logo

All Programs

About EIMT

Research

Student Zone


How to Apply

Apply Now

Request Info

Online Payment

Bank Transfer

Program

Generative AI Masters Program Online

Home  /    /   Generative AI Masters Program Online

Accreditations

Accredited by major accrediting bodies.

Alumni Network

A strong network of 1000+ alumni worldwide.

Scholarships

Upto 30% of the total tuition fees available

International Students

From 20+ Countries

Program Highlights

blue-line
  • starShort-duration program that is beginner friendly
  • star150+ hours of online learning
  • starNo prior AI or coding needed
  • starLearn Python, then move into Generative AI
  • starUnderstand how large language models work
  • starMaster and refine real-world prompt writing
  • starBuild AI agents with LangChain, CrewAI
  • starApply Generative AI to business problems
  • starWork on 5+ hands-on live projects
  • starEarn certification from accredited institution

Get FREE 1:1 Counselling

blue-line
Phone

=

Overview – Generative AI Masters Program Online

Generative AI Masters Program is an online, short-duration program developed by EIMT and helps you build real, job-ready skills in Generative AI, Prompt Engineering, and Agentic AI. You start with Python and data science basics, then move into artificial intelligence, machine learning, and deep learning concepts.From there, you learn the workings of large language models like GPT, along with writing, testing, and refining prompts that deliver accurate results.

The program then takes you into Agentic AI, where you build AI agents using tools like LangChain, LangGraph and CrewAI, and work with RAG systems and vector databases to make AI smarter with real data. You also cover how businesses use Generative AI in marketing, operations, HR and finance, along with the ethics and risk side of using AI responsibly.

Through the program, you work on live, hands-on projects, apart from theory modules, so you leave with a portfolio you can proudly display to employers.

After completing this program, you can move into roles such as Generative AI Engineer, Prompt Engineer, LLM Engineer, AI Application Developer, RAG Engineer, Agentic AI Workflow Engineer, or Data Scientist working with AI and LLMs, across industries like IT, finance, healthcare and retail.

Course Intro Video

Watch this short introduction to the Generative AI Masters Program Online program.

Generative AI Masters Program Online intro video thumbnail

Program Goals & Objectives

Generative AI Masters Program

Online Generative AI Masters Program helps aspiring learners transition into in-demand Generative AI and Agentic AI roles. Students work on Python programming, large language models, and prompt engineering, besides building real AI agents and RAG-based applications. The flexible online framework lets you study alongside a full-time job, without any career disruptions, through practical projects and case studies that keep your skills up to date with industry standards.

Generative AI Masters Program

  • Eligibility : No prior AI or coding background is required to join. Anyone with an interest in AI, including working professionals, students, and business users, can enrol.
  • Min. Duration : 150+ hours of learning, studying at your own pace
  • Enrolment : Being online, registration remains open throughout the year.

Why Choose the Generative AI Masters Program at EIMT?

Learn From Faculty With Real Industry Experience

Learn from faculty who, besides having research experience, also possess practical know-how in developing AI applications and deploying real projects in commercial settings. Their guidance is established in how AI is actually used in the industry today.

Practice-Based Assessment Throughout

Every module is assessed through hands-on coding work, real projects, and applied tasks that simulate actual AI development work. This ensures your skills are tested the same way they would be on the job.

Study Alongside Your Job

Since the program is self-paced and fully online, you can continue working full-time while you learn. There is no need to pause your career to build in-demand AI skills.

Earn a Recognised Masters Certificate

On successful completion of the program, you receive a Generative AI Masters Certificate from EIMT, an accredited institution with years of experience delivering online programs. This gives you recognised, employer-ready proof of your skills across the entire program.

Progress From Fundamentals to Applied AI Systems

The program moves you from Python and data science basics, through core AI and machine learning concepts, into prompt engineering and Agentic AI. By the end, you work with the same tools used in real AI development.On successful completion, you will be awarded the Postgraduate Certificate in Computer Science, comprising 30 ECTS credits at EQF Level 7 / FHEQ Level 7, providing recognised postgraduate academic achievement.

Built on 150+ Hours of In-depth Learning

The program is structured across 150+ hours of live and self-paced learning, combined with 5 or more hands-on projects, giving you enough depth to actually apply what you learn.
Our Experts

Faculty Members

Meet our distinguished faculty members, industry experts, and academic leaders dedicated to delivering world-class education and guiding students toward professional excellence.

