Our Generative AI Program Duration and Fees

Generative AI programs typically range from a few weeks to several months, with fees varying based on program and institution.

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Generative AI Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.

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  • Amit Prakash

    Amit Prakash

    Associate Professor & Coordinator (Students Affairs)

    Amit Prakash currently serves as an Associate Professor at IIIT Bangalore. He has been involved in setting up the Institute's Centre for IT and Public Policy (CITAPP), Centre for Accessibility in the Global South (CAGS) and E-Health Research Centre (EHRC). 

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  • Bryan Campbell

    Bryan Campbell

    President at 7 C's Consulting and Agile Project and Program Manager

    Bryan Campbell is a highly respected Agile Coach and Project Manager with more than 25 years of experience managing projects, programs and PMOs around the world.  He specializes in agile transformation for enterprise, scale PMOs.

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  • CJ Meadows

    CJ Meadows

    Professor, Director, i2e – Innovation & Entrepreneurship Center Head

    She has designed and launched new innovation programs, including Design Thinking with ExperiencePoint + IDEO, Disruptive Innovation with Harvard Business Online, and startup360 with IBM Garage.

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  • Dave Todaro

    Dave Todaro

    Professor, Caltech CTME

    Dave Todaro is a software visionary, entrepreneur, and agile project management expert. Dave has taught agile software development techniques to thousands of people worldwide and regularly advises companies on a wide range of product strategy and software engineering topics.

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  • Dr. Sandeep Shukla

    Dr. Sandeep Shukla

    Professor, Computer Science and Engineering at IIT Kanpur

    Sandeep Shukla is the Coordinator, Interdisciplinary Center for Cyber Security and Cyber Defense of Critical Infrastructure, IIT Kanpur. He has a Ph.D. & MS in Computer Science from the State University of New York.

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  • Dr. V. Sridhar

    Dr. V. Sridhar

    Faculty In-Charge, Continuing Professional Education, IIIT Bangalore

    Dr. V. Sridhar has taught at many institutions across the world. He has received funding from different national and international sources for his research projects, recent ones being from Facebook. He has also been a member of Government of India committees on Telecom and IT.

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  • Dr. Zhiwei Zhu

    Dr. Zhiwei Zhu

    Clinical Assistant Professor at Krannert School of Management, Purdue University

    With over 15 years of experience leading business analytics functions at global reinsurance companies, Dr. Zhu now uses his wealth of knowledge and business-relevant experience to provide analytics training to future business leaders at Purdue University’s Krannert School of Management.

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  • Jeff Allen

    Jeff Allen

    Project Management and Agile Expert, Consultant, Author

    Jeff Allen is a highly regarded project management and Agile expert with more than 15 years of experience at large companies like Compaq and HP. As an Agile Coach, he has mentored over 5000 professionals globally.

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  • Jinsuh Lee

    Jinsuh Lee

    Clinical Assistant Professor of Management, Purdue University

    Jinsuh Lee teaches various marketing classes at Purdue. A Ph.D. in quantitative marketing, Lee puts the premium on the power of big data in marketing. He has developed data-driven marketing solutions such as loyalty and demand forecasting programs for top corporates like Samsung Electronics

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  • Nada Sayarh

    Nada Sayarh

    Asst Professor in Marketing and Asst Dean SP Jain Global Dubai

    Passionate about bridging academia and the business world. Extensive experience in training, working with top managers and practice community development. Held several brand management positions in top blue chip companies

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  • Nicolas Hamelin

    Nicolas Hamelin

    Adjunct Faculty at SPJ Australia

    A keen innovator and researcher with 10+ years of hands-on business development, management, and marketing experience. Highly-skilled researcher with experience securing grants and leading global research teams

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  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.

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  • Preeti Mudliar

    Preeti Mudliar

    Assistant Professor

    Preeti Mudliar's research centres around technology design, access, use and non-use focusing using ethnography and qualitative methods. She teaches introductory and advance courses in Human Computer Interaction (HCI) and qualitative research methods at IIIT Bangalore

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  • Prof. Aditya Billore

    Prof. Aditya Billore

    Associate Professor, IIM Indore

    Prof. Aditya Billore is an Associate Professor, Department of Marketing, at the Indian Institute of Management, Indore. He has also  done his Fellow Program in Management (FPM) from IIM Indore.

