Artificial Intelligence (AI) Certification Program

Begin a career in the cutting-edge field of Artificial Intelligence.

In partnership with the Intel® Digital Readiness Program, and utilizing Intel’s innovative AI for Workforce curriculum, this series of classes empowers the current and future workforce with AI skills focused on AI employability in the digital economy.

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Begin a career in the cutting-edge field of Artificial Intelligence. The Artificial Intelligence (AI) Certification Program offers a progressive learning path, starting with two foundational courses (AI Foundations I and II) that provide essential knowledge and skills in AI concepts as well as Python programming for machine learning. These courses are mandatory and must be taken in sequence. Intermediate courses (ML Infrastructure and Engineering, Computer Vision, Natural Language Processing & Generative AI, or AI for Problem-Solving) combine theoretical knowledge, practical application, and independent research packages to ensure you develop a comprehensive understanding of AI’s technical and ethical dimensions. Two of the four intermediate level courses are required to complete the certification. These courses can be taken in any order and allow you to customize your learning journey according to your interests and career goals. Final projects in each course challenge you to synthesize your acquired knowledge and showcase your proficiency in real-world applications.
Upon successful completion of the program, you will receive LaGuardia Certification in Artificial Intelligence, indicating your expertise in various AI disciplines and readiness to engage with AI challenges in professional settings. Certificate program courses not offered this quarter will be offered in a future quarter. ND

COURSES

Computer Vision (Intermediate)

Prepare to tackle complex visual challenges with AI. Study image processing techniques, image classification, object detection, segmentation and video analysis to develop a computer vision application. This course will help you build skills in image processing and analysis, making you a valuable asset to manufacturing, security and software development companies looking to integrate vision systems into their operations. Prerequisite: AI Foundations I and II (Beginner). (8 weeks, 48 hours) ND

AI for Problem-Solving (Intermediate)

Focusing on the application of AI in complex problem-solving, learn how to identify problems, apply knowledge representation and reasoning, and develop systematic AI solutions. You will confront real-world AI implementation challenges and devise strategies for robust solutions, concluding with a comprehensive AI system proposal aimed at securing grant or federal funding. Prerequisite: AI Foundations I and II (Beginner). (8 weeks, 48 hours)

Natural Language Processing & Generative AI (Intermediate)

If you have a knack for linguistics and coding, this course is for you! Beginning with text processing and progressing through sentiment analysis, machine translation, and speech recognition, acquire the knowledge you need to build AI systems that can comprehend and generate human language. Your final project will involve developing an innovative Natural Language Processing (NLP) or Generative AI application. Prerequisite: AI Foundations I and II (Beginner). (8 weeks, 48 hours)

ML Infrastructure and Engineering (Intermediate)

Analyze the technical aspects of machine learning (ML) workflows and infrastructure in this intermediate-level course. Topics include ML workflow design, cloud computing fundamentals, ML engineering best practices, and MLOps principles. You will learn about advanced data pipelines and scalable infrastructure and will be challenged to design and deploy a scalable ML system as your final project. Prerequisite: AI Foundations I and II (Beginner). (8 weeks, 48 hours) ND

AI Foundations I (Beginner)

Explore the current Artificial Intelligence (AI) landscape, its history and various AI types such as neural networks and decision trees, in this introductory course designed for individuals with little or no AI background. You will also study practical aspects of data management and learn how to evaluate and optimize AI models. Your acquired ability to communicate about AI trends and history will pave the way for continuous learning and upskilling opportunities within your organization or role. (8 weeks, 48 hours) ND

[ September 23, 2024 – November 09, 2024 ]

Location: Online

Weekday: Monday,Wednesday

Time: 06:00 PM – 09:00 PM

Fee: $560

Course Code: ARTI101F24.T23.01.00

Register Now (External Link)

AI Foundations II (Beginner)

