Explore Catalogue

Introduction to AI is an 8–10-hour, competency-based training program designed to equip adult learners with essential AI literacy skills. Learners gain a clear understanding of what AI is, how it works, how to evaluate AI-generated content, how to use AI systems responsibly, and how to apply AI tools effectively within healthcare workflows while prioritizing patient safety and HIPAA compliance. This course emphasizes practical, ethical, and workplace-relevant applications rather than technical programming knowledge.

In this course, you'll gain foundational knowledge, practical tools, and actionable frameworks for integrating AI into your executive decision-making. You’ll explore AI-powered forecasting, strategic planning, risk assessment, and ethical considerations through engaging case studies and hands-on activities. You'll also discover how to build an AI-ready culture, communicate AI-driven insights effectively, and strategically position your organization for the future. 

This course is tailored for a broad spectrum of business professionals who influence or make strategic decisions. Executives, senior leaders, managers, consultants, and entrepreneurs will benefit from practical tools and insights to apply AI in real-world business contexts. It also welcomes aspiring AI champions and HR professionals eager to build AI-ready cultures and lead technological transformation across their organizations.

No prior knowledge of AI, data science, or advanced technology is required to take this course. It is designed to be fully accessible to business leaders with curiosity and a willingness to explore how AI can inform strategic decision-making. Access to AI tools like ChatGPT is recommended for learners who want to experiment and apply concepts hands-on during the course.

By the end of this course, learners will understand foundational AI concepts and how data fuels intelligent decision-making. They will be able to evaluate ethical concerns related to AI, apply tools for forecasting and risk analysis, and lead AI integration across teams. Ultimately, participants will be equipped to communicate AI insights effectively and guide their organizations confidently into an AI-powered future.

In this course, you’ll dive into the powerful intersection of Generative AI and cloud automation. Whether you're looking to automate cloud workflows, reduce operational costs, or deploy scalable AI-driven solutions, this course gives you the hands-on skills to do just that—using Amazon Bedrock, AWS Lambda, Step Functions, and Amazon Q. Through real-world examples, guided labs, and a capstone project, you'll learn to design, deploy, and optimize AI-powered cloud architectures that are secure, efficient, and future-ready.

This course is designed for cloud professionals and developers who want to bring generative AI into their AWS workflows. Whether you're a Cloud or DevOps Engineer looking to automate tasks with AI, an AI/ML Practitioner eager to deploy large language models via Amazon Bedrock, a Solutions Architect building scalable cloud infrastructures, or a Developer curious about enhancing applications with generative capabilities.

To make the most of this course, you should already be familiar with the AWS Console and comfortable with basic cloud tasks like setting up users using IAM. Experience with core AWS services such as S3 and Lambda will be helpful, along with a basic understanding of AI/ML concepts like inference and model deployment. You should also be able to read and write simple JSON and interact with APIs. Lastly, knowledge of Python or another scripting language will help you complete hands-on activities and workflows more smoothly.

By the end of this course, you'll have the confidence and technical know-how to design, deploy, and scale generative AI workflows using AWS services—unlocking new levels of automation, efficiency, and innovation. Whether you're solving real business challenges or exploring new AI capabilities, this course will give you the tools to make a real impact in your cloud projects. So dive in, experiment boldly, and let’s bring your GenAI-powered ideas to life!

In the rapidly evolving world of finance, algorithmic trading strategies powered by generative AI (GenAI) are transforming how traders approach the markets. This hands-on course is designed to equip traders, financial analysts, and developers with the skills to leverage GenAI for enhanced trading performance. Participants will delve into setting up a GenAI trading environment, creating custom AI-driven strategies, and automating trading processes. Through real-world examples and practical exercises, learners will gain the expertise to build, test, and deploy GenAI-enhanced trading systems, making this course an essential toolkit for modern algorithmic trading.

This course is designed for algorithmic traders, financial analysts, developers, and anyone interested in applying AI in trading.

A foundational understanding of financial markets, trading principles, Python programming, as well as basic knowledge of machine learning (ML) and neural networks (NN), is recommended.