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  • Prof. Amit Upadhyay

    Prof. Amit Upadhyay

    Assistant Professor, Department of Management Studies, IIT Roorkee

    Dr. Amit Upadhyay is an Assistant Professor in DoMS IIT Roorkee, working in the areas of operations research, supply chain, and transportation. Earlier, he has worked as an assistant professor in VGSOM, IIT Kharagpur, and visiting faculty at IIM Calcutta.

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  • Prof. Amitabh Kodwani

    Prof. Amitabh Kodwani

    Professor, IIM Indore

    Dr. Amitabh Kodwani is a Professor in, the Department of Organizational Behaviour and Human Resource Management at the Indian Institute of Management, Indore. He has done his Post Doctorate from the University of Warsaw, Poland.

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  • Prof. Hasmukh Gajjar

    Prof. Hasmukh Gajjar

    Associate Professor, IIM Indore

    Dr Hasmukh Gajjar is an Associate Professor, Department of Operations Management and Quantitative Techniques, at the Indian Institute of Management, Indore. He has done his Ph.D. from IIT Bombay. His interest includes Retail Ops, Operations Management and Strategy, SCM, Optimization Models.

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  • Prof. Manoj Motiani

    Prof. Manoj Motiani

    Associate Professor, IIM Indore

    Dr. Manoj Motiani is an Associate Professor, Department of Marketing, at the Indian Institute of Management, Indore. He has done the Fellow Program in Management (FPM) from IIM Ahmedabad.

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  • Prof. Ramesh Anbanandam

    Prof. Ramesh Anbanandam

    Associate Professor, Department of Management Studies, IIT Roorkee

    Professor Ramesh Anbanandam is working as an Associate Professor in the Department of Management Studies, IIT Roorkee, India, and joint faculty of the Center of Transportation Systems, IIT Roorkee. He did Ph.D. from IIT Delhi and M.Tech from NIT Tiruchirappalli.

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  • Prof. Saumya Ranjan Dash

    Prof. Saumya Ranjan Dash


    Dr. Saumya Ranjan Dash is a Professor, Department of Finance and Accounting, at the Indian Institute of Management, Indore. He has a Ph.D. from the Indian Institute of Technology, Kharagpur.

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  • Prof. Shubhabrata Basu

    Prof. Shubhabrata Basu

    Professor, IIM Indore

    Dr. Shubhabrata Basu is an Professor at the Indian Institute of Management, Indore. He has done his fellowship from IM Ahmedabad. His interests include topics like Emerging Markets,  Banking, the Sector and Inclusive Growth, Bottom of the Pyramid Strategies.

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  • Prof. Siddhartha K Rastogi

    Prof. Siddhartha K Rastogi

    Associate Professor, IIM Indore

    Dr Siddhartha K Rastogi is an Associate Professor, Department of Economics, at the Indian Institute of Management, Indore. He has done a fellowship from IIM Ahemdabad. He also published 14 research papers on topics like welfare assessment, pricing, and more.

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  • Prof. Tarun Sharma

    Prof. Tarun Sharma

    Assistant Professor (Operations),Department of Management Studies, IIT Roorkee

    Dr. Tarun Sharma received his B.Tech. in Mechanical Engineering from NIT, Hamirpur, and masters and Ph.D. degree from Indian Institute of Science, Bangalore. He is a recipient of the Impact Postdoctoral Fellowship from The Chinese University of Hong Kong.

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  • Professor Amey Karkare

    Professor Amey Karkare

    Department of Computer Science and Engineering, IIT Kanpur

    Professor Amey Karkare is the Poonam and Prabhu Goel Chair Professor, Department of Computer Science and Engineering at IIT Kanpur. His areas of focus are applications of Program Analysis, Compiler Optimizations, Software Engineering, and Machine Learning to build software systems.

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  • Professor Chandrashekar Ramanathan

    Professor Chandrashekar Ramanathan

    Professor & Dean (Academics), IIIT Bangalore

    Professor Chandrashekar Ramanathan has an extensive application software development experience spanning over 10 years in large multinational organizations. His current focus is in the area of information convergence, software engineering, application architectures, enterprise architecture.

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  • Professor Srinivas Vivek

    Professor Srinivas Vivek

    Assistant Professor

    Professor Srinivas Vivek currently holds the Infosys Foundation Career Development Chair Professorship and is also a DST INSPIRE Faculty Fellow. His main research interest is in the interplay between the theory and the implementation aspects of cryptographic systems.

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  • Ramu Shankar Rao

    Ramu Shankar Rao

    Professor & Corporate Trainer

    Mr. Ramu has over 28 years of experience with significant senior corporate management roles in Healthcare industry with giants like Medtronic and St Jude Medical.

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  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

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  • Shirish Rangnekar

    Shirish Rangnekar

    CEO at Planck Era

    Sirish has deep expertise in business transformation roadmaps, strategic technology initiatives, program execution for large scale enterprise transformation.He is a Lean Six Sigma Black Belt and an Enterprise Agile consultant.

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  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

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Generative AI Learner's Reviews

  • Francis Nwoguh

    Francis Nwoguh

    Facilities Engineer

    The program was amazing, and I was able to grab a job change with a 40% salary hike. The live classes were well-planned, and the concepts were clearly explained.

  • Mike Casey

    Mike Casey

    Product Manager

    Simplilearn has been great. The live courses were well organized and easy to connect to. Their customer support has been excellent. They've helped out all along.

  • Rishabh Tiwari

    Rishabh Tiwari

    Data Engineer

    I am thrilled to share that I have completed my Post Graduate Program in Data Engineering with Simplilearn in collaboration with Purdue University. Special thanks to my instructors, Indra Bhushan, Amit Singh and Deepak Sharma for being awesome mentors throughout this course.

  • Filipe Theodoro

    Filipe Theodoro

    Machine Learning Engineer

    This course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to run and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips.

  • C Muthu Raman

    C Muthu Raman

    Simplilearn facilitates a brilliant platform to acquire new & relevant skills at ease. Well-structured program content and expert faculty ensure an excellent learning experience.

  • Shilpi Singh

    Shilpi Singh

    Director at Proteck Electronic Trading LLC

    Simplilearn has been an integral part of my learning for the past 1 year. I owe it greatly to Simplilearn to impart in me the knowledge and skills in Sales and Marketing. I have recommended this program to my friends and am considering enrolling my kids in the coding program during the summer.

  • Shijith Gopinath

    Shijith Gopinath

    Solutions Consultant at E2open

    Simplilearn was well equipped in guiding me with the right information required regarding the courses best suited for upscaling my career. I highly recommend Simplilearn to my friends.

  • Prasenjeet Sahoo

    Prasenjeet Sahoo

    Software Engineer at 1mg

    I always had a passion for data science and wanted to build my career in this domain. Simplilearn’s Data Scientist training helped me to acquire the skills I needed and their JobAssist program helped me to enhance my career from Programmer Analyst to Software Engineer with a salary hike.

  • Minal Deshmukh

    Minal Deshmukh

    Software Specialist

    The training was conducted very well. The course content is very informative and the trainer gives sufficient time to explore the lab, which is really helpful. The trainer explained the concepts with clarity & provided in-depth details.

  • Ashish Ghai

    Ashish Ghai

    This course was a marathon of learning, a blend of a few of the most renowned cybersecurity certifications globally. It wasn't a comfortable journey; it was excruciating. But perseverance and tenacity eventually made the result sweeter. And it wouldn't have been possible without the support of Simplilearn's fantastic trainers and staff.

  • Swapana Kulkarni

    Swapana Kulkarni

    Project Manager

    Very informative and educative with simple language and easy examples. Covers all the aspects, videos are of good help, and so is the content. Trainer helped us through complicated concepts in easy language.



  • 1. What Is Generative AI?

    A subset of artificial intelligence (AI), generative AI processes existing data to create newer, unique outputs in video, audio, text, 3D models, images, or as required.

    With advancing generative models, generative AI tools can produce complex content, solve problems, create art, and even assist in research. The most recent breakthroughs which have brought generative AI to the forefront are GPT and Midjourney.

