Learn new skills. Advance your career.

The AI Literacy, Ethics & Productivity Certificate helps professionals in any role harness generative AI to work smarter. Over 8 weeks (3–5 hrs/week), you’ll learn AI fundamentals, ethics, and practical applications to boost efficiency, creativity, and strategic thinking in your day-to-day job. The course includes live expert sessions, hands-on projects, and a certificate of completion.

View the full syllabus here.

Time commitment: 8 weeks, part time.

Real-world projects:

As part of your coursework, you'll build an actionable plan to immediately adopt AI in your day-to-day and strategic work. Walk away with a framework to immediately apply AI to workflows, business challenges, and strategic decisions.

Tuition: $3,900

Prerequisites:

• Students must be 18 years of age or older and have a strong proficiency in English.

• Students are required to have received a high school diploma or passed the general educational development (GED) diploma test or any other high school graduate equivalency examination.

The Advanced AI Literacy & Productivity Certificate teaches professionals to design, implement, and scale AI solutions in real workflows. Over 7 weeks (3–5 hrs/week), you’ll master advanced prompting, build and train a no-code AI assistant, and develop a launch plan to integrate it into your team. Includes live expert sessions, hands-on projects, and practical frameworks for ethical, high-impact AI adoption.

Time commitment: 7 weeks, part time.

Real-world projects:
As part of your coursework, you'll build an actionable plan to immediately adopt AI in your day-to-day and strategic work. Walk away with a framework to immediately apply AI to workflows, business challenges, and strategic decisions.

Tuition: $3,900

Prerequisites:

• Students must be 18 years of age or older and have a strong proficiency in English.

• Students are required to have received a college degree and must use large language models (LLMs) at least once a week.

The AI Strategy for Leaders Course helps professionals harness the power of AI to drive smarter decisions and organizational growth. Over 4 weeks, you’ll learn to identify opportunities for AI integration, use AI as a co-strategist to uncover insights, and design a high-level AI strategy aligned with your company’s goals. Through on-demand lessons and a hands-on project, you’ll develop an actionable AI pilot plan that positions your organization for innovation and competitive advantage.

Time commitment: 4 weeks, part time.

Tuition: $3,900

Prerequisites:

• Students must be 18 years of age or older and have a strong proficiency in English.

• Students are required to have received a college degree and must meet these requirements:

• 10+ years professional work experience

  Is a team lead, department leader, or have decision-making authority

• Have the ability and desire to drive employer's AI strategy

The AI for Programmers Course empowers developers to integrate artificial intelligence into their coding workflows to boost efficiency, accuracy, and innovation. Over 7 weeks, you’ll master practical and advanced AI applications for writing, debugging, testing, and automating code while developing a personalized AI workflow playbook to enhance productivity. Through hands-on projects and on-demand lessons, you’ll gain the skills to confidently leverage AI tools and stay competitive in a rapidly evolving tech landscape.

Time commitment: 7 weeks, part time.

Tuition: $3,900

Prerequisites:

• Students must be 18 years of age or older and have a strong proficiency in English.

• Students are required to have received a college degree and must have at least 2-3 years of professional experience as a software engineer, including foundational skills of how to code without using AI.

The Machine Learning for Engineers course trains existing engineers to design, deploy, and manage ML systems at scale. Over 16 weeks (8–10 hrs/week), you’ll master Python, TensorFlow, Scikit-learn, SQL, and AutoML while building end-to-end ML pipelines. Learn to clean data, deploy models, and address AI ethics. 100% online with mentorship, hands-on projects, and a certificate upon completion.

View the full syllabus here.

Time commitment: 4 months, part time.

Real-world projects:
As part of your capstone project, build and deploy your own machine learning or deep learning prototype.

Tuition: $5,200

Prerequisites:

• Students must be 18 years of age or older and have a strong proficiency in English.

• Students are required to have received a college degree and have experience as a software engineer, data analyst or engineer, or a bachelor's in computer science or math.

• Applicants should be confident coding in Python and with data procession and data analysis.