We may earn an affiliate commission when you visit our partners.

Gen AI Agents

Transform Your Organization

Google Cloud Training

4.7

Based on 184 ratings

Google Cloud Training

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 2

Annual Subscription

Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.

Valid until March 12, 2027

Save 40% Off 3 Months

Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.

What's inside

Syllabus

Modern agents

Explain the collaborative functionality of the components of generative AI agents.

Building agents

Explain how you can combine the components of generative AI agents to build powerful solutions.

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Career center

Learners who complete Gen AI Agents: Transform Your Organization will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Engineer

An Artificial Intelligence Engineer builds and deploys AI systems, including generative AI agents, to solve complex business problems. This course is highly relevant for aspiring or current Artificial Intelligence Engineers as it provides hands-on practice building a basic generative AI agent and deep dives into components like models, reasoning loops, and tools. Understanding how to combine these components to create powerful solutions, as outlined in the "Building agents" module, directly translates into practical engineering tasks. Furthermore, the course's exploration of Google Cloud's generative AI products offers valuable insight into real-world platform capabilities for creating agents and solutions. This curriculum directly addresses the technical foundations required for this advanced engineering role.

See salaries and explore the career path for Artificial Intelligence Engineer

Generative Artificial Intelligence Product Manager

A Generative Artificial Intelligence Product Manager guides the development and strategy of AI products, particularly those involving generative AI agents. This course provides a robust foundation for Generative Artificial Intelligence Product Managers by exploring how organizations can leverage custom generative AI agents to tackle specific business challenges. The "Strategy: Planning ahead" module, covering strategic planning for AI integration, organizational impact, and fostering innovation, is crucial for defining product roadmaps and vision. Understanding the components of generative AI agents and their application to enhancing customer experience provides the necessary technical literacy to collaborate effectively with engineering teams and envision impactful AI solutions.

See salaries and explore the career path for Generative Artificial Intelligence Product Manager

Artificial Intelligence Solutions Architect

An Artificial Intelligence Solutions Architect designs and oversees the implementation of AI-driven systems and solutions within an organization. For an Artificial Intelligence Solutions Architect, this course is invaluable as it delves into how custom generative AI agents can transform an organization by addressing specific business challenges. The practical exploration of agent components, such as models and reasoning loops, combined with understanding how to build powerful solutions from these parts, directly informs architectural design choices. The module on "Enhancing the customer experience with agents" using Google Cloud's generative AI products provides concrete examples and knowledge crucial for designing scalable and effective AI agent solutions.

See salaries and explore the career path for Artificial Intelligence Solutions Architect

Artificial Intelligence Consultant

An Artificial Intelligence Consultant advises businesses on AI strategy, implementation, and leveraging AI technologies for organizational growth and efficiency. For an Artificial Intelligence Consultant, this course is exceptionally relevant, providing a comprehensive understanding of how generative AI agents can transform organizations by addressing specific business challenges. The "Strategy: Planning ahead" module, which covers strategic planning for AI integration, assessing impact, and managing change, equips consultants with the framework to guide clients through complex digital transformations. Furthermore, understanding the components of generative AI agents and their practical application, including enhancing customer experience with Google Cloud products, enables consultants to recommend concrete, high-impact solutions.

See salaries and explore the career path for Artificial Intelligence Consultant

Machine Learning Engineer

A Machine Learning Engineer develops and implements machine learning algorithms and systems, often specializing in areas like generative AI. This course is highly beneficial for Machine Learning Engineers seeking to specialize in or deepen their understanding of generative AI agents. It offers hands-on practice building a basic generative AI agent and explores its fundamental components, including models, reasoning loops, and tools. The curriculum's focus on combining these components to build powerful solutions, as detailed in the "Building agents" module, directly enhances the practical skills required for developing advanced machine learning applications. Understanding agent functionality and strategic integration prepares engineers to contribute meaningfully to cutting-edge AI projects.

See salaries and explore the career path for Machine Learning Engineer

Technical Program Manager Artificial Intelligence

A Technical Program Manager Artificial Intelligence oversees complex AI initiatives, ensuring projects are delivered on time and align with strategic objectives. This course is directly applicable to Technical Program Managers Artificial Intelligence as it explores how custom generative AI agents can transform an organization, addressing critical business challenges. The "Strategy: Planning ahead" module, focusing on strategic planning for AI integration, impact within the organization, and planning for change, provides essential leadership insights for managing AI projects. Understanding the components of generative AI agents and how to combine them to build powerful solutions enables effective communication with engineering teams and informed decision-making throughout the program lifecycle.

See salaries and explore the career path for Technical Program Manager Artificial Intelligence

Data Scientist

A Data Scientist analyzes complex datasets to extract insights and build predictive models, increasingly including generative AI applications. This course can be highly valuable for Data Scientists looking to expand their expertise into the rapidly evolving field of generative AI agents. By exploring the components of generative AI agents, such as models and reasoning loops, and understanding how they tackle specific business challenges, Data Scientists gain critical insight into advanced model architectures and their deployment. The strategic planning for AI integration and impact also helps Data Scientists understand the broader organizational context for their work, enabling them to design more impactful and relevant data-driven solutions.

See salaries and explore the career path for Data Scientist

Cloud Architect

A Cloud Architect designs and implements cloud-based infrastructure and solutions, often supporting advanced technologies like AI and machine learning. This course is particularly relevant for Cloud Architects as it describes how Google Cloud’s generative AI products can be used to create generative AI agents and solutions. Understanding the specific components of generative AI agents, such as models and reasoning loops, helps architects design optimal cloud environments for their deployment and scaling. The strategic planning for AI integration within an organization provides crucial context for building robust, secure, and future-proof cloud infrastructures that effectively support generative AI initiatives.