  • 2. What Is The Difference Between Generative AI and AI?

    AI or artificial intelligence is a machine's capability to perform cognitive functions like the human brain, such as learning, reasoning, interacting, and problem-solving. Traditional AI, or conventional AI or artificial general intelligence, performs tasks according to preset rules.

    The most common uses of AI technology include search engines, stock trading, medical diagnosis, etc.

    Generative AI, on the other hand, uses existing data for fresh content creation. This could mean image generation, text description, or video creation, similar to the training data.

  • 3. How Does Generative AI Work?

    Generative AI uses neural networks to identify patterns or structures in the input data supplied by human intelligence. The learning could be supervised, semi-supervised, or unsupervised to train AI models. 

    Unsupervised learning enables generative models to process unlabeled data, saving time and creating foundation models. These foundation models are then used as a base for generative models.

    Once the generative AI systems process the training data, the generative models produce fresh content. This could be in the form of generating images, videos, text, etc.

  • 4. What Are The Benefits Of Generative AI?

    Generative AI is beneficial as it helps:

    • Create new, original content similar to human-generated content. This finds application in different entertainment industries. 
    • Improve existing AI models.
    • Analyze complex data and make predictions to help improve business processes and business functions.
    • Automate tasks, therefore saving resources and time.

  • 5. What Are The Different Types of Generative AI Models?

    Generative AI is most commonly distinguished into three types:

    • Transformer Generative AI models

    These neural networks, generally used for NLP tasks, process sequential data and identify relationships. These are the basis for most foundation models.

    • Generative Adversarial Networks

    This generative AI uses two neural networks to produce realistic content, finding application in art and content creation.

    • Variational Autoencoders

    This generative AI finds patterns in a dataset by compressing it into a lower-dimensional space. Further, the AI system learns to generate data by sampling the compressed space. 

  • 6. What Is The Role Of Training Data In AI Models?

    Training data refers to the data that is given as input to generative AI models. This data is analyzed, processed, and used to create neural networks, based on which the generative AI further performs its tasks.

  • 7. Why Should One Learn Generative AI?

    Generative AI is constantly growing, with predictions showing its rise from 1% to 10% in the next ten years. According to Bloomberg Intelligence, the generative AI market can reach $41.3 trillion by 2032 at a CAGR of 42%. Since AI learning is finding its application in multiple industries, with more and more big players adopting it for the growth of their companies, the demand for generative AI models is bound to increase. Moreover, to make tasks quicker and easier, generative AI is handy. However, generative AI is only as good as the tasks and prompts it is commanded with. Therefore, learning generative AI to use it properly and even create new generative AI tools is vital.

  • 9. Will Generative AI Take Up People's Jobs?

    Generative AI is highly useful in automating tasks and processing complex data that human minds cannot comprehend. However, generative AI tools and models can only be created with human help.

    Moreover, most generative AI models require human assistance in the form of assigning tasks and prompts. Therefore, as generative AI expands, so will the need for employees well-versed in generative AI tools.

    Generative AI, therefore, is a chance to create a symbiotic relationship with artificial intelligence, helping improve an employee's work range and efficiency.

  • 10. What Are The Real World Applications Of Generative AI?

    Generative AI is slowly being applied in multiple fields, including medicine, engineering, and business. With speech generation, predictability models, and other forms of generative AI, its uses are widespread, including:

    1. Storyline Generation: New characters, storylines, plot twists, content ideas, etc., can be formed using Generative AI.

    2. Video Games: It is now possible to create landscapes, characters, and even narratives for video games with the help of Generative AI.

    3. Music: Generative AI can be used to compose fresh music that is in line with the artist’s style.

    4. Image Synthesis: Generative AI helps create realistic images for art, graphics, design departments, etc.

    5. Text Generation: Generative AI can produce text for chatbots, language translation, virtual assistants, and content generation for media.

    6. Data Augmentation: By creating synthetic data, generative AI helps in the development of other machine learning models.

    7. Medicine: Generative AI is used in medical imaging and in drug discovery by generating new molecular structures.

    8. Product Designs: Finding applications in architecture and engineering, generative AI can help explore and test different design variations.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.