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This is an in-depth course designed to explore the transformative impact of GenAI on marketing data analytics. The course provides a comprehensive understanding of how GenAI can be used to improve a variety of marketing functions, including campaign optimization, customer segmentation, sentiment analysis, and performance analytics. Through interactive discussions, hands-on demos, and hands-on labs, attendees will gain the skills needed to integrate GenAI tools into their marketing workflows to drive innovation and effectiveness. This course is designed for marketing intelligence team leaders and marketing analysts, including those responsible for leading their teams toward more effective, innovative, and forward-thinking practices, marketing analysts looking to improve their workflows and increase productivity with GenAI tools, and aspiring marketers looking to validate their skills and gain a competitive advantage for the future. Participants should have a basic understanding of marketing concepts and strategies, an understanding of marketing tools such as Google Analytics, CRM systems, and marketing automation platforms, and a curiosity and willingness to learn new technologies. While deep technical training is not required, prior exposure to marketing analytics will help students better understand the context and apply the GenAI-focused course content. By the end of the course, marketers will have the knowledge and skills to leverage the transformational potential of GenAI, bringing efficiency, innovation, and strategic insight to their work.

The GenAI for Data Scientists course is designed for professionals looking to integrate generative artificial intelligence (GenAI) into their data science practice. This introductory course will help you navigate the complex world of GenAI, demonstrating its significant impact on data analytics, predictive modeling, and more. The course is designed for team leaders and managers looking to implement GenAI into their strategic initiatives, as well as individual data scientists and analysts looking to improve their day-to-day tasks with GenAI’s advanced techniques. The course is also suitable for professionals looking to advance their careers by mastering GenAI’s advanced data science applications. Learners should have a basic understanding of data analytics, statistical methods, and machine learning, as well as knowledge of the Python or R programming languages. An open mind and a passion for learning new technologies are also required. The curriculum covers the fundamentals of machine learning models, data augmentation, ethical considerations, and provides insight into how GenAI can improve the accuracy of analysis and drive innovation.

This course aims to help you understand the basic principles and concepts of systems thinking, identify and analyze the interrelationships in complex systems, apply systems thinking tools and methods to real-world problems and opportunities, and generate innovative ideas and solutions using systems thinking approaches. The course aims to cultivate an ability to think holistically, enabling learners to see beyond parts and appreciate the whole picture, which is crucial for addressing modern challenges across various domains, including business, environmental issues, and social systems. This course is designed for Business Analysts, Project Managers, Strategy Consultants, Business Leaders, and Entrepreneurs. These professionals navigate complex environments and make strategic decisions that impact their organizations. By learning systems thinking skills, they will enhance their ability to see the bigger picture, recognize patterns, and understand business interconnections. Participants should have a keen interest in problem-solving techniques and be open to questioning the status quo. This mindset is essential as systems thinking often involves challenging existing assumptions and considering new perspectives. No prior knowledge of systems thinking is required, but a willingness to engage with complex concepts and collaborate with others will be beneficial. After completing this course, learners will be able to analyze complex systems by identifying and mapping their elements, interconnections, and feedback loops. They will apply systems thinking tools and methods to real-world problems and opportunities, demonstrating their ability to create holistic solutions. Additionally, learners will generate innovative ideas and solutions using systems thinking approaches, harnessing their critical and creative thinking skills to drive positive change in their organizations.

The GenAI for Social Media Marketers course, offered by GenAI Academy, explores how generative artificial intelligence (GenAI) can transform marketing practices. This program equips participants with the knowledge and skills needed to use GenAI effectively and creatively on client projects. The course is designed for social media marketers of all skill levels. It is designed for team leaders looking to improve team efficiency and innovation, social media marketers looking to improve content creation and campaign management, and anyone looking to excel in social media marketing and stay ahead with in-demand skills. While no prior knowledge of AI is required, it is helpful to have a solid understanding of popular social media platforms such as Facebook, Instagram, Twitter, and LinkedIn. Strong writing skills, effective communication, the ability to analyze social media data, and a creative approach to creating engaging content are also essential. Upon successful completion of the program, students of all skill levels will be able to easily implement GenAI into their marketing strategies, resulting in increased efficiency, productivity, and positive results from their social media campaigns.

GenAI Academy offers an engaging course designed specifically for digital marketers that focuses on how generative artificial intelligence (GenAI) can revolutionize marketing strategies. This course is designed for executives and managers looking to improve team productivity and creativity with GenAI, digital marketers looking to improve content creation and campaign management, and those looking to specialize in digital marketing and stay competitive by mastering GenAI technology. While no prior knowledge of AI is required, familiarity with popular social media platforms (e.g. Facebook, Instagram, Twitter, LinkedIn), strong communication and data analysis skills, and content creation skills will enhance your learning experience. It is also helpful to be creative and have a solid understanding of fundamental marketing concepts. Upon successful completion of the curriculum, students of all backgrounds will be well-equipped to seamlessly integrate GenAI into their marketing strategies, resulting in increased efficiency, productivity, and favorable results in their digital marketing endeavors.

GenAI for Marketing Teams is a one-hour course designed to revolutionize the way marketing teams work. With a focus on collaboration tools and strategies, this course will help marketing teams improve cross-functional integration, teamwork, and overall communication. The course is designed for marketing managers, team leads, project coordinators, creative directors, and learning and development professionals in marketing departments who want to improve their skills in using GenAI to drive collaborative innovation and improve team performance. Participants should have a fundamental understanding of marketing principles and strategies, as well as a desire to learn and adapt to new technologies. Familiarity with core marketing concepts and a willingness to learn GenAI tools will help them get the most out of this course. By the end of the course, participants will have a clear and holistic understanding of how to strategically implement GenAI within the marketing function to achieve organizational goals.

