Best Professional Programs to Build Job-ready Skills

Professional Certificate Courses

Professional Certificates from Great Learning help professionals build in-demand skills through online programs offered in collaboration with leading universities such as MIT Professional Education, MIT IDSS, Johns Hopkins University, Texas McCombs, IIT Bombay and SPJIMR, along with industry experts. Whether you’re looking to upskill, transition into a new role, or deepen your expertise, explore certificate programs across AI, Agentic AI, Data Science, Cloud Computing, Cybersecurity, Software Development, and other high-demand domains.
  • Master emerging technologies and leadership capabilities through industry-aligned online professional courses designed for working professionals.
  • Strengthen your technical expertise with hands-on projects, practical labs, and guidance from renowned faculty and industry experts.
  • Apply your learning to solve complex business challenges and stay competitive in today's AI-driven workplace.

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Career growth & earning potential

  • 39%

    core job skills expected to change by 2030

  • 59 in 100

    workers expected to need training by 2030

  • 85%

    Employers plan to prioritise workforce upskilling

  • 70%

    Employers plan to hire professionals with emerging skills

Careers across in-demand domains

Build job-relevant skills with university-backed professional certificate programs.

  • AI/ML Engineer

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  • Cloud Architect

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Choose a Professional Course that suits your goals

Program Name Certificate Program in Agentic AI No Code and Agentic AI Applied Generative AI and Agentic AI Applied AI and Data Science Program AI and Agentic AI in Healthcare AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Certificate Program in AI Business Strategy AI-Native Professional: Workflows and Agents for Productivity Data Analytics Essentials AI Native Professional For Finance Professional Certificate in Generative AI and Agents for Software Development AI Native Professional For HR Certificate Program in AI and Agentic AI Engineering AI Native Professional For Marketing AI and Agentic AI in Finance AI for Senior Executives Program No-Code Generative AI and Agentic AI Certificate Program in Artificial Intelligence: Applied ML, GenAI, and Agents Professional Certificate in Cybersecurity: IT and Data Security in the Age of AI PG Program in Artificial Intelligence and Machine Learning: Business Applications Post Graduate Program in Cyber Security PG Program in Artificial Intelligence for Leaders Post Graduate Program in Data Science with Generative AI: Applications to Business PG Program in Cloud Computing: Leveraging GenAI Postgraduate Program in AI Agents and Generative AI for Business Applications Post Graduate Program in AI Agents for Business Applications Chief Technology Officer (CTO) Program Blended Professional Certificate: Technology Leadership Program Chief Human Resources Officer (CHRO) Program Chief Artificial Intelligence Officer Program AI Transformation and Leadership Chief Marketing Officer Program General Management Program
Duration 18 Weeks 14 Weeks 16 weeks 15 Weeks 10 weeks 12 weeks 10 weeks 6 Weeks 22 Weeks 6 weeks 14 weeks 6 weeks 22 Weeks 6 weeks 10 Weeks 6 Months 12 Weeks 5 Months 14 Weeks 23 Weeks 20 weeks 4 Months 7 months 6 months 3 Months 12 Weeks 6 Months 8 Months 8 Months 6 months 10 Weeks 7 months 7 months
Format Online Online Online Live Virtual online Online Online Online Online Mentored Mentored Mentored Mentored Mentored Mentored Blended Mentored Online online Online Online Online Online Online Mentored Online Blended Blended Blended Blended Mentored Blended Blended
Eligibility STEM/Data professionals & technical managers, product managers, and aspiring tech professionals (Python pre-work module included for beginners). The prerequisites of the program include fundamentals of mathematics and statistics. Tech & Data professionals, new graduates in science or math Early-career professionals or senior managers with early knowledge of applied math & statistics Ideal for professionals in healthcare who want to leverage Artificial Intelligence to address challenges and enhance decision-making in the healthcare domain Early-career professionals/senior managers with basic knowledge of math & applied stats Open to learners from all professional and educational backgrounds Functional professionals who spend hours on repetitive knowledge work want to use AI to boost their productivity. Young and mid career professional who want to up skill in data or business analysis Designed for finance professionals with strong analytical fundamentals, and requires no prior programming or AI experience to join Individuals seeking to build or advance careers in modern software development by leveraging full-stack technologies and Generative AI tools Designed for working HR professionals with strong domain knowledge, requires no coding or technical background to master the workflows Tailored for working professionals with a foundational knowledge of AI Designed for marketing professionals with strong domain knowledge, and requires absolutely no prior AI or coding experience Designed for professionals with a foundational understanding of Finance. No prior background in Artificial Intelligence or Machine Learning is necessary A minimum of 10 years of work experience in functional, technical, or business roles A graduate degree with a strong academic track record is preferred. A minimum of one professional reference to discuss your candidacy in detail. Functional Professionals, Technology Professionals, Business Analysts, or Enthusiasts seeking to integrate AI into their workflows, gain actionable insights, or boost productivity. No prior programming knowledge is required. Functional Professionals, Technology Professionals, Business Analysts, or Enthusiasts seeking to integrate AI into their workflows, gain actionable insights, or boost productivity. Suitable for freshers and Professionals looking to expand their cyber security knowledge Bachelor's degree with a minimum aggregate of 50% or equivalent scores. Suitable for freshers and Professionals with 2 years of experience looking to expand their cyber security knowledge Bachelor's degree with a minimum of 50% aggregate marks or equivalent Suitable for anyone looking keen to expand their Data Science and Business Analytics knowledge Ideal for tech professionals, career changers and early-career individuals or freshers starting in cloud computing. Professionals across career stages seeking a flexible learning track to build Agentic AI systems, automate workflows, and drive Generative AI adoption. Designed for professionals at different stages of their careers. Ideal for those looking to advance their knowledge and skills in building Agentic AI systems. Senior Technology Leaders and Aspiring CTOs (10+ Years' Experience) Emerging Technology Leaders, CEOs, and CTOs (6+ Years' Experience) Senior HR Leaders and Executives (10+ Years' Experience) Senior Leaders and Functional Heads (10+ Years' Experience) Ideal for senior leaders, innovation executives, and functional managers seeking AI-driven business transformation. No technical background required. Senior Marketing and Commercial Leaders (10+ Years' Experience) Senior Professionals and Business Heads (10+ Years' Experience)
Career support Create an industry-ready portfolio of work and improve your chances of getting hired Use your ePortfolio to showcase your skills and improve your chances of getting hired. Use your ePortfolio to showcase your skills Build an industry-ready portfolio to showcase your mastery of Data Science skills Personalized Assistance with a Dedicated Program Manager + Industry Mentor E-portfolio showcasing projects & mentorship No career support Access the AI Fluency Career Guide to build a standout resume and professional portfolio. Get your resume and LinkedIn profile reviewed by our experts to highlight your skills & projects Comprehensive GL Learning Support, which gives you access to Peer Groups, a Dedicated Program Manager, and Academic Support throughout the entire 6-week journey Get personalized Program Manager support and build an industry-ready e-portfolio to showcase your skills. GL Learning Support, Peer Groups, Dedicated Program Manager, and Academic Support AI-powered Resume Builder and AI-powered mock interviews to help you prepare for job applications and interviews. The program also includes hands-on projects, portfolio development, and industry mentorship. Capstone projects, dedicated peer groups Get personalized guidance, community support, and an industry-ready e-Portfolio featuring real-world financial AI projects Strengthens your professional profile through a Certificate of Completion, valuable networking opportunities with peers and Applied Physics Lab experts during a 4-day on-campus immersion, and a 15% alumni discount on future engineering executive programs. Personalized guidance from a Program Manager, plus academic support through the GL community and peer forums. Personalized guidance from a Program Manager, plus academic support through the GL community and peer forums. Use your ePortfolio to showcase your skills Job role prep with mock interviews, resume building, and e-portfolio review Use your ePortfolio to showcase your skills Job role prep with mock interviews, resume building, and e-portfolio review Build an industry-ready portfolio. Dedicated career support services, which include personalized career mentoring, resume-building sessions, interview preparation, and e-portfolio development with industry experts Get personalized Program Manager support and build an industry-ready e-portfolio to showcase your skills. Develop an industry-ready portfolio that showcases your mastery of skills and tools Industry Mentors and Texas McCombs Alumni Network Access MIT Professional Education Alumni Status and Interactive Team Projects CHRO Advisory Labs and Duke Network Access Fuqua Alumni Directory and CareerBridge Access Certificate of Completion, a digital badge for LinkedIn, and access to a private LinkedIn group for ongoing executive networking and professional visibility. Executive Peer Network and Faculty Interaction Capstone Guidance and CareerBridge Access
Fees USD 3,450 USD 2,850 USD 3,450 USD 3,900 USD 2,990 USD 2,500 USD 2,600 USD 999 USD 3,100 USD 999 USD 2,950 USD 999 USD 3,500 USD 999 USD 2,900 USD 16,000 USD 2,950 USD 3,700 USD 2,950 USD 3,950 USD 2,950 USD 3,100 USD 3,950 USD 3,500 USD 3,450 USD 3,450 USD 18,000 USD 28,000 USD 25,000 USD 25,000 USD 3,200 NA NA
 

