools