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Coding Algorithms with AI

In this second course in the ‘Coding with AI for MBAs’ specialization, we’ll continue with a contemporary, AI-forward, product-first approach to coding. As an MBA or generalist, this course will help you go from design to code for ‘Controllers’, or ‘algorithms’. Understanding the process of building and maintaining algorithms with AI will both help you build great products yourself as well as make yourself a better collaborator to your engineering-focused colleagues. We’ll be coding in Javascript (JS), but mostly we’ll be focused on the underlying design and engineering principles for building user interfaces. This course was developed at the Darden School of Business at the University of Virginia and is taught by top-ranked faculty.

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Syllabus

Algorithmic User Experiences

This week, you’ll learn how to write algorithms (Controllers) that interact with the View. These are sometimes called ‘front controllers’ and they’re the gateway for connecting what you’ve learned about Views with what you’re about to learn about Controllers. As always, we’ll start by making sure we have a specific end in mind, figuring out our approach, and then iteratively coding, testing, and debugging. (Please note that if you audit this course, only the first module is available and you will not earn a course certificate.)

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Career center

Learners who complete Coding Algorithms with AI will develop knowledge and skills that may be useful to these careers:

Technical Product Manager

The role of a Technical Product Manager requires a deep understanding of both market needs and the technical intricacies of product development. You'll bridge the gap between business strategy and engineering execution, translating complex requirements into tangible product features. For individuals aspiring to be a Technical Product Manager, "Coding Algorithms with AI" offers an invaluable foundation. This course empowers you to grasp the "design to code" process for 'Controllers' or 'algorithms,' which are fundamental components of many modern products. By immersing yourself in engineering principles for user interfaces, coding in Javascript, and dissecting algorithmic user experiences, you become a more credible and effective partner to engineering teams. This specialized knowledge directly enhances your capacity to lead the development of AI-driven products and systems.

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AI Product Strategist

An AI Product Strategist focuses on defining the vision, strategy, and roadmap for products leveraging artificial intelligence. This role requires a blend of business acumen, market understanding, and a clear grasp of AI capabilities and development processes. For someone aiming to be an AI Product Strategist, "Coding Algorithms with AI" is an exceptionally relevant course. Its explicit AI-forward, product-first approach to coding, specifically for 'Controllers' or algorithms, provides critical insight into the buildability and maintenance of AI-driven features. Learning to go from design to code and understanding the underlying engineering principles for user interfaces allows you to articulate AI product requirements with technical credibility and lead innovative AI product initiatives effectively.

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Product Manager

A Product Manager guides the strategy and development of products, acting as the nexus between business, technology, and user experience. This role thrives on vision, communication, and a clear understanding of how products are built and evolve. This course, "Coding Algorithms with AI," is an exceptional fit for aspiring or current Product Managers. With its emphasis on a contemporary, AI-forward, product-first approach to coding, it directly equips you to conceptualize and oversee the creation of algorithms and user interfaces. By learning to go from design to code for 'Controllers,' you'll gain crucial insights into the underlying engineering principles, enhancing your ability to define product requirements, make informed technical decisions, and collaborate effectively with engineering teams. The focus on building and maintaining algorithms with AI ensures you can lead innovative product development.

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Full-Stack Developer

A Full Stack Developer possesses the versatility to work on both the front-end (user interface) and back-end (server, database) components of a web application. This comprehensive role requires a strong understanding of how various layers of a software system interact to deliver a complete product. "Coding Algorithms with AI" is exceptionally well-suited for someone pursuing a career as a Full Stack Developer. The course's focus on building user interfaces with Javascript, combined with its in-depth exploration of 'Controllers' or algorithms that manage application logic, directly covers both sides of the stack. You'll learn to integrate Views and Controllers, automate tasks, and apply analytical debugging, providing a holistic perspective on taking a product from design to code.

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Software Engineer Front End

A Software Engineer Front End is pivotal in creating the user-facing elements of websites and applications, ensuring they are intuitive, responsive, and aesthetically pleasing. This role primarily involves translating design mockups into functional code that users interact with directly. For individuals interested in becoming a Software Engineer Front End, this course, "Coding Algorithms with AI," offers highly relevant skills. You will gain hands-on experience by coding in Javascript and focusing on the underlying design and engineering principles for building user interfaces. The syllabus directly addresses writing 'front controllers' that interact with the View, dynamically creating HTML elements, and building integrated Views and Controllers in a web application. This practical exposure to algorithmic user experiences and debugging techniques will prepare you well for the demands of front-end development.

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Solutions Architect

A Solutions Architect is responsible for designing complex systems and applications, ensuring they meet business needs and technical standards. This involves evaluating requirements, making technology choices, and outlining software architecture, often including the design of algorithms and user interactions. This course provides a strong conceptual and practical grounding vital for a Solutions Architect. By engaging with an AI-forward, product-first approach to coding, you learn how to go from design to code for 'Controllers' and understand engineering principles for user interfaces. The course's exploration of algorithmic user experiences and the process of building and maintaining algorithms with AI directly informs your ability to design robust, scalable, and intelligent solutions. This role typically benefits from an advanced degree and significant industry experience.

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Software Development Manager

A Software Development Manager leads and mentors engineering teams, overseeing the entire software development lifecycle from conception to deployment. This leadership role requires a strong grasp of technical processes, project management, and team dynamics. For an MBA or generalist aiming to become a Software Development Manager, this course, "Coding Algorithms with AI," is highly relevant. It provides first-hand experience in an AI-forward, product-first approach to coding, including the iterative process of coding, testing, and debugging algorithms. Understanding how to build and maintain 'Controllers' that power user interfaces allows you to better guide your team, evaluate technical discussions, and ensure that engineering principles are applied effectively in product development.