Meet Your Faculty

  • Dr. Ian McCulloh  - Faculty Director

    Dr. Ian McCulloh

    Manager of Artificial Intelligence Continuing and Executive Education, Johns Hopkins University

    Served as Chief Data Science and MD of AI, Accenture Federal Services

    Author of three books and over 100 peer-reviewed papers

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  • Thomas Byrd, JD.  - Faculty Director

    Thomas Byrd, JD.

    Professor – Johns Hopkins University

    Ex-VP & Enterprise Security, Senior Cybersecurity Manager – T. Rowe Price

    Cyber leader at the FBI and Department of Defense, he has played a key role in advancing US government cyber capabilities.

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  • Markus J. Buehler  - Faculty Director

    Markus J. Buehler

    Jerry McAfee (1940) Professor of Engineering, MIT

    Member of the Center for Materials Science and Engineering

    Received ASME Drucker Medal, the Feynman Prize, the IACM Fellows Award

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  • Christine Moorman  - Faculty Director

    Christine Moorman

    T. Austin Finch, Sr. Professor of Marketing

    The CMO Survey Founder and ex Editor-in-Chief of Journal of Marketing

    Award-winning marketing strategy expert and customer-centric leader

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  • Manuel Adelino - Faculty Director

    Manuel Adelino

    Senior Associate Dean for Faculty and Professor of Finance

    Ph.D. in Financial Economics, MIT Sloan

    Former Business Analyst, McKinsey Lisbon

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  • Dr. Abhinanda Sarkar - Faculty Director

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning

    30+ years of experience in data science, ML, and analytics.

    Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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  • Dr. Kumar Muthuraman - Faculty Director

    Dr. Kumar Muthuraman

    Faculty Director, McCombs School of Business, The University of Texas at Austin

    Faculty Director, Center for Analytics and Transformative Technologies

    21+ years' experience in AI, ML, Deep Learning, and NLP.

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  • Stefanie Jegelka - Faculty Director

    Stefanie Jegelka

    Associate Professor, EECS and IDSS

    Expert in algorithms and optimization for AI.

    Pioneer advancing theoretical machine learning foundations.

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  • Caroline Uhler - Faculty Director

    Caroline Uhler

    Professor, EECS and IDSS

    Expert in computational biology, statistics, and systems.

    Award-winning scholar relentlessly driving transformative data insights.

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  • Dr. Pedro Rodriguez  - Faculty Director

    Dr. Pedro Rodriguez

    Faculty, Johns Hopkins University AI Program

    Oversees 250+ AI/ML researchers on projects for the Department of Defense, Intelligence Community, and other government agencies

    Brings 20+ years of expertise in AI/ML algorithms for detection, tracking, classification, and sensor fusion

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  • Daniel Byrne  - Faculty Director

    Daniel Byrne

    Award-winning author, Teacher, and Faculty member, Johns Hopkins University

    40+ years in AI, predictive modeling, and healthcare.

    Published 165+ scientific papers on AI and patient outcomes

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  • Dr. Lanier Watkins  - Faculty Director

    Dr. Lanier Watkins

    Principal Cybersecurity Research Professor - Johns Hopkins University

    Holds a PhD in Computer Science and 3 MS degrees (Biotechnology, Computer Science, and Physics)

    Published over 60 papers and journals, teaches 4 courses, and holds several patents.

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  • John  Hart - Faculty Director

    John Hart

    Professor of Mechanical Engineering, MIT Mitsui Career Development Professor of Contemporary Technology, MIT

    Published 125+ papers in peer-reviewed journals and is co-inventor on 50+ patents

    Co-founded three advanced manufacturing startup companies, including Desktop Metal

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  • Dr. Shelby Wilson  - Faculty Director

    Dr. Shelby Wilson

    Senior Data Scientist - The Johns Hopkins University Applied Physics Laboratory

    Expert in applied mathematics, computational epidemiology, and ML.

    Over a decade of experience solving real-world problems with mathematical and AI tools.

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  • Dr. Anthony (Tony) Johnson  - Faculty Director

    Dr. Anthony (Tony) Johnson

    Senior Professional Staff Member and Research Scientist, Applied Physics Laboratory, Whiting School of Engineering, Johns Hopkins University

    Prominent academic leader overseeing innovative engineering programs.

    Expert in robotics, data science, and advanced computing fields.

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  • Salman Azhar - Faculty Director

    Salman Azhar

    Executive in Residence

    Invested in 200+ startups with profitable early exits

    Former Managing Director and Founding Member of Duke Capital Partners

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  • Dr. Iain Cruickshank  - Faculty Director

    Dr. Iain Cruickshank

    Faculty Member, Johns Hopkins University

    ML expert applying AI to intelligence, cybersecurity, and social data

    Ph.D, Societal Computing, Carnegie Mellon University School of Computer Science

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  • Olivier  de Weck - Faculty Director

    Olivier de Weck

    Associate Department Head; Apollo Program Professor; Editor-in-Chief of the Journal of Spacecraft and Rockets

    Fellow of INCOSE and AIAA

    Received most promising textbook of 2024 award 'Technology Roadmapping and Development'

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  • Gavan Fitzsimons  - Faculty Director

    Gavan Fitzsimons

    Edward S and Rose K Donnell Professor of Marketing and Psychology

    Duke Professor exploring unconscious consumer influence

    Research featured in top journals and global media outlets

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  • Mr. Nirmallya Mukherjee - Faculty Director

    Mr. Nirmallya Mukherjee

    Program Director & Faculty - PGPCC, Great Learning

    25+ years across IT/ITES in services and products

    Ex-Chief Architect at Dell, Principal Architect at Infosys

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  • John N. Tsitsiklis - Faculty Director

    John N. Tsitsiklis

    Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

    Leader in optimization, control, and learning.

    Renowned scholar with multiple prestigious accolades.

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  • Munther Dahleh - Faculty Director

    Munther Dahleh

    William A. Coolidge Professor, EECS and IDSS; Founding Director, IDSS

    Trailblazer in robust control and computational design.

    Director propelling interdisciplinary research and innovation.

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  • Dr. Pavankumar Gurazada - Faculty Director

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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  • Vivienne Sze  - Faculty Director

    Vivienne Sze

    Professor of Electrical Engineering and Computer Science, MIT

    Received Primetime Engineering Emmy Award for the High-Efficiency Video Coding

    Co-author of the book entitled “Efficient Processing of Deep Neural Networks”

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  • Dr. William Gray-Roncal  - Faculty Director

    Dr. William Gray-Roncal

    Principal Research Scientist - Johns Hopkins University Applied Physics Laboratory

    Expert in data science, neuroscience, AI, and precision medicine.

