Online Graduate Certificate in AI Applications

Future-proof your career with the power of AI.

100%

online

4+

Months

4

courses

$6,496

$406 per credit

Submit your Fast App by December 9 to start courses January 6.

Program overview

The Online Graduate Certificate in AI Applications is designed for professionals who may not have prior programming experience and are seeking to harness the power of artificial intelligence (AI) within their respective industries.

By the end of the program, you will gain skills in leveraging AI technologies responsibly, ethically, and effectively within your organizations. You'll be equipped to advocate for the responsible use of AI and mitigate risks associated with AI deployment, while also understanding the human-centered aspects of AI development and implementation. 

Certificate Learning Outcomes: 

  • Identify AI tools that can improve business or operational practices by applying a human-centered approach
  • Identify potential risks and benefits of using AI
  • Plan on AI-related issues and identify potential solutions
  • Exhibit awareness of known biases in AI systems and propose steps for mitigation and correction
  • Communicate technical and non-technical information effectively to diverse stakeholders
  • Collaborate with cross-functional teams to apply AI in specific contexts and domains

"It’s not enough for colleges merely to transfer knowledge and skills to AI’s future programmers and stewards. Colleges have a pivotal role to play in preparing all students for life with AI, and advancing human well-being in a digital world."

- President Joseph E. Aoun, Northeastern University

Unique features 

Alignment with job functions and career opportunities: Northeastern's program bridges the gap between theory and practice, emphasizing the practical applications of AI within various professions and industries. Through real-world case studies and industry collaborations, learners develop the knowledge and skills to effectively apply AI technologies in their respective fields, driving tangible results and advancements in industry. 

No programming experience required: Northeastern provides a diverse range of AI education opportunities tailored to learners with varying backgrounds and levels of experience. The Graduate Certificate in AI Applications is designed for learners with little to no programming experience seeking to harness the power of artificial intelligence (AI) within their discipline. 

Real-world application through experiential and practice-based learning: Northeastern prioritizes experiential and practice-based learning to prepare students for successful careers in AI.

Stack your credits 

Lay the foundation for a future MBA or master’s degree: The Online Graduate Certificate in AI Applications can pave the way to a master's degree at Northeastern University—if you earn a B or better, you may be able to apply your credits toward an eligible master's degree or an Online MBA. 

Incrementally advance your education with valuable credentials that immediately help you move forward in your career. 

"[My course] will be grounded in one big question: What does it mean to develop AI and design AI tools that augment and enhance human capabilities, rather than replace them?"

- Steven Geofrey, Associate Teaching Professor

Performance-based admissions

With the Online Graduate Certificate in AI Application’s Fast App pathway, you can skip the traditional application process and use your performance on two initial courses to secure your place in the program.

Complete two “pathway” courses (pulled directly from the required certificate curriculum), get a ‘B’ grade or better, show proof of your bachelor’s degree by the time you complete the two courses, and you’ll join the next cohort in the full certificate program.

⇒ Learn more about Performance-Based Admissions

Current Fast App dates

Term

Submit Fast App between

Enroll by

Start date

Spring 1 November 1 - December 9 December 30, 2024 January 6, 2025
Spring 2 December 10 - February 3 February 17, 2025 February 24, 2025

AI at Northeastern 

AI for all

Northeastern University's Artificial Intelligence and Machine Learning programs stand at the forefront of education in a rapidly evolving field. As a leader in AI Education, Northeastern's offerings are backed by cutting-edge research and a commitment to driving real-world change through its Institute for Experiential AI and diversity of programs offered. 

Through experiential and practice-based learning opportunities, including co-op and externship programs, Northeastern equips students with the hands-on experience and skills needed to succeed in the dynamic landscape of AI and Machine Learning, preparing them to make meaningful contributions to the field upon graduation. 

AI for all

Northeastern University's Artificial Intelligence and Machine Learning programs stand at the forefront of education in a rapidly evolving field. As a leader in AI Education, Northeastern's offerings are backed by cutting-edge research and a commitment to driving real-world change through its Institute for Experiential AI and diversity of programs offered. 