Prof. Shailendra Naresh Kulkarni

Prof. Shailendra Naresh Kulkarni

Professor & Group Rector

AcademicsAdministrationTechnology and Business
Prof. S.N. Kulkarni has many firsts to his name in the field of academics. He is the Youngest VICE-CHANCELLOR of a University in India. He also happens to be the Youngest DIRECTOR of a Technical / Engineering Institute approved by the Government of India. He has varied experience in research & academia for over a decade and a half. He has set examples in teaching as well as research practices in India & abroad. He has been instrumental in conceptualizing, initializing & establishing a number of academic institutes.

He has been the Director of many institutions imparting formal training in Engineering, Energy, Medical, Dental, Pharmacy, Mass Communication, Biotechnology & Management faculties. He has been the Chairman /’ Member of various Accreditation / Affiliation expert teams on behalf of the AICTE, Ministry of Human resource Development, Govt. of India, various state Governments and various Universities for various Approvals.
Perhaps one of his biggest achievements has been attracting and sustaining a meaningful number of transnational admissions from 31 countries in his various Universities. Prof. S.N. Kulkarni was awarded ‘Pride of Asia Award”by the Asian Business and Social Forum, Singapore in 2019. The process was spearheaded by the PwC. In the same year, he was also recognised as the Best Vice Chancellor for International Students” by the prestigious Brand Essence, India. Prof. Kulkarni was awarded Commemorative Medal of honour, Hallmark 2000 by the American Biographical Institute, Inc. USA in 1999 for Exceptional Humanitarian & Professional accomplishments. He has also been appointed to the Research Board of Advisors of this prestigious organisation since 2000. He has been the acting President of Energy Forum at Indian Institute of Technology Delhi. He has worked as an Invigilator & Examiner for the Cambridge International College, UK. An active member of the IEEE inc. USA & the IET UK, he has been championing the cause of Technology & education for more than a decade. He has also served as Vice President (India) by the prestigious International Accreditation Organization, Houston, Texas, USA. Prof. Kulkarni has been a sought-after speaker in both the Corporate and Educational world. He is a known Life-Coach, Motivator & a Life Transformer. He has a galaxy of examples of 360 degree transformed corporates, individuals & lives. Prof. Kulkarni has been a sought after speaker in both the Corporate and Educational world. He is a known Life-Coach, Motivator & a Life Transformer. He has a galaxy of examples of 360 degree transformed corporates, individuals & lives.

  • Has been the Vice Chancellor of Four Universities.
  • CEO of the Multinational Seer Oceana Group in Dubai, United Arab Emirates.
  • Youngest VICE-CHANCELLOR of a University in India.
  • Youngest DIRECTOR of a Technical / Engineering Institute
  • Advisor, Minister of Higher Education, Nagaland, Inda
  • Advisor, Minister of Tourism, Govt. of Uttarakhand, India
  • Been a DRDO Researcher, pioneering CADS in India
  • Been Founder Director of many institutions imparting formal training in Engineering, Energy, Medical, Dental, Pharmacy, Mass Communication, Biotechnology & Management faculties.
  • Been the Chairman /’ Member of various Accreditation / Affiliation expert teams in India and abroad
  • Vice President (India) by the prestigious International Accreditation Organization, Houston, Texas, USA.
Expertise / Achievements / Skills:
  • More than 20 years’ experience in Academics, Administration, Technology and Business.
  • Awarded ‘Best Vice Chancellor for International Students” by Brand Essence, India, for Distinguished professional accomplishments in Education.
  • Awarded ‘Pride of Asia Award” and Cited in the 3rd Edition of Asia’s Greatest Brands and Leaders 2018 by the Asian Business and Social Forum, Singapore, for Distinguished professional accomplishments in Education.
  • Awarded ‘The Swiss International Distinguished Value Leadership award 2022” by Unicaribbean Business School, Nigeria.
  • Awarded Commemorative Medal of Honour, Hallmark 2000 by the American Biographical Institute, Inc. USA in 1999. Has been the acting President of Energy Forum at Indian Institute of Technology Delhi.
  • Has worked as an Invigilator & Examiner for the Cambridge International College, UK. An active member of the IEEE inc. USA & the IET UK.
Switzerland
Prof. (Dr.)Mensur Zeqiri