    Leads cutting-edge research in brain network mapping and analysis.

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  • Wilfred Amaldoss  - Faculty Director

    Wilfred Amaldoss

    Thomas A. Finch Jr. Professor of Marketing

    Duke Professor advancing pricing & advertising strategy

    Award-winning Duke professor shaping market insights

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  • Alexandre Belloni - Faculty Director

    Alexandre Belloni

    Westgate Distinguished Professor of Decision Sciences

    2022 Da Vinci Award, Amazon SCOT

    2007 Young Researchers Award, Optimization

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  • Richard  D. Braatz - Faculty Director

    Richard D. Braatz

    Edwin R. Gilliland Professor of Chemical Engineering, MIT

    Collaborated with more than 20 companies

    Published over 200 papers and three books

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  • Gavan  Fitzsimons - Faculty Director

    Gavan Fitzsimons

    Edward S and Rose K Donnell Professor of Marketing and Psychology

    Research published in top marketing & psychology journals

    Insights featured in NYT, WSJ, CNN, NPR, Time

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  • Jeremy Samuelson  - Faculty Director

    Jeremy Samuelson

    Executive VP, AI and Innovation, Integrated Quantum Technologies

    University of Arizona alumnus with 15+ years in AI consulting

    Generative AI Consultant at Brillio, enhancing logistics operations

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  • Randhir Agarwal - Faculty Director

    Randhir Agarwal

    Director, Data Science

    MS in Data Science from Northwestern; 20+ years' experience

    Leads transformative AI/ML initiatives at Samsung Electronics America

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  • Mohit Batra  - Faculty Director

    Mohit Batra

    Faculty - PGPCC, Great Learning Founder of CRYSTAL TALKS , Crystal Talks

    20+ years in BI, Big Data, AI; Ex-Microsoft professional

    Author on Pluralsight, O'Reilly, ACloudGuru

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  • Mr. R Vivekanand - Faculty Director

    Mr. R Vivekanand

    Co-Founder and Director

    Expert in data visualization and marketing econometrics with 10+ years

    Qualified Tableau trainer passionate about teaching business analytics

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  • Devavrat Shah - Faculty Director

    Devavrat Shah

    Andrew (1956) and Erna Viterbi Professor, EECS and IDSS

    Renowned expert in large-scale network inference.

    Award-winning innovator in data-driven decisions.

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  • Jinhua  Zhao - Faculty Director

    Jinhua Zhao

    Edward H. and Joyce Linde Associate Professor Director, MIT Mobility Initiative, Interdepartmental Transportation Program Director

    Interdepartmental Transportation Program Director

    Founded and directs the MIT Mobility Initiative

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  • Sharique  Hasan - Faculty Director

    Sharique Hasan

    Associate Professor of Strategy

    Published research in leading journals across strategy and innovation

    Award-winning Duke faculty member teaching strategy and implementation

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  • Dr. Pavankumar Gurazada - Faculty Director

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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  • Balaji Sundararaman - Faculty Director

    Balaji Sundararaman

    Ex Director, CyberPlat India

    Over 25 years driving innovation in Telecom and Fintech

    Expert in scalable tech solutions and emerging technologies

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  • William  D. Oliver - Faculty Director

    William D. Oliver

    Professor of Electrical Engineering and Computer Science, MIT Professor of the Practice, Physics, MIT Associate Director, Research Laboratory of Electronics, MIT Laboratory Fellow, MIT Lincoln Laboratory

    President, INFORMS Auctions & Market Design

    Council of Economic Advisors, Croatia (2010–2015)

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  • Veronica  Root Martinez  - Faculty Director

    Veronica Root Martinez

    Simpson Thacher & Bartlett Distinguished Professor of Law

    Nation’s leading academic expert on monitors and monitorships

    Former Notre Dame Law professor, recipient of multiple teaching awards

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  • Sunil Kumar Vuppala - Faculty Director

    Sunil Kumar Vuppala

    Director-Data Science

    IIT Roorkee, IIM Ahmedabad alumnus with 20+ years of experience

    Director at Ericsson specializing in AI, ML, and analytics

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  • Denver Dias - Faculty Director

    Denver Dias

    Senior Data Science Consultant

    Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms

    Expert in A/B testing, ML models, and predictive analytics

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  • Cathy  Wu  - Faculty Director

    Cathy Wu

    Gilbert W. Winslow Career Development Assistant Professor in Civil and Environmental Engineering (CEE)Member of the Laboratory for Information and Decision Systems (LIDS)Member of the Institute for Data, Systems, and Society (IDSS)

    Founder & Chair - Research Initiative at ACM Future of Computing Acad.