See salaries and explore the career path for Cloud Architect

Prompt Engineer

A Prompt Engineer designs and refines inputs for generative AI models to achieve specific, desired outputs and behaviors. For a Prompt Engineer, this course is highly relevant as it delves into the components of generative AI agents, specifically mentioning models and reasoning loops. While agents involve more than just prompting, understanding how models are orchestrated within these larger systems, and how they combine with tools to build powerful solutions, provides a broader context for prompt design. The hands-on practice building a basic generative AI agent enhances understanding of model interaction, which is foundational for optimizing prompt effectiveness within complex AI applications.

See salaries and explore the career path for Prompt Engineer

Customer Experience Strategist

A Customer Experience Strategist conceptualizes and implements strategies to optimize customer interactions and satisfaction across an organization. This course may be highly useful for a Customer Experience Strategist as it explicitly includes a module on "Enhancing the customer experience with agents," describing how Google Cloud’s generative AI products can create such solutions. Understanding how custom generative AI agents tackle specific business challenges provides insight into automating and improving customer journeys. The course's exploration of strategic planning for AI integration further helps in envisioning how these agents fit into broader customer service architectures and contribute to overall organizational transformation.

See salaries and explore the career path for Customer Experience Strategist

Innovation Manager

An Innovation Manager drives new ideas and technologies within an organization to foster growth and competitive advantage. This course may be particularly useful for an Innovation Manager because it directly addresses fostering a culture of innovation as a leader, particularly through the strategic integration of AI solutions. By exploring how custom generative AI agents can transform organizations and tackle specific business challenges, Innovation Managers gain insight into practical applications of cutting-edge technology. Understanding the components of these agents and strategic planning for AI impact can help them identify new opportunities and champion initiatives that leverage generative AI for significant organizational improvement.

See salaries and explore the career path for Innovation Manager

Business Analyst Artificial Intelligence

A Business Analyst Artificial Intelligence bridges the gap between business needs and technical AI solutions, identifying opportunities and requirements. This course may be particularly useful for a Business Analyst Artificial Intelligence as it explores how custom generative AI agents can tackle specific business challenges and transform organizations. Understanding the components of these agents and how they combine to build powerful solutions provides insight into AI capabilities. The "Strategy: Planning ahead" module, covering strategic planning for AI integration and impact, directly supports the analyst's role in aligning AI initiatives with business goals and envisioning change with AI solutions.

See salaries and explore the career path for Business Analyst Artificial Intelligence

Chief Technology Officer

A Chief Technology Officer provides strategic leadership for an organization's technological direction, including the adoption and integration of emerging technologies like generative AI. This course may be highly useful for a Chief Technology Officer as it focuses on how generative AI agents can transform an organization and includes a key module on "Strategy: Planning ahead." This module directly addresses strategic planning for AI integration, assessing its impact within the organization, and planning for change with AI solutions to foster a culture of innovation as a leader. Understanding the foundational concepts of generative AI agents and their potential enables CTOs to make informed decisions about technology roadmaps and drive organizational advancement.

See salaries and explore the career path for Chief Technology Officer

User Experience Designer Artificial Intelligence

A User Experience Designer Artificial Intelligence focuses on creating intuitive and effective interactions for AI-powered products and services, including generative AI agents. This course may be useful for a User Experience Designer Artificial Intelligence because it provides insight into how generative AI agents enhance the customer experience and transform organizations. Understanding the collaborative functionality of agent components and how they are built into powerful solutions helps designers anticipate user needs and interaction patterns. The module on strategic planning for AI integration further allows designers to understand the broader impact and context of AI agents, facilitating the creation of user-centric and innovative AI solutions.

See salaries and explore the career path for User Experience Designer Artificial Intelligence

Enterprise Architect

An Enterprise Architect designs and oversees the overall structure of an organization's IT systems and processes, ensuring alignment with business strategy. This course may be helpful for an Enterprise Architect, as it focuses on how generative AI agents can transform an organization and addresses strategic planning for AI integration and impact within the enterprise. Understanding the collaborative functionality of generative AI agent components and how they can be combined to build powerful solutions provides architectural insights. This perspective enables architects to incorporate generative AI effectively into the broader enterprise technology landscape, fostering a culture of innovation and managing change with new AI solutions.

See salaries and explore the career path for Enterprise Architect

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Gen AI Agents: Transform Your Organization.

Artificial Intelligence

Save

This classic textbook provides a comprehensive overview of artificial intelligence, covering fundamental concepts, algorithms, and applications. It is an excellent resource for students and practitioners alike.

Artificial Intelligence: A Modern Approach

Hardcover

$$$$

Competing Against Luck

Save

Builds on the ideas presented in The Innovator's Dilemma and provides a more detailed look at the role of customer choice in innovation. It is essential reading for anyone who wants to understand how to create products and services that customers want.

Competing Against Luck: The Story of Innovation and...

Hardcover

Competing Against Luck: The Story of Innovation and...

Kindle Edition

The Innovator's Dilemma

Save

Classic in the field of innovation and provides a framework for understanding why successful companies often fail to innovate. It is essential reading for anyone who wants to understand the challenges of organizational innovation.

Gen AI Agents

Two deals to help you save

What's inside

Syllabus

Save this course

Career center

Reading list

Share

Similar courses

Coursera Buyer Protection & Guarantee

7-Day Free Trial & Free Audit

14-Day Refund Guarantee

Verified Academic & Industry Partner