Prof. (Dr.)Mensur Zeqiri

Rector and Dean (QA & Administration)

International Business
Prof. (Dr.) Mensur Zeqiri, PhD brings a wealth of international academic and leadership experience to his role as Rector at the European Institute of Management and Technology. His educational journey—spanning Switzerland, Malaysia, and Slovenia—culminated in a doctorate in Marketing and Public Relations, reflecting his deep commitment to academic excellence and strategic leadership.
Dr. Zeqiri has previously served as Chancellor of a higher education institution in Switzerland and has successfully led two international schools, where he was instrumental in program development, accreditation, and strategic marketing. He is an active lecturer at renowned institutions including the International Business Academy of Switzerland, the Berlin School of Business and Innovation, and others.

With a strong background in marketing, public relations, and public sector consulting—particularly in Macedonia—Dr. Zeqiri combines analytical insight with practical implementation skills. His global network and dedication to fostering collaborative, high-performing learning environments position him as a key driver of innovation and quality in higher education.
Advisory Board Member
  • Academic Director and Lecturer at International Business Academy of Switzerland.
  • COO and Lecturer - Swiss Institute of Management and Innovation
  • Academic Director and Lecturer - My Global World Education Group
  • Adjunct Lecturer - Berlin School of Business and Innovation, Applied University for Media, Communication and Economics.
Switzerland
Prof. (Dr.) Ernesto O. Cordero

Prof. (Dr.) Ernesto O. Cordero

Professor

Leadership & Research
A professional leader with over ten years of experience in research, policy development, education, and corporate sustainability. Proven track record of exceptional leadership skills and outstanding results. Served in senior positions in professional and academic settings.

Developed, delivered, and evaluated organisational programs, training, and education. Recognised with prestigious awards and memberships. Proficient in strategic planning, quality management, and corporate project planning. Excellent oral and written communication skills. Strong facilitation skills. Strategic and critical thinking abilities. Successfully led initiatives and managed international conferences. Policy expert and international development specialist. Led grant solicitation projects. Active involvement in corporate and non-profit organisations. Experienced in corporate strategy, learning/education, training, sustainability, corporate management, and healthcare. Holds a Doctorate in Business Administration and a master’s in business administration. Pursuing additional credentials and a Post-Doctorate in Interdisciplinary Research Scholar
Canada
Dr. Eli Hamadimann

Dr. Eli Hamadimann

Professor

Research and Education Management
Dr. Eli Hamadimann is a distinguished figure in the realm of education, blending academic prowess with extensive industry experience to drive innovation and excellence. With a PhD from esteemed American institutions, Oakland University and the University of Alabama at Birmingham, Dr. Hamadimann has cultivated a rich background spanning two decades in teaching and education management

As an educator, Dr. Hamadimann has demonstrated an unwavering commitment to nurturing intellectual growth and fostering collaborative learning environments. His tenure as Program Director at Jumeira University and various other prestigious institutions underscores his dedication to shaping the minds of tomorrow's leaders.

Beyond academia, Dr. Hamadimann has amassed a wealth of experience as an industry expert, leveraging his expertise in areas such as project management, problem-solving, and training & development. His multifaceted background enables him to bridge the gap between theory and practice, imparting invaluable skills to his students and driving positive change in the educational landscape.

Expertise / Achievements / Skills:
  • Over 18 years of experience coaching leaders, family businesses, and organisations in leadership development and change management.
  • Extensive teaching portfolio covering diverse subjects such as E-Management, Strategic Management, Organizational Behavior, and Healthcare Finance.
  • Proven track record in program direction and academic leadership, with roles at esteemed institutions including Jumeira University and The American University in the Emirates.
  • Strong background in project management and electromechanical engineering, with past roles encompassing positions at Pegel Al Rostamani LLC, Deyaar Development, and Energy International Corporation..