    Experience at Microsoft Research, OpenAI, Google X, AT&T, Facebook

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  • Shep  Moyle - Faculty Director

    Shep Moyle

    Senior Lecturing Fellow, Duke Innovation & Entrepreneurship

    Led Shindigz as president, CEO, and chairman for 31 years

    Created major Tostitos product lines, driving sales to $1.5B

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  • Pulkit  Agarwal  - Faculty Director

    Pulkit Agarwal

    Associate Professor of Electrical Engineering and Computer Science, MIT Director, Improbable AI Lab, MIT

    Co-founded SafelyYou, an org. that builds fall prevention technology

    Co-founded AI Foundry, an incubator for AI startups

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  • Christopher Bail  - Faculty Director

    Christopher Bail

    Professor of Sociology, Duke University

    Director of the Trinity Social AI Initiative

    Professor of Computer Science and Political Science

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  • Jelena Notaros  - Faculty Director

    Jelena Notaros

    Robert J. Shillman (1974) Career Development Assistant Professor

    Listed in 2021 Forbes 30 Under 30

    Received the 2023 NSF CAREER Award

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  • Mr. Udit Mehrotra - Faculty Director

    Mr. Udit Mehrotra

    Data Scientist, Stripe

    10+ years of experience in data science

    Former Data Scientist at Mc.Kinsey & Company, Dell

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  • Ashleigh Shelby Rosette  - Faculty Director

    Ashleigh Shelby Rosette

    James L. Vincent Professor of Leadership

    Duke Fuqua Professor specializing in leadership, gender and race

    Her research has been featured in NYT, WSJ, Forbes, CNN, etc

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  • Tony  Eng - Faculty Director

    Tony Eng

    Senior Lecturer, Electrical Engineering and Computer Science, MIT

    Has degrees in Computer Science, Mathematics and Biology

    Teaches courses and runs workshops in oral communication

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  • Shep Moyle  - Faculty Director

    Shep Moyle

    Senior Lecturing Fellow, Innovation & Entrepreneur

    Led Shindigz as president, CEO, and chairman for 31 years

    Created major Tostitos product lines, driving sales to $1.5B

    Know More
  • Sasa Pekec - Faculty Director

    Sasa Pekec

    Peterjohn-Richards Distinguished Professor of Decision Sciences

    President, INFORMS Auctions & Market Design

    Council of Economic Advisors, Croatia (2010–2015)

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  • Tamara Broderick - Faculty Director

    Tamara Broderick

    Associate Professor, EECS and IDSS, MIT.

    Expert in machine learning and statistics, focusing on Bayesian methods and graphical models.

    Committed to advancing scalable, non-parametric, and unsupervised learning techniques in research.

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  • Michael  Davies  - Faculty Director

    Michael Davies

    Lecturer, MIT

    Co-founder and Chairman of Silverthread, Inc.

    Board Member of the Kendall Square Association

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  • Jamie Jones  - Faculty Director

    Jamie Jones

    Associate Professor of the Practice and Director for Duke Innovation & Entrepreneurship

    Co-founder at Impact Engine

    Recognized by the Triangle Business Journal 40 Under 40

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  • Ashleigh Shelby Rosette - Faculty Director

    Ashleigh Shelby Rosette

    James L. Vincent Professor of Leadership

    Bank of America Faculty Award, Fuqua

    Teaching Excellence Award, 12-time recipient

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  • Blade  Kotelly - Faculty Director

    Blade Kotelly

    Senior Lecturer, Bernard M. Gordon-MIT Engineering Leadership Program

    Authored The Art and Business of Speech Recognition: Creating the Noble Voice

    Featured in The New York Times, Wall Street Journal, TechTV, NPR, BBC, etc.

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  • Aaron Dinin  - Faculty Director

    Aaron Dinin

    Senior Lecturing Fellow, Innovation & Entrepreneurship

    Early product dev, customer acquisition, and monetization specialist

    Expert in tech entrepreneurship, software development, and sales tech

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  • Philippe Rigollet - Faculty Director

    Philippe Rigollet

    Professor, Mathematics and IDSS, MIT

    Specializes in high-dimensional statistical methods, integrating concepts from statistics, machine learning, and optimization.

    Recent focus on optimal transport and its applications in geometric data analysis and sampling.

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  • Javier de Luis  - Faculty Director

    Javier de Luis

    Lecturer of Aeronautics and Astronautics at the Department of Aeronautics and Astronautics at MIT

    Appointed to the FAA Expert Panel charged with reviewing Boeing safety culture

    Served as the principal investigator for multiple aerospace research projects

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  • Matthew Manary  - Faculty Director

    Matthew Manary

    Adjunct Professor of Business Administration, Fuqua School of Business

    Customer Relationship Management (CRM) and market intelligence expert

    Has won awards in operations research and inventory optimization

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  • Bhaskar  Pant - Faculty Director

    Bhaskar Pant

    Executive Director, MIT

    Served as the first President of Turner Broadcasting's South Asia subsidiary

    Held senior leadership positions at multiple companies over three decades.

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  • Adam Dumey  - Faculty Director

    Adam Dumey

    Global Vice President- Retail, World Wide Technology

    Technology leader specializing in scaling AI and cloud computing

    20+ years of leadership experience in digital transformation

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  • Victor Chernozhukov - Faculty Director

    Victor Chernozhukov

    Professor, Economics and IDSS, MIT

    Renowned expert in econometrics, mathematical statistics, and machine learning, focusing on high-dimensional uncertainty.

    Recognized fellow of The Econometric Society, with numerous prestigious awards and honors.

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  • Brian  Anthony - Faculty Director

    Brian Anthony

    Associate Director, MIT.nano; Faculty Lead, Industry Immersion Program in Mechanical Engineering

    Emmy Award Winner in broadcast technical innovation

    20+ years of experience in product realization, tech innovation,and entrepreneurship

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  • Dr. Jacqueline M. Wolfrum  - Faculty Director

    Dr. Jacqueline M. Wolfrum

    Codirector of Biomanufacturing@MIT-CBI at the MIT Center for Biomedical Innovation Director of BioMAN

    Industrial experience in cell-based therapies

    Director at BioMAN

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  • Guy Bresler - Faculty Director

    Guy Bresler

    Associate Professor, EECS and IDSS, MIT

    Engaged in rigorous mathematical modeling at the intersection of engineering and mathematics to tackle real-world challenges.

    Investigates combinatorial structures and computational tractability, yielding theoretical advancements in high-dimensional inference and applications.

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  • Abel  Sanchez - Faculty Director

    Abel Sanchez

    Research Scientist, MIT

    He advises companies in the Americas, Europe, and the Middle East

    Pioneered password security with a Negative Authentication (NA) system

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  • Afreen  Siddiqi - Faculty Director

    Afreen Siddiqi

    Research Scientist, Department of Aeronautics and Astronautics

    Research Scientist in the Department of Aeronautics and Astronautics at MIT

    Recipient of the Amelia Earhart and Richard D.DuPont Fellowships & Rene H. Miller Prize

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  • David Gamarnik - Faculty Director

    David Gamarnik

    Nanyang Technological University Professor of Operations Research, Sloan School of Management and IDSS, MIT

    Expertise in probability, random graphs, algorithms, and queueing theory within Operations Research, fostering theoretical advancements.

    Award-winning researcher, with accolades like the Erlang Prize, reflecting significant contributions to operational methodologies.

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  • Dr. Stacy Springs  - Faculty Director

    Dr. Stacy Springs

    Executive Director, MIT Center for Biomedical Innovation (CBI)

    Chair of Landmark Bio’s Science and Technology Committee

    Principal investigator on research programs in biologics manufacturing

    Know More
  • Ben  Waber - Faculty Director

    Ben Waber

    Co-Founder Humanyze, Visiting Scientist, MIT Media Lab

    Research named as Top 10 Emerging Tech by the MIT Technology Review

    Honorary chairman of the Japan People Analytics and HR Technology Association

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  • Kalyan Veeramachaneni - Faculty Director

    Kalyan Veeramachaneni

    Principal Research Scientist at the Laboratory for Information and Decision Systems, MIT.

    Specializes in machine learning and large-scale statistical models for insights from vast data sets.

    Director of the "Data to AI" group, tackling challenges in AI applications for societal impact.

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  • Neil  Thompson - Faculty Director

    Neil Thompson

    Director of the FutureTech Research Project, MIT Computer Science and Artificial Intelligence Lab and Principal Investigator, MIT Initiative on the Digital Economy

    Has worked at Lawrence Livermore National Laboratory, Bain and Company, etc.

    Advised businesses and government on the future of Moore’s Law

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  • Jonathan Kelner - Faculty Director

    Jonathan Kelner

    Professor, Mathematics, MIT

    Expert in algorithms, complexity theory, and theoretical computer science, contributing significantly to applied mathematics research.

    Distinguished educator honored with multiple teaching awards, including the MIT Harold E. Edgerton Faculty Achievement Award.

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  • Ben Armstrong   - Faculty Director

    Ben Armstrong

    Executive Director, Industrial Performance Center Co-Lead, Work of the Future Initiative

    Research has been published or featured in the New York Times, Forbes, etc.

    Co-Lead, Work of the Future Initiative

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  • Ankur Moitra - Faculty Director

    Ankur Moitra

    International Career Development Professor, Applied Mathematics and IDSS, MIT

    Recognized mathematician advancing data science and statistics through innovative research and educational leadership.

    Recipient of multiple prestigious awards, including the Alfred P. Sloan Fellowship and NSF CAREER award, reflecting scholarly excellence.

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  • Dr. Richard Freishtat - Faculty Director

    Dr. Richard Freishtat

    Associate Dean, Executive Education

    Faculty since 2013, teaching leadership to global executives

    Leads strategy and delivery for Duke Executive Education programs

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  • David Hoffman  - Faculty Director

    David Hoffman

    Steed Family Professor of the Practice of Public Policy

    Cyber security Expert, Privacy, and Science-Society Specialist

    Former Intel Associate General Counsel and Global Privacy Officer.

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  • Kelly Breslin Wright  - Faculty Director

    Kelly Breslin Wright

    Instructor, Duke Executive Education; Founder/CEO of Culture Driven Sales

    Former EVP, Sales Tableau

    Former President/COO, Gong

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Learn from Industry Experts and Mentors

  •  Serdar Cellat - Mentor

    Serdar Cellat

    Principal Data Scientist Liberty Mutual Insurance
    Liberty Mutual Insurance Logo
  •  Deepak Shukla - Mentor

    Deepak Shukla

    Product Manager - Digital Customer Experience, Nissan Nissan Motors
    Nissan Motors Logo
  •  Nitish Jaipuria - Mentor

    Nitish Jaipuria

    Strategist (Data Science) Google
    Google Logo
  •  Bhuvaneswari Subramani - Mentor

    Bhuvaneswari Subramani

    Director of Engineering Ops, GT Nexus GT Nexus
    GT Nexus Logo
  •  Weibiao (Wilson) Huang - Mentor