By the end of this course, the learner will be able to create and test different GenAI based trading strategies. The learner will also be to optimize their portfolio using GenAI and other advanced techniques such as sentiment analysis.

Discover how Generative AI (GenAI) is transforming the advertising landscape in our beginner-level course, "GenAI for Dynamic Advertising and Media Buying." This course provides an actionable roadmap to harnessing the power of AI for creating personalized ad content, automating campaigns, and optimizing performance.  

With hands-on demonstrations of tools like Google Ads AI, Facebook Ads Manager, Bannerboo, and Elai, you’ll learn how to build dynamic ad content that speaks directly to your target audience. Through practical assignments and real-world case studies, this course gives you the skills to automate your media buying, improve your return on investment (ROI), and stay ahead in the rapidly evolving world of digital advertising.  

This course is tailored for marketers, advertising specialists, and small business owners responsible for creating and managing ad campaigns. It’s also ideal for digital marketing professionals interested in automating processes and boosting campaign performance with the latest AI tools. Whether you’re looking to streamline media buying or craft more dynamic, data-driven ad experiences, this course will equip you with essential GenAI skills for advertising.

A basic understanding of digital marketing concepts and experience with popular advertising platforms like Google Ads and Facebook Ads will help participants get the most from this course. Familiarity with ad creation and campaign management basics is recommended, though no advanced technical expertise is necessary, as AI tools simplify complex tasks.

By the end of this course, learners will understand the key benefits of GenAI in advertising, be able to create personalized ad creatives with tools like Gemini, Bannerboo, and Elai while respecting data privacy, and set up automated campaigns using AI-driven platforms like Google Ads AI and Facebook Ads Manager. Participants will also gain skills in analyzing key metrics, such as CPA, CTR, and ROAS, using analytics to optimize campaign performance effectively.

In today's high-stakes legal climate, identifying and reducing risks successfully is more than a skill; it's a competitive advantage. Legal professionals want cutting-edge technologies to be competitive, and AI provides unparalleled opportunity to improve risk management. 

This course will provide you with the practical knowledge and effective tactics for using AI for proactive legal risk assessment and mitigation. From comprehending AI's potential in compliance to resolving ethical concerns, you will learn not merely pertinent but transformative insights. 

This course is designed for a diverse group of professionals eager to enhance their legal risk management strategies. It is ideal for lawyers, compliance officers, and in-house counsel looking to leverage AI for automating risk mitigation. Entrepreneurs and executives navigating complex legal landscapes will benefit from proactive tools to manage legal challenges effectively. Additionally, compliance specialists, legal consultants, AI enthusiasts, and legal technology developers will gain valuable insights into integrating AI into traditional legal processes and staying ahead in this transformative field.

No prior experience is required to enroll in this course. All you need is a curiosity about AI's disruptive potential in legal risk management and a drive to enhance legal processes. Whether you're a seasoned professional or transitioning into the legal field, a willingness to learn and embrace AI-driven solutions will ensure your success in this innovative and evolving discipline.

By the end of this course, learners will be able to analyze legal risks using AI techniques and identify potential challenges with AI-driven insights. They will develop strategies for integrating AI into legal workflows, creating efficient and compliant risk management procedures. Additionally, learners will assess ethical implications and compliance considerations of deploying AI in legal settings, while also designing innovative AI-powered solutions for proactive legal risk mitigation.

In this course, you’ll explore how to use Generative AI to identify and resolve pay disparities while designing fair, data-driven compensation strategies. Leveraging powerful AI tools like Google Gemini, Claude, and ChatGPT, you’ll dive into hands-on exercises that reveal how AI can uncover hidden inequities, optimize compensation plans, and support ethical decision-making. From foundational concepts to advanced modeling and predictive analytics, this course equips you with the tools and knowledge to lead equity-focused compensation initiatives in your organization.

This course is designed for HR professionals, compensation analysts, business leaders, equity and compliance officers, and data-driven professionals interested in creating fair and transparent pay structures. If you're responsible for compensation decisions and want to harness the power of AI to drive equity and compliance, this course is built for you.
 