Through experiential and practice-based learning opportunities, including co-op and externship programs, Northeastern equips students with the hands-on experience and skills needed to succeed in the dynamic landscape of AI and Machine Learning, preparing them to make meaningful contributions to the field upon graduation. 

Leadership in AI education

Northeastern University is recognized as a leader in AI Education due to its commitment to pioneering research and education. Through its Institute for Experiential AI and the Burnes Center, Northeastern fosters an environment where faculty and students collaborate on cutting-edge projects, driving innovation and real-world impact in the field of artificial intelligence.

Offerings that meet learners of all backgrounds and levels of experience

Northeastern University provides a diverse range of AI education opportunities tailored to learners with varying backgrounds and levels of experience. From free introductory courses to specialized certificate programs and master's degrees, Northeastern ensures accessibility to AI education for individuals with STEM and technical backgrounds as well as those without prior programming experience, fostering inclusivity and diversity within the field. 

Programs that focus on applications of AI in modern industry

Northeastern's AI courses and programs are designed to bridge the gap between theory and practice, emphasizing the practical applications of AI within various professions and industries. By integrating real-world case studies and industry collaborations into its curriculum, Northeastern equips learners with the skills and knowledge needed to effectively apply AI technologies in their respective fields, driving tangible results and advancements in industry. 

Opportunities for experiential and practice-based learning

Northeastern University prioritizes experiential and practice-based learning to prepare students for successful careers in AI. Through its renowned co-op and externship programs, students gain hands-on experience and exposure to real-world AI applications, enabling them to develop practical skills and build professional networks that future-proof their careers. By emphasizing experiential education, Northeastern ensures that graduates are equipped with the expertise and adaptability needed to thrive in a rapidly evolving AI landscape. 

Submit your Fast App for more information and get started today.

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Fast App pathway courses

Review the course descriptions for the AI Certificate PBA pathway to get an overview of what to expect in your PBA courses. 

CS 5047 Exploring AI Trends and Tools

Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact.  Equips students with the knowledge and skills necessary to confidently navigate the ever-evolving landscape of artificial intelligence.

Course Syllabus: CS5047_Syllabus

PHIL 5110 Responsible AI

The design, development, and deployment of AI interacts with a wide range of values, including fairness, privacy, transparency, autonomy, and well-being. While AI as a technical field is advancing rapidly, enabling applications across domains and sectors, the frameworks, regulations, and ethical tools necessary to realize the promise of AI while promoting and protecting values are not robust. This course develops an understanding of the current legal, regulatory, and ethical landscape, and develops the tools necessary to responsibly engage with AI.

Course Syllabus: PHIL5110_Syllabus

ARTG 6460 Human Centered AI

Explores the foundations of Human-Centered AI in this dynamic graduate course. Examines the critical processes underpinning AI development and deployment. Investigates methodologies for integrating human perspectives into AI systems. Applies user-centered design principles to AI-driven products and services. Analyzes the ethical implications of AI applications in various organizational contexts. Discusses strategies for fostering collaboration between AI technologies and human users. Evaluates case studies showcasing the diverse uses of AI across business processes and products. Engages in hands-on projects to design AI solutions tailored to human needs. Critically assesses the societal impacts of Human-Centered AI adoption. Prepares to contribute to the responsible use of AI systems that prioritize human values and well-being.

Course Syllabus: ARTG6460_Syllabus

MISM 6250 Strategic AI for Business

Explores how artificial intelligence (AI) empowers businesses to enhance competitiveness. Examines  how AI integrates with business strategy. Offers students an opportunity to recommend business solutions through the integration of AI capabilities. Focuses on leveraging machine learning techniques like unsupervised, supervised, and reinforcement learning for data-driven insights. Examines the intersection of managerial practices and AI capabilities through real-world case studies. Students also have an opportunity to gain practical insights into implementation and ethical considerations and navigate the dynamic landscape of AI-driven business transformations.

Course Syllabus: MISM6250_Syllabus

Resources

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Meet the team

Haley Hostetter

Haley Hostetter

Assistant Director of Learner Acquisition

Morgan Francese

Morgan Francese

Success Manager

Jessica Ward

Jessica Ward

Program & Relationship Manager

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