    Weibiao (Wilson) Huang

    Analytics Consultant

    Boston Consulting Group (Singapore)

    Boston Consulting Group
    Boston Consulting Group Logo
  •  Amit Shukla - Mentor

    Amit Shukla

    Cloud Architect, IBM
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  •  Amit Nema - Mentor

    Amit Nema

    Big Data Architect, Capgemini Capgemini
    Capgemini Logo
  •  Dale Seema - Mentor

    Dale Seema linkin icon

    Data Science Specialist FNB
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  •  Mukesh kumar - Mentor

    Mukesh kumar

    Adjunct Professor, Great Lakes Great Lakes
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  •  Amit Jain - Mentor

    Amit Jain

    Deputy Manager - Business Analytics & Business Intelligence

    Keppel Corporation Limited (Singapore)

    Keppel
    Keppel Logo
  •  Aniket Amdekar - Mentor

    Aniket Amdekar linkin icon

    General Manager - Cyber Defence Education Great Learning
    Great Learning Logo
  •  Jeremy Samuelson  - Mentor

    Jeremy Samuelson

    Executive VP, AI and Innovation, Integrated Quantum Technologies
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  •  Evans Otalor - Mentor

    Evans Otalor linkin icon

    Chief Data Officer at Bahcode
    Company Logo
  •  Vaibhav Verdhan  - Mentor

    Vaibhav Verdhan

    Senior Director Global, AstraZeneca
    Company Logo
  •  Phumzile Phantsi - Mentor

    Phumzile Phantsi

    Data Scientist

    ABSA Group (South Africa)

    ABSA Group
    ABSA Group Logo
  •  Adaikalavan Ramasamy - Mentor

    Adaikalavan Ramasamy

    Senior Research Scientist

    Genome Institute of Singapore (GIS)

    GIS
    GIS Logo
  •  Wole Ogungbesan - Mentor

    Wole Ogungbesan

    Director - Advance Analytics & Automation

    UBS (United Kingdom)

    UBS
    UBS Logo
  •  Tanya Glozman  - Mentor

    Tanya Glozman linkin icon

    Applied Science - AI/ML, Apple
    Apple Logo
  •  Prabhat Bhattarai - Mentor

    Prabhat Bhattarai linkin icon

    Data Scientist Apple
    Apple Logo
  •  Angel Das - Mentor

    Angel Das linkin icon

    Data Science Consultant IQVIA Asia Pacific
    IQVIA Asia Pacific Logo
  •  G Anthony Reina  - Mentor

    G Anthony Reina linkin icon

    Head of Machine Learning, Stealth BioTech Startup
    Company Logo
  •  Adnan Hadi  - Mentor

    Adnan Hadi linkin icon

    AI Governance Specialist at BMO
    Company Logo
  •  Priyanka Singhal  - Mentor

    Priyanka Singhal linkin icon

    Assistant Vice President (AI Research), US Bank
    Company Logo
  •  Bridget Huang-Gregor  - Mentor

    Bridget Huang-Gregor linkin icon

    GenAI/ML Engineer at Amazon Web Services (AWS)
    Company Logo
  •  Ivan Marchany  - Mentor

    Ivan Marchany linkin icon

    SOAR Engineer
    Company Logo
  •  Dr. Sunil Kumar Vuppala  - Mentor

    Dr. Sunil Kumar Vuppala

    AI Partner, ArisGlobal
    Company Logo
  •  Aishwarya Krishna Allada  - Mentor

    Aishwarya Krishna Allada

    Senior Data Scientist
    Company Logo
  •  Marcelo Guarido de Andrade - Mentor

    Marcelo Guarido de Andrade linkin icon

    Research Assistant at University of Calgary University of Calgary
    University of Calgary Logo
  •  Omar Attia - Mentor

    Omar Attia

    Senior Machine Learning Engineer Apple (US)
    Apple (US) Logo
  •  Nikhila Kambalapalli - Mentor

    Nikhila Kambalapalli

    Consultant, Data Science
    Company Logo
  •  Randhir Agarwal  - Mentor

    Randhir Agarwal

    Director, Data Science & Data Engineering, Samsung Electronics
    Samsung Electronics Logo
  •  Amin Mansouri  - Mentor

    Amin Mansouri linkin icon

    Cloud Security Architect | Security & DevOps
    Company Logo
  •  Saurabh Kango  - Mentor

    Saurabh Kango linkin icon

    Manager Data and AI programs at Meta.
    Company Logo
  •  Vibhor Kaushik  - Mentor

    Vibhor Kaushik

    Senior Machine Learning Scientist, Amazon
    Company Logo
  •  Sriharsha Ramaraju  - Mentor

    Sriharsha Ramaraju linkin icon

    Senior Data Scientist at Psychiatry-UK.
    Company Logo
  •  Vinicio Desola Jr  - Mentor

    Vinicio Desola Jr

    Senior AI Engineer Newmark
    Newmark Logo
  •  Olayinka Fadahunsi - Mentor

    Olayinka Fadahunsi linkin icon

    Head of Data Science and Engineering
    Company Logo
  •  Kalle Bylin  - Mentor

    Kalle Bylin linkin icon

    Product Engineer, Workday
    Company Logo
  •  Matt Nickens - Mentor

    Matt Nickens

    Senior Manager, Data Science CarMax
    CarMax Logo
  •  Reza Bagheri  - Mentor

    Reza Bagheri

    Data Scientist
    Company Logo
  •  Pankaj Kumar  - Mentor

    Pankaj Kumar linkin icon

    Data Science Manager Republic Finance
    Republic Finance Logo
  •  Sundeep Pothula  - Mentor