Education:
  • Doctor of Philosophy (PhD) in Innovation and Change Management from The Arab Academy For Management, Banking And Financial Sciences.
  • Master of Engineering (MEng) in Project Engineering Management from the University of Alabama at Birmingham.
  • Master of Business Administration (MBA) in Operations Management from Lebanese Canadian University.
  • Bachelor's degree in Electrical Engineering from Oakland University.
United Arab Emirates
Prof. Angela Caswell

Prof. Angela Caswell

Professor

International EducationHealthcareResearch
45 years of experience in healthcare having worked across prestigious organizations in UK, USA KSA. With a specialized interest in research and quality initiatives designed to enhance care delivery, I have 30 publications that have served to contribute to the international healthcare community. Currently Associate Executive Director of Nursing at a University Quaternary Training Hospital in KSA.
Specialized Areas:
Education and Teaching:

  • MSc cohorts with 100% success rate, graduated as a qualified teacher in 2005, I have 20 years’ experience in the field of international education and research that is linked to healthcare.
  • Currently coaching PhD students.
  • Child and adult training at advanced clinical levels.
  • Research and publication
  • Nursing and Midwifery registration
  • Safeguarding and abuse
  • Infection prevention and control
  • Neurosurgery/ICU/psychiatry/psychology
  • Paediatrics
  • Women’s Health
  • Emergency
  • Trauma
  • Disaster management
Hospital Commissioning:
Authored a book on the process of commissioning though the eight stages and beyond, awaiting final acceptance.
  • Speaker at International Nursing Health Conference for Disaster Management Germany 2018
  • Speaker at International Conference for Disaster Medicine Ministry of Health War Office, Riyadh 2019
  • Member of Panel for SSBMT Conference Riyadh 2017, 2018, 2019, 2021, 2023
  • Speaker for Disaster Management Preparation 2022: University of Philippines
  • Speaker at the British Embassy Riyadh- Women in Leadership 2021
  • Speaker at the 10th International Conference on Nursing Research and Evidence-Based Practice, London: 2023
  • Keynote speaker at RCN Conference August 15 th 2023: Building a Framework of CQI in Health Care.
Academic Qualifications:
  • Professorship (Healthcare). PhD Science (Nursing). MSc Advanced Nursing Practice, MA Education.
  • PGCD (teacher training), BSc Hons. , RGN, Pediatric Special Needs Training.
United Kingdom / KSA
Prof. (Dr.) Shardhanand Harinandan Singh

Prof. (Dr.) Shardhanand Harinandan Singh

Professor

Intercultural EducationEthical Historiographyand Archival Digitalization and Justice
Prof. (Dr.) Shardhanand Harinandan Singh is a distinguished scholar, educational policy adviser and an inter-disciplinary researcher who has over five decades of professional experience in inter-cultural education, psychosocial integration and community-based governance. Born in 1944 in Suriname and resident in the Netherlands, he has been instrumental in shaping multicultural policy, effecting transformative education policy and reform in Europe. He is also an Ayurvedic practitioner.

Dr. Singh is the founder of the academic paradigm of Girmitiyalogy (2025), which has given rise to an emerging inter-disciplinary field of study focused on the archival digitalization and genealogical restoration and ethical reinterpretation of Indian indentured labor migration in the context of Vedic Itihāsa (इतिहास). His work is rooted in the principles of human dignity and diversity and restorative justice and international cooperation and is guided by the ethos of Vasudhaiva Kutumbakam and Aatmanirbhar.

Education and Academic Formation:
  • Studies in Social Pedagogy and Andragogical Sciences, Leiden University (1984).
  • Specialization in Social and Preventive Psychiatry, Erasmus University Rotterdam (1982).
  • Ayurvedic Practitioner Training, New Delhi (1994).
  • Doctor of Philosophy (Honoris Causa, 2023).
  • Professorship in Transnational Migration Studies, EIMT Zürich (2025–2030).
Dr. Singh’s academic background includes social pedagogy and andragogical sciences, social and preventive psychiatry, and training in Ayurvedic practitioners, which have helped him in his field of intercultural education and ethical historiography.

Work Experience Highlights:
Professional Educator, Author, and International Consultant – Girmitiyalogy (2009 – Present)

Offer strategic academic leadership in the interdisciplinary space within Girmitiyalogy. Coordinate research partnerships internationally, design models for institutions and governance for global research collaborations, and advance decolonial archival studies and restorative justice research.


Educational Advisor and School Team Supervisor – CED-Groep, Rotterdam (1976-2015)

Advised on the development of multicultural education reform in Rotterdam. Developed and implemented frameworks for psychosocial interventions to facilitate inclusive schooling. Trained school staff and assisted in the development of municipal education policy in a changing urban landscape.


Freelance Lecturer and Curriculum Developer – HBO Rotterdam EO (2001-2005)

Developed and conducted leadership programmes and curriculum design in multicultural education. Also, mentored postgraduate scholars and facilitated academic capacity building programmes.