The GenAI for Application Developers course is designed for professionals who want to integrate artificial intelligence into their development workflow. This comprehensive course introduces Gemini for Google Cloud (Duet AI), highlighting its potential to streamline coding, debugging, and deployment processes. Attendees will gain hands-on experience with Gemini for Google Cloud (Duet AI) tools and learn how to use them to improve application development productivity and efficiency. Designed for team leads, managers, senior developers, and software engineers, this course is ideal for those looking to integrate GenAI into their strategic initiatives to improve productivity, streamline workflows, and advance their careers by mastering GenAI’s advanced applications in application development. Attendees should have a basic understanding of software development, debugging, and deployment processes. Familiarity with programming languages ​​such as Python, Java, or JavaScript is recommended. An open mind about using GenAI tools and techniques, as well as a curiosity about experimentation and learning, will help you get the most out of this learning experience. By the end of the course, students will have a deep understanding of GenAI for application development. They will be able to apply Gemini for Google Cloud (Duet AI) to their projects to speed up development cycles, reduce errors, and maintain high standards of code quality.

GenAI for Data Science Teams is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and data science practice. This course aims to explain the complexities of GenAI and enable data scientists to use these technologies to augment data, automate tasks, and develop models. The course is designed for data science leaders and team leaders looking to innovate, senior data scientists implementing GenAI, aspiring data scientists looking to gain advanced skills, and IT professionals looking to understand how GenAI can be applied to data science for cross-disciplinary innovation. Students should have a fundamental understanding of data science principles and strategies, as well as a willingness to learn and adapt to new technologies. By the end of the course, students will be able to creatively apply GenAI tools to their workflows, improving project outcomes and driving team innovation.

This course is designed to introduce business analysts to the transformative capabilities of generative artificial intelligence (GenAI). Attendees will learn practical strategies for using GenAI across a variety of business analytics tasks to improve efficiency and productivity. Through discussion, demonstration, and hands-on labs, attendees will gain a deep understanding of how GenAI can be integrated into business processes and decision making. This course is designed for business analytics managers, team leads, and business analysts who are looking to identify GenAI opportunities and guide their teams toward more effective, innovative practices. This course will also benefit aspiring business analysts who want to validate their skills and gain a competitive advantage by mastering the integration of GenAI into business analytics. Attendees should be familiar with fundamental business analytics concepts and workflows, including business process modeling and requirements gathering, working with data using SQL, and developing analytics using tools like Tableau. Whether you're an experienced business analyst looking to stay ahead of the competition or aspiring professionals looking to solidify your skills for the future, this course will lay the foundation that will enable you to unlock new levels of efficiency, productivity, and creativity in your work.

Welcome to the transformative world of Generative AI for Business Intelligence Analysts. This course will equip you with the knowledge and practical skills to use Generative Artificial Intelligence (GenAI) in your daily workflows, empowering you to make data-driven decisions. Through interactive discussions, video tutorials, and hands-on labs, you’ll learn how to simplify data exploration, enhance data visualization techniques, automate routine tasks, and uncover insights in complex data sets. This course is ideal for team leaders and managers looking to leverage GenAI to improve efficiency and innovation, BI analysts looking to hone their skills and streamline their workflows, and those looking to break into BI with advanced and in-demand GenAI knowledge. Students should have a basic understanding of data science and analytics principles, including familiarity with data types, basic statistics, and data visualization techniques. Upon completion of the course, students will have the knowledge to unlock the transformative power of GenAI, ushering in a new era of efficiency, productivity, and data intelligence for BI analysts.

This course covers the evaluation of Large Language Models (LLMs), starting with fundamental evaluation methods, exploring advanced techniques using Vertex AI tools like Automatic Metrics and AutoSxS, and looking ahead to the future of generative AI evaluation. This course is ideal for AI product managers looking to optimize LLM applications, data scientists interested in advanced methods for evaluating AI models, AI ethicists and policymakers looking to drive responsible AI adoption, and academic researchers studying the impact of generative AI across a variety of domains. A basic understanding of artificial intelligence, machine learning concepts, and familiarity with natural language processing (NLP) are recommended. The course explores practical applications, integrating human insight with automated methods, and preparing for future trends in AI evaluation across a variety of media, including text, images, and audio. This comprehensive approach ensures that you are prepared to effectively evaluate LLMs to drive business strategy and innovation.

In the complex landscape of modern business, Corporate Governance emerges as a critical pillar for companies aiming to navigate ethical, legal, and competitive arenas successfully. This course offers an in-depth exploration of the principles and practices underpinning effective corporate governance, focusing on board responsibilities, regulatory compliance, risk management, and stakeholder engagement, as well as the evolution of the corporate governance concept itself. Through this course, professionals will develop the skills to shape governance structures that promote integrity, accountability, and informed decision-making. Upon completion, participants will be well-equipped to contribute to their organizations' governance policies, ensuring resilience and fostering a culture of ethical business practices that align with global standards. This course targets board members, corporate executives, governance professionals, and compliance officers seeking to deepen their understanding of effective governance practices. It is equally relevant for financial analysts, corporate lawyers, and consultants involved in advising organizations on governance, ethics, and compliance issues. Furthermore, students and academics interested in corporate governance theories and applications will find valuable insights and practical knowledge. No specific prerequisites are required for this course. However, a fundamental understanding of business operations, corporate law, or management principles will enhance the learning experience. An interest in the ethical, legal, and strategic aspects of corporate governance is essential for learners. After completing this course, learners will adeptly identify corporate governance principles, effectively manage regulatory challenges, enhance stakeholder relations, and implement robust risk management practices to ensure ethical business operations and safeguard corporate assets and reputation.