To get the most out of this course, learners should have a basic understanding of compensation structures and HR analytics. Familiarity with AI concepts, data analysis tools, and an interest in ethical workforce practices will help deepen your learning experience.

By the end of this course, you’ll have the confidence and skills to conduct comprehensive, AI-powered pay equity analyses, design data-informed compensation strategies, and implement fair, transparent, and compliant pay structures within your organization. You’ll be equipped to identify and close pay gaps, apply predictive insights to compensation planning, and champion ethical AI practices in HR decision-making. Whether you’re an HR professional, compensation analyst, or business leader, your ability to create more equitable workplaces will be empowered by the transformative tools of Generative AI. Now it’s time to take what you’ve learned and make a measurable impact because the future of compensation is fair, data-driven, and led by you.

“Algorithmic Solutions: Design, Problem Solving, Reporting” is a comprehensive course designed to introduce learners to the fundamental concepts of algorithm design, advanced problem-solving techniques, and effective reporting of results. This course blends theoretical lessons with practical examples to equip participants with the skills necessary to approach complex problems, develop optimized algorithms, and communicate their solutions clearly.  I recall a pivotal project where our team's initial approach to a complex scheduling algorithm led to inefficiencies that nearly jeopardized the project's deadline. This experience taught us the critical importance of robust algorithm design and adaptive problem-solving. It's a lesson in the necessity of not just solving problems, but solving them right—the first time.  For instance, participants will learn how to implement and analyze the Bubble Sort algorithm to understand sorting techniques, and use constraint satisfaction techniques to solve Sudoku puzzles and scheduling problems. These examples ensure that learners can directly apply theoretical knowledge to real-world scenarios, enhancing both their problem-solving abilities and practical skills.  By the end of this course, learners will be able to articulate the core principles of algorithm design, apply diverse algorithmic techniques to solve complex problems, and effectively communicate their findings. Whether you are new to programming or looking to deepen your existing problem-solving skills, this course will provide you with comprehensive insights into the art and science of algorithm design. 

"User Interface Design: Principles, Prototyping, Practices" is a comprehensive course designed to provide foundational knowledge and practical skills in UI design. This course covers essential topics including the principles of UI design, the workflow of prototyping, and best practices in creating visually appealing and user-friendly interfaces. Participants will learn through a combination of theoretical lessons and hands-on activities, gaining insights into user needs, prototyping techniques, and effective design strategies.  Reflecting on an early project in my career, I remember the eye-opening challenge of designing an interface that users found confusing and difficult to navigate. This experience taught me the vital importance of intuitive design and has deeply influenced the way I approach UI projects, emphasizing clarity and user engagement above all. This course is built on those lessons, aiming to equip you with the ability to create intuitive and accessible user interfaces that enhance user experience.  By the end of this course, learners will be equipped to design interfaces that are not only functional but also delightful to interact with. Whether you are starting your journey in UI design or seeking to refine your existing skills, this course will provide you with a solid foundation and the necessary tools to succeed in the dynamic field of user interface design.

This comprehensive course is tailored specifically for data analysts, business professionals, and anyone looking to significantly enhance their proficiency in Microsoft Excel for complex data analysis tasks. By exploring a wide range of advanced Excel features and techniques, participants will gain the ability to analyze and interpret data to make informed business decisions. Learners will be introduced to real-world applications, using Excel to tackle diverse scenarios. The main case study will focus on Marketing, specifically the pricing of diamonds based on their characteristics and analyzing production quality data in manufacturing. By the end of the case study, learners will feel empowered to apply regression analysis to problems in their own field. This practical approach ensures that learners will leave the course equipped to handle complex data analysis challenges, providing them with the skills to conduct hypothesis testing, regression analysis, and more. By the end of this course, learners will have mastered the necessary tools to effectively visualize, analyze, and interpret data using Excel, making them invaluable assets in their professional fields. This course will empower participants to transform raw data into compelling insights, driving business strategies and achieving better outcomes.