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Technical Program Manager

A Technical Program Manager oversees complex technical projects or programs, coordinating across multiple engineering and product teams to ensure timely delivery and strategic alignment. This role demands a blend of technical acumen, project leadership, and communication skills. "Coding Algorithms with AI" provides an excellent foundation for a Technical Program Manager by offering a deep dive into the practicalities of software development. The course's focus on going from design to code for 'Controllers' or algorithms, coupled with understanding engineering principles for user interfaces, directly enhances your ability to understand technical roadmaps, foresee challenges, and communicate effectively with engineers. This AI-forward, product-first approach ensures you can lead innovative programs efficiently.

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Business Systems Analyst

A Business Systems Analyst serves as a critical link between business stakeholders and technical teams, translating business requirements into detailed system specifications. This role often involves process improvement, data analysis, and ensuring that software solutions align with organizational goals. For an aspiring Business Systems Analyst, "Coding Algorithms with AI" offers valuable insights into the technical feasibility and implementation aspects of business solutions. The course's emphasis on taking an AI-forward, product-first approach to coding, alongside automating tasks with 'Controllers,' directly informs how systems can be designed to improve efficiency. Understanding the process of going from design to code for algorithms helps you articulate technical needs and collaborate effectively when proposing and implementing new business systems.

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Technology Consultant

A Technology Consultant advises organizations on leveraging technology to solve business challenges, improve efficiency, and achieve strategic objectives. This involves analyzing current systems, recommending solutions, and often assisting with implementation. "Coding Algorithms with AI" can be highly beneficial for a Technology Consultant, particularly for those advising on product development, digital transformation, or AI integration. The course's emphasis on a contemporary, AI-forward, product-first approach to coding and its focus on going from design to code for 'Controllers' provides a practical understanding of how technology solutions are conceived and built. This enables you to provide more informed, actionable recommendations and effectively communicate with both business stakeholders and technical implementation teams.

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Machine Learning Engineer

A Machine Learning Engineer focuses on designing, building, and deploying machine learning models into production systems. This role often involves developing robust algorithms, optimizing performance, and integrating AI solutions with existing software infrastructure. "Coding Algorithms with AI" may be helpful for a Machine Learning Engineer by providing a practical understanding of how algorithms, especially 'Controllers' for user interfaces, are built and maintained using an AI-forward, product-first approach. Learning Javascript and underlying engineering principles for user interfaces can enhance your ability to integrate ML models into front-end applications or understand the interaction points with user experiences. The debugging skills are universally applicable. This profession typically requires an advanced degree.

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Data Scientist

A Data Scientist extracts insights from complex datasets, builds predictive models, and designs algorithms to solve business problems. This role often requires a strong foundation in statistics, machine learning, and programming. "Coding Algorithms with AI" may be useful for an aspiring Data Scientist, especially in understanding the practical deployment and integration of AI-driven algorithms into user-facing applications. While the course focuses on Javascript and user interfaces, the core principles of designing, building, and maintaining 'Controllers' or algorithms, coupled with analytical debugging, are transferable. This helps Data Scientists appreciate the product lifecycle from a coding perspective, enhancing their ability to collaborate with engineering teams on deploying models. An advanced degree is typically required for this profession.

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Innovation Manager

An Innovation Manager drives the creation and implementation of new ideas, products, or processes within an organization, fostering a culture of creativity and strategic development. This role often requires vision, cross-functional collaboration, and an understanding of emerging technologies. "Coding Algorithms with AI" may be valuable for an aspiring Innovation Manager by providing a practical perspective on how AI-forward, product-first coding translates into tangible new offerings. Understanding the process of going from design to code for 'Controllers' and algorithms, especially related to user interfaces, can inform strategic decisions about product innovation and technological adoption. This course equips you to better evaluate emerging tech, identify opportunities, and communicate effectively with technical teams driving innovation.

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User Experience Designer

A User Experience Designer focuses on creating intuitive, efficient, and enjoyable product experiences for users. This involves user research, wireframing, prototyping, and ensuring a seamless interaction flow. "Coding Algorithms with AI" may be useful for an aspiring User Experience Designer by offering a deeper understanding of how the technological backend influences the front-end experience. By learning about "algorithmic user experiences" and how 'Controllers' interact with the View, you gain insight into the technical constraints and possibilities of your designs. This course helps you to go from design to code from a product-first perspective, fostering better communication with development teams and enabling you to design more technically feasible and innovative user interfaces.

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DevOps Engineer

A DevOps Engineer streamlines the software development lifecycle by automating processes, managing infrastructure, and ensuring seamless deployment and operation of applications. This role integrates development and operations practices to improve efficiency and reliability. "Coding Algorithms with AI" may be helpful for a DevOps Engineer by strengthening their understanding of the underlying code and development process. The course's emphasis on "automating your gruntwork with Javascript" and rigorous "analytical debugging" directly aligns with core DevOps principles. While the course focuses on algorithms and user interfaces, the iterative coding, testing, and debugging practices, and the push to build and maintain robust software with an AI-forward approach, provide a valuable foundation for optimizing deployment pipelines.

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Reading list

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Algorithms, Part II

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Comprehensive introduction to the design and analysis of algorithms, written in a clear and concise style. It covers a wide range of algorithms, from sorting and searching to graph algorithms and computational geometry.

Algorithms, Part II

Kindle Edition

Introduction To Algorithms

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Classic textbook on algorithms that has been used by generations of computer science students. It covers a wide range of algorithms, from sorting and searching to graph algorithms and computational geometry.

Introduction to Algorithms, fourth edition

Hardcover

$$$$

Coding Algorithms with AI

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