    Sundeep Pothula linkin icon

    Product Data Scientist Moveworks
    Moveworks Logo
  •  Nirmal Budhathoki  - Mentor

    Nirmal Budhathoki

    Senior Data Scientist Microsoft
    Microsoft Logo
  •  Mohit Khakaria  - Mentor

    Mohit Khakaria

    Senior Machine Learning Engineer Ford Motor Company
    Ford Motor Company Logo
  •  Anis Sharafoddini - Mentor

    Anis Sharafoddini

    Data Scientist Lead
    Company Logo
  •  Udit Mehrotra - Mentor

    Udit Mehrotra

    Senior Data Scientist Google
    Google Logo
  •  Omid Badretale - Mentor

    Omid Badretale linkin icon

    Senior Research Data Scientist | Alternative Data RBC Capital Markets
    RBC Capital Markets Logo
  •  Avinash Ramyead - Mentor

    Avinash Ramyead

    Senior Quantitative UX Researcher / Data Scientist / Behavioral Scientist in Video ML
    Company Logo
  •  Edward Krueger - Mentor

    Edward Krueger

    Principal Data Scientist and Proprietor
    Company Logo
  •  Amish Suchak  - Mentor

    Amish Suchak

    Data Science Team Lead XSOLIS
    XSOLIS Logo
  •  Paolo Esquivel - Mentor

    Paolo Esquivel linkin icon

    Senior Data Scientist
    Company Logo
  •  Nirupam Sharma  - Mentor

    Nirupam Sharma

    Data Science Vice President Big Village
    Big Village Logo
  •  Anuj Saini  - Mentor

    Anuj Saini linkin icon

    Principal Data Scientist, RPX Corporation
    Company Logo
  •  Yogesh Singh   - Mentor

    Yogesh Singh linkin icon

    Partner Consultant, NSArrows
    Company Logo
  •  Deepa Krishnamurthy  - Mentor

    Deepa Krishnamurthy

    Director, AI Solutions Engineering Koru
    Koru Logo
  •  Rushabh Shah  - Mentor

    Rushabh Shah

    Software Developer, Kyra Solutions
    Company Logo
  •  Marco De Virgilis - Mentor

    Marco De Virgilis

    Actuarial Data Scientist Manager Arch Insurance Group Inc.
    Arch Insurance Group Inc. Logo
  •  Cristiano Santos De Aguiar  - Mentor

    Cristiano Santos De Aguiar

    Data Scientist, Bresotec Medical
    Company Logo
  •  Saber Fallahpour  - Mentor

    Saber Fallahpour

    Principal Data Scientist, Siemens
    Company Logo
  •  Asim Sultan  - Mentor

    Asim Sultan

    Senior Machine Learning Engineer RiskHorizon AI
    RiskHorizon AI Logo
  •  Ishwor Bhusal  - Mentor

    Ishwor Bhusal linkin icon

    Data Scientist - Supply Chain Data Innovation, Nissan Motor Corporation
    Company Logo

Skills you will learn across Professional Programs

Build a future-ready skill set tailored to your chosen domain. Specific skills and hands-on frameworks covered will vary depending on the individual program you select.

Prompt Engineering

Business Analytics

Predictive Modeling

Cloud Computing

No-Code Prototyping

AI Strategy

Tech Leadership

Decision Making

AI Governance

Change Management

Risk Management

Supply-Chain Analytics

Healthcare Analytics

Product Management

Business Transformation

Prompt Engineering

Business Analytics

Predictive Modeling

Cloud Computing

No-Code Prototyping

AI Strategy

Tech Leadership

Decision Making

AI Governance

Change Management

Risk Management

Supply-Chain Analytics

Healthcare Analytics

Product Management

Business Transformation

Essential tools for aspiring professionals

Gain hands-on expertise with industry-standard technologies, platforms, and frameworks embedded across our professional certificate curricula:

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    Python

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    R

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    SQL

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    NumPy

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    Pandas

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    Scipy

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    scikit-learn

  • tools-icon

    Tensorflow

  • tools-icon

    Keras

  • tools-icon

    PyTorch

  • tools-icon

    OpenAI API

  • tools-icon

    LangChain

  • tools-icon

    Azure OpenAI

  • tools-icon

    Hugging Face

  • tools-icon

    CrewAI

  • tools-icon

    LangGraph

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    Power BI

  • tools-icon

    Tableau

  • tools-icon

    Advanced Excel

  • tools-icon

    Matplotlib

  • tools-icon

    Seaborn

  • tools-icon

    Microsoft Azure

  • tools-icon

    Google Cloud Platform (GCP)

  • tools-icon

    Docker

  • tools-icon

    Kubernetes

  • tools-icon

    Figma

  • tools-icon

    Adobe XD

  • tools-icon

    InVision

  • tools-icon

    Miro

  • tools-icon

    Wireshark

  • And More...
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Master skills. Build a Career.

Find your program and upskill

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    Outstanding Education/EdTech Solution Provider of the Year, 2024

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