Head Coach and Lead Curriculum Developer – International Masterclass ‘Digitizing Girmitiya Archives Globally’ (Lucknow, 2025)

Trained over 100 PhD scholars and academic professionals from over 40 countries to strengthen international cooperation in digital humanities, archival preservation, and genealogical reconstruction.


Areas of Expertise:
  • Intercultural Education and Multicultural Policy Development
  • Transformational Psychosocial Intervention Frameworks
  • Decolonial Archival Research and Digital Humanities
  • Curriculum Design (BA/MA/PhD Programmes)
  • International Academic Governance and Institutional Development
  • Restorative Justice and Ethical Historiography
  • Governance Evaluation through the Purushartha Framework
Publications and Scholarly Contributions:

Dr. Singh has authored and edited numerous publications on multiculturalism, migration history, Ayurveda, and integrative knowledge systems, among other subjects. Some of his publications include:

  • Homogenization in Multiculturality (Mumbai, 2024).
  • Verlaten Verleden – De Hindostaanse exodus uit Suriname (Rotterdam, 2021).
  • Verliesgevoelens door multiculturalisme (2025).
  • Inclusive Vedanta in Western Science (forthcoming, 2026).
  • RSI genezen met Ayurveda-therapie (2000).
  • Ayurveda – Gids voor een gezond voedingspatroon in het gezin (1998).

Dr. Singh’s main research themes include:

  • Indentured labor as a crime against humanity,
  • Transnational migration of Indian indentured laborers,
  • Ethical historiography under the Itihāsa paradigm
  • Archival Justice and Genealogical Restoration
  • Governance Evaluation through the Purushartha Framework
Rotterdam, The Netherlands
Dr. Tanios El-Khoury

Dr. Tanios El-Khoury

Professor

Master PlanningUrban DevelopmentInfrastructure & Landscape Design

Dr. Tanios El-Khoury is an accomplished urban development strategist with over 35 years of experience in master planning, infrastructure development, and landscape design across the Middle East, South Asia, Europe, and North America. A C-level executive, he has led billion-dollar megaprojects and complex multidisciplinary programs, combining strategic vision with technical expertise.

He is passionate about sustainable city planning and mentoring future leaders in urban development through real-world case studies and industry challenges.


Work Experience Highlights:

  • Regional Director – Urban Development, Egis Group – Leading large-scale urban planning programs across the Middle East.
  • Director, GCLA – GRM International (KSA Branch) – Managed operations, business development, and project execution.
  • Program Director, NEOM Executive PMO – Oversaw integrated planning for a major smart city megaproject.
  • Program Manager & Senior Master Planner, Jacobs Engineering – Led major urban redevelopment and infrastructure projects.
  • General Manager, GCLA – GRM International (Dubai) – Directed international urban and landscape projects.
  • Senior Consultant, FORMS International (Qatar) – Contributed to large-scale infrastructure planning and coordination.
  • General Manager, WaterTech United (Qatar) – Oversaw operations and project execution.
  • Urban Planning & Landscaping Dept. Manager, Unifert International – Led regional planning functions.
  • Head Landscaping Engineer, Exotica s.a.l. – Managed design and implementation.
  • Landscaping Engineer, CH2M (Seattle) – Worked on infrastructure and landscape design projects.

Core Expertise:

  • Urban and regional master planning
  • Infrastructure and land-use planning
  • Project and program management (PMO leadership)
  • Landscape architecture and environmental planning
  • Smart city frameworks and governance models
  • Stakeholder coordination

Education:

  • Doctorate in Business Administration (PhD, DBA) – European Institute of Management & Technology (EIMT)
  • Bachelor of Science in Horticulture/Agriculture (Minor: Landscape Architecture) – Washington State University, USA

Certifications & Training:

  • Strategic Planning & Project Management – IBM Institute, Berlin
  • Smart Cities & Infrastructure Systems – EPFL, Lausanne
  • Additional training in PMP, Health & Safety, and Professional Ethics (CH2M, Jacobs Engineering, Egis Group)

Technical Proficiencies:

  • AutoCAD, Photoshop CS6, SketchUp
  • Microsoft Office (Word, Excel, PowerPoint)
  • Aconex, Asite, GIS
  • Internet Applications
Saudi Arabia
Prof. Dr. Jennifer Safran

Prof. Dr. Jennifer Safran

Professor

Vocational & Adult EducationBusiness EducationDigital Learning Innovation & Competency-Based Learning

Prof. Dr. Jennifer Safran is an accomplished scholar, lecturer, author, and educational innovator with over 15 years of experience in vocational and higher education. She is recognised for her expertise in competency-based learning, assessment design, business education, and the integration of digital technologies into modern learning environments.

Her work bridges academic excellence with practical application, focusing on evidence-based didactics, digital transformation in education, and the development of innovative AI-supported learning solutions. Through her teaching, research, publications, and educational technology initiatives, she continues to contribute to the advancement of vocational and adult education in the digital age.


Work Experience Highlights:

  • Freelance Lecturer, Author & Education Specialist (2011–Present) – Delivering teaching and professional training in business administration, leadership, controlling, human resource management, and vocational education.
  • Educational Content Developer – Designing study materials, case studies, examination tasks, and competency-based learning frameworks for vocational and higher education.
  • Digital Learning Innovator – Developing AI-supported learning applications and digital learning environments to promote sustainable competence development.
  • Vocational Education Consultant – Preparing professionals for advanced vocational qualifications, IHK examinations, and AEVO trainer certification programmes.
  • Examiner, IHK Examination Boards – Serving for more than 15 years in examination and assessment roles, supporting quality assurance in vocational qualifications.

Core Expertise:

  • Vocational and Adult Education
  • Competency-Based Learning and Assessment Design
  • Business Education and Management Studies
  • Human Resource Management and Leadership Development
  • Digital Learning and Educational Technologies
  • AI-Supported Learning Processes
  • Examination Design and Qualification Systems
  • Educational Content Development and Curriculum Design
  • Evidence-Based Didactics and Learning Innovation

Education:

  • Doctorate in Vocational Education and Training (PhD equivalent), Cum Laude - Karlsruhe Institute of Technology (KIT), Germany
  • Master of Arts (MA), Adult Education - University of Kaiserslautern, Germany
  • Master of Business Administration (MBA) - IU International University, Germany
  • Bachelor of Arts (BA), Business Administration - South Westphalia University of Applied Sciences, Germany

Publications & Educational Media:

  • Author – Die schriftliche IHK-Prüfung
  • Author – Die praktische AEVO-Prüfung
  • Developer of academic course content, vocational training resources, study guides, examination materials, and digital learning applications.

Certifications & Professional Engagement:

  • Certified Real Estate Specialist (IHK)
  • Certified Trainer (IHK)
  • Certified Live Online Trainer
  • Over 15 Years of Service as an IHK Examination Board Examiner
  • Extensive Experience with Virtual Learning Environments and Digital Education Platforms

Technical Proficiencies:

  • Learning Management Systems (LMS)
  • Digital Learning Platforms & Virtual Classrooms
  • AI-Supported Learning Applications
  • Microsoft Office Suite (Word, Excel, PowerPoint)
  • Educational Content Development Tools
  • Online Assessment & Examination Systems

Academic Profile:

Prof. Dr. Jennifer Safran's work is distinguished by the integration of academic rigour, practical relevance, and educational innovation. By combining established pedagogical frameworks with emerging digital technologies and AI-enabled learning solutions, she is helping shape the future of vocational and adult education while promoting effective, sustainable, and learner-centred educational experiences.

Mömbris, Germany
accreditationImg
USDLA
accreditationImg
EURASHE
accreditationImg
ACBSP
accreditationImg
QAHE
accreditationImg
AQS
accreditationImg
ATHEA
accreditationImg
EAE

Program Outcomes:

  • Write Enterprise-Ready Python Code: Apply Python programming skills to clean, structure and analyse real datasets using libraries like NumPy and Pandas. Graduates will be comfortable writing scripts that support AI and data science workflows.
  • Build and Evaluate Machine Learning Models: Apply machine learning and deep learning concepts to build, train and test models using real-world data. Graduates will understand how to measure model performance across data science and AI roles.
  • Design High-Quality Prompts for LLMs: Write, test and refine prompts using proven techniques to get accurate results from large language models like GPT. Graduates will be able to spot and correct common AI mistakes.
  • Develop AI Applications Using LLM APIs: Connect to LLM APIs and build working applications using frameworks like LangChain and LlamaIndex. Graduates will understand how to manage tokens, costs and model settings.
  • Build RAG Systems with Vector Databases: Design Retrieval-Augmented Generation systems using vector databases such as ChromaDB and Pinecone. Graduates will be able to build AI tools that answer questions using a company's own data.
  • Create Autonomous AI Agents: Build AI agents with planning, reasoning and acting abilities using LangGraph, CrewAI and Autogen. Graduates will be ready for one of the fastest-growing fields in AI hiring.
  • Apply Generative AI to Real Business Problems: Identify practical applications of Generative AI in marketing, operations, HR and finance through real case studies. Graduates will be able to spot where AI saves time or cuts costs in any business role.
  • Launch a Career in Generative AI and AI Engineering: Finish the program with a job-ready portfolio of hands-on projects. Graduates will be ready for roles like Generative AI Engineer, Prompt Engineer, LLM Engineer, or Agentic AI Workflow Engineer across IT, finance, healthcare and retail.

image1

Important Information Regarding Generative AI Masters Program

Program Delivery

This entire program is delivered online, to help you learn from anywhere. There are projects and case studies integrated into every course which will help you to apply concepts to real practice. You will begin the program with Python, AI, and machine learning.

From there, you will dive into in-demand skills like prompt engineering and Agentic AI. The best part is that you can immediately apply what you learn in class to your current job to make a valuable impact.

practitioner

Industry Leaders and Faculty Members

All the faculty members at EIMT come with deep experience and extensive practical knowledge. They have spent years either researching or building AI tools and launching large language model systems for real businesses.

Because they work in the industry, the mentorship and guidance you get will match exactly what employers look for today.

professor

Admission Requirements:

There are no formal prerequisites to join this program. Applicants from any academic background, profession, or experience level are welcome to apply, and no prior programming or AI experience is required. All you need is an interest in learning Generative AI and the willingness to complete the coursework

Language Proficiency:
All the modules are delivered in English, so non-native speakers need to demonstrate their language proficiency before starting classes. EIMT accepts an official IELTS score or an equivalent recognised certificate.

Language Waiver:
The English test requirement is waived if you meet any of the following:
  • You're a native English speaker
  • You completed secondary or higher education entirely in English
  • You have at least two years' professional experience working in an English-speaking environment
Digital Competence:
You'll need to be comfortable using computers, browsing the internet, and working independently with everyday software tools before the course begins, as this will help you stay on track with the online learning environment from day one.

Application Process

Applications are accepted online. After receiving your application, the admissions team reviews your academic qualifications and supporting documents to determine your eligibility for the program. Eligible applicants receive further instructions regarding admission and Enrolment.

After Admission

Once your admission is confirmed, you will receive your enrolment details and access to the online learning platform. From there, you can attend live weekend classes, access learning resources, complete assessments, and interact with faculty and fellow participants throughout the duration of this program

Program Completion Requirements

Successfully complete all required modules and assessments.

Complete the hands-on projects.

Meet the academic requirements for the award of the certification.

The Curriculum

The Generative AI Masters Program comprises 5 core courses, covering 150+ hours of learning. The curriculum builds core AI development capabilities, from Python and data science foundations up to AI, prompt engineering, agentic AI systems, and business applications of Generative AI.

Data Science with Python Certification Course

12 Modules | 36 Hours | 8 Skills

Data Science with Python course is designed to help you master essential Python programming concepts for Data Science. You'll gain expertise in data operations, file handling, object-oriented programming, and key libraries like Pandas, NumPy and Matplotlib. In this course, you will get an introduction to Machine Learning and Data Science techniques to build a foundation for the rest of the program.

Topics

  • Python scripting
  • Variables & types
  • Conditions & loops
  • Function basics
  • Lambda usage
  • Lists & tuples
  • Dictionaries
  • File reading
  • Error handling
  • Jupyter setup

Hands-on / Demo

  • Writing a “Hello World” script
  • Manipulating lists and dictionaries
  • Reading a CSV file

Skills

Python programmingData science environment setup

Topics

  • Set operations
  • List comprehensions
  • Generator functions
  • Using modules
  • Regex patterns
  • Special collections
  • Map & filter
  • Custom exceptions

Hands-on / Demo

  • Using regex for data cleaning
  • Creating a generator
  • Building a custom module

Skills

Intermediate Python techniquesEfficient code structures

Topics

  • OOP concepts
  • Class inheritance
  • Context managers
  • Unit testing
  • API requests
  • Code profiling
  • Logging basics
  • JSON handling
  • Project packaging
  • Type hints

Hands-on / Demo

  • Building a preprocessing class
  • Fetching API data
  • Writing a unit test

Skills

Advanced Python programmingModular code development

Topics

  • NumPy arrays
  • Vector operations
  • Math functions
  • Series handling
  • DataFrames
  • Dataset merging
  • Missing values
  • Pivot tables
  • Data summaries
  • Memory tuning

Hands-on / Demo

  • NumPy array calculations
  • Cleaning data with Pandas
  • Creating a pivot table

Skills

Data manipulationBasic statistical analysis

Topics

  • Matplotlib Plotting
  • Seaborn Visualization Styles
  • Line and Bar Charts
  • Histogram Analysis
  • Web Scraping Basics
  • Missing Data Treatment
  • Feature Scaling Techniques
  • Encoding Categorical Data
  • Data Storytelling Approaches

Hands-on / Demo

  • Creating Seaborn plots
  • Scraping website data
  • Normalizing a dataset

Skills

Data visualizationData preprocessing

Topics

  • Descriptive stats
  • Variance, standard deviation
  • Probability
  • Normal distribution
  • Hypothesis testing: t-tests
  • Correlation: Pearson coefficient
  • Outlier detection: z-score
  • Sampling: random sampling
  • Statistical visualization
  • P-values: significance

Hands-on / Demo

  • Conducting a t-test
  • Visualizing correlations
  • Detecting outliers

Skills

Statistical analysisResult interpretation

Topics

  • CRISP-DM process
  • ML categories
  • Python for ML
  • ML tools
  • Data lifecycle
  • Evaluation
  • Feature basics
  • AI ethics
  • Industry insights

Hands-on / Demo

  • Setting up an ML project
  • Exploring a dataset

Skills

ML workflowsIndustry trends

Topics

  • Linear regression
  • Gradient descent
  • Polynomial regression
  • Ridge regression
  • Error metrics
  • R-squared
  • Cross-validation
  • Residual analysis
  • Feature selection
  • Overfitting mitigation

Hands-on / Demo

  • Building a linear regression model
  • Evaluating with RMSE

Skills

Regression modellingModel evaluation

Topics

  • Logistic regression
  • Binary labels
  • Decision trees
  • Confusion matrix
  • Precision & recall
  • ROC curve
  • Overfitting
  • Feature ranking
  • Model validation
  • Class imbalance

Hands-on / Demo

  • Logistic regression model
  • Decision tree visualization

Skills

Binary classificationEvaluation metrics

Topics

  • Random forests
  • SVM
  • XGBoost
  • Grid search
  • Random search
  • SHAP values
  • SMOTE
  • Model stacking
  • Association rules
  • Recommendation engines
  • Model evaluation

Hands-on / Demo

  • Random Forest model
  • Using SHAP for insights
  • Building Apriori rules

Skills

Advanced classificationInterpretability, recommendations

Topics

  • K-Means clusters
  • Elbow method
  • Hierarchical clustering
  • DBSCAN logic
  • PCA reduction
  • Anomaly detection
  • Silhouette score
  • Segmentation use
  • Cluster visuals

Hands-on / Demo

  • K-Means clustering
  • Applying PCA
  • Detecting anomalies

Skills

Unsupervised learningDimensionality reduction

Topics

  • AutoML tools
  • DataRobot
  • KNIME workflows
  • H2O.ai models
  • Synthetic data
  • Rapid prototyping
  • AI fairness

Hands-on / Demo

  • DataRobot model building
  • KNIME workflow creation
  • Generating synthetic data

Skills

AutoML prototypingNo Code workflows

Topics

  • Agent-Environment Interaction
  • OpenAI Gym Setup
  • Markov Decision Process
  • Q-Learning Fundamentals
  • Exploration-Exploitation Tradeoff
  • Epsilon-Greedy Strategy
  • Reward Shaping Concepts
  • Reinforcement Learning Applications
  • Q-Table Implementation
  • Reinforcement Learning Limitations

Hands-on / Demo

  • Q-Learning in a game
  • OpenAI Gym experiment

Skills

RL algorithmsPractical applications

Topics

  • Time Series Components
  • Stationarity Testing (ADF)
  • ARIMA Model Parameters
  • Forecasting with Prophet
  