Mastering the Strategies and Applications of Generative Artificial Intelligence

During this week you will review the program's material, familiarize yourself with the dashboard, review the complete syllabus and connect with your team members. On this date and time, we will also have a LIVE orientation session. This session will give you further details into the structure of the program, the dashboard and respond to all of your questions as well.

In this foundational class, participants will gain a comprehensive understanding of the basics of generative AI and its potential applications across various industries. They will explore the key concepts, terminology, and techniques associated with generative AI, as well as the current state of the technology and its future prospects. Participants will also learn about the different types of generative AI models, their strengths and limitations, and how they can be applied to solve real-world problems. Through practical examples and case studies, participants will develop a solid grasp of the fundamentals of generative AI and its transformative potential in the workplace.

In this class, participants will learn the practical applications of generative AI tools and models, focusing on strategies to create an effective framework for generating relevant and valuable outputs. They will explore popular tools such as ChatGPT, Claude, Perplexity, Gemini, and others, learning how to leverage their capabilities to enhance productivity and efficiency in various work scenarios. Participants will learn how to formulate clear framework and strategy to use the models and tools and, subsequently, how to create concise prompts, guide the models towards desired outputs, and evaluate and refine the generated content. Through hands-on exercises and real-world examples, participants will develop the skills necessary to effectively utilize generative AI tools and models in their work.

In this class, participants will explore the diverse landscape of AI assistants, conducting comparative analyses and examining real-world use cases. They will learn how to evaluate the strengths and limitations of various AI assistants, such as chatbots, virtual assistants, and writing aids, and understand how to select the most appropriate tool for their specific needs. Participants will also gain insights into the underlying technologies and architectures of AI assistants, as well as best practices for implementing and integrating these tools into their workflows. Through case studies and practical demonstrations, participants will develop the knowledge and skills needed to leverage AI assistants effectively in their work.

In this class, participants will explore the applications of generative AI in content creation, focusing on how these tools can enhance writing, brainstorming, and ideation processes. They will learn how to leverage AI-powered writing assistants, idea generators, and content optimization tools to streamline their content creation workflows and produce high-quality, engaging content. Participants will also gain insights into best practices for prompt engineering, content curation, and editorial oversight when working with generative AI. Through practical exercises and real-world examples, participants will develop the skills and knowledge needed to effectively integrate generative AI into their content creation strategies.

During this week there will not be a class, but we will work collaboratively (and asynchronously) with all cohort participants to summarize lessons learned, experiences, insights, questions and ideas about the previous classes. In addition, we will focus on preparing for the following classes and the assessments. This week is "light touch" (that is why we call it a "break"), but it is not a complete "break".

In this class, participants will explore how generative AI can be leveraged to tackle complex problems and challenges in the workplace. They will learn strategies for using AI-powered tools to generate novel ideas, analyze large datasets, and develop innovative solutions to business problems. Participants will also gain insights into best practices for problem framing, data preparation, and solution evaluation when working with generative AI. Through case studies and hands-on exercises, participants will develop the skills and knowledge needed to effectively apply generative AI in problem-solving contexts.

In this class, participants will learn how to effectively integrate generative AI tools and techniques into their existing workflows and processes. They will explore best practices for selecting, implementing, and managing AI-powered solutions in various business contexts. Participants will also gain insights into real-world examples of successful generative AI integrations across different industries and use cases. Through practical exercises and case studies, participants will develop the skills and knowledge needed to seamlessly incorporate generative AI into their daily work routines and optimize their productivity and efficiency.

In this class, participants will explore the ethical implications and responsible use of generative AI in the workplace. They will learn about the potential risks and challenges associated with AI-powered tools, such as bias, transparency, and accountability. Participants will also gain insights into best practices for developing and implementing ethical AI governance frameworks and ensuring the responsible use of generative AI across their organizations. Through case studies and group discussions, participants will develop the knowledge and skills needed to navigate the ethical landscape of generative AI and make informed decisions that align with their values and responsibilities.

In this class, participants will explore the latest advancements and future trends in generative AI, focusing on staying ahead of the curve in this rapidly evolving field. They will learn about cutting-edge techniques, such as few-shot learning, transfer learning, and multimodal generation, and their potential applications in various business contexts. Participants will also gain insights into emerging trends, such as AI-driven personalization, creative AI, and the integration of generative AI with other technologies like blockchain and IoT. Through hands-on exercises and case studies, participants will develop the skills and knowledge needed to leverage these advanced techniques and stay at the forefront of generative AI innovation.

During this week you will complete the final assessment to receive your diploma of completion. You have to complete the assessment no later than Friday of this week. The system will close on Friday, at midnight Pacific Time Zone, and it will not reopen again.

This is graduation day! Join us for a (virtual) gathering to celebrate this accomplishment!