Delve into topics such as computational thinking, algorithm design and neural network basics. You will gain hands-on experience with cutting-edge neural architectures, such as convolutional neural networks (CNNs) and generative adversarial networks (GANs). This course also highlights the importance of inclusivity and socio-emotional intelligence in AI, culminating in a project that proposes an ethical AI system. Prerequisite: AI Foundations I (Beginner). (8 weeks, 48 hours) ND

[ December 02, 2024 – February 03, 2025 ]

Location: Online

Weekday: Monday,Wednesday

Time: 06:00 PM – 09:00 PM

Fee: $560

Course Code: ARTI102F24.T23.01.00

Register Now (External Link)

ARTIFICIAL INTELLIGENCE BADGE

The earner of the LAGCC Artificial Intelligence badge has a comprehensive understanding of AI’s technical and ethical dimensions. The earner has the ability to synthesize intermediate AI knowledge and showcase proficiency in real world applications. Learn more.

REQUIREMENTS

Prerequisites

AI Foundations I and II (Beginner). (8 weeks, 48 hours) ND

INSTRUCTOR BIOS

Nayah Boucaud

Nayah Boucaud is a PhD candidate at the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. With a rich background in Artificial Intelligence and Human Cognition, she brings a unique perspective to the classroom, blending rigorous academic research with practical applications in Artificial Intelligence/Machine Learning (AI/ML) Development, Data Science, and User Interface/User Experience (UI/UX) Design. Her work explores the dynamic relationship between computational tools and human intelligence, aiming to empower students with the knowledge and skills to navigate and contribute to the evolving technological landscape. Nayah is deeply committed to fostering an inclusive learning environment that reflects a diversity of perspectives, ensuring that technological advancements serve to augment rather than replace human creativity and critical thinking.

Neeraj Sharma

Neeraj Sharma (Executive MBA and Bachelor Degree in Computer Science) is a seasoned business and technology leader with over two decades of experience in executing and managing large scale implementations in the Data Analytics space. He is a hands-on leader with a special focus on carrying out Artificial Intelligence and Data Analytics projects that solve large scale customer problems and help drive industry innovation. One of Neeraj’s main objectives is to help companies achieve their goals by adopting a data driven approach to their strategic decision-making process with the right use of Artificial Intelligence/Machine Learning and Business Intelligence technologies. Neeraj is a Visiting Faculty Member at Rutgers Business School and has mentored and trained many successful candidates in the AI, Data Analytics, Data Science and Business Intelligence space.

Imran Khan

Imran Khan has over a decade of experience advising corporations, government, non-profits and start-ups on strategy development, formulation and implementation. He has served as a policymaker in federal, state and local government. Imran’s technical areas of expertise include data science, materials science and engineering, and statistics. His academic background is in business administration, applied urban science and informatics, public policy, and biochemistry. Currently, Imran works as a data analytics consultant at the i4 Group and principal at Build Well Labs.

Niteen Kumar

Niteen Kumar (Big Data Specialization, Massachusetts Institute of Technology (MIT); Master Degree in Data Science, Bachelor Degree in Electronics and Communication Engineering), is a multi-skilled data scientist and senior solution architect with a focus on data science, machine learning, advanced analytics and AI for building information driven enterprise. He has over 15 years of experience in the software industry and plays an analytical role in researching, designing, implementing and deploying scalable data science and machine learning solutions. One of his main objectives is to ensure that data science groups adopt the best-in-class processes and techniques. Niteen has expertise in data engineering and Big Data space and brings his years of work experience to the classroom. He worked with one of the major EdTech firms for his online course, “Data Science with Python,” which now has over 18,000 learners. He also worked closely with LaGuardia Community Colleges to develop and launch the micro credential Data Analytics and Data Science Program.

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Data Analytics and Data Science Program

Contact Us

Phone (718) 482-5449 Email kharro@lagcc.cuny.edu

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Ways to Register

Online
By phone:
(718) 482-7244

With payment by MasterCard/Visa/Discover/American Express.
Discounts and waivers apply to all courses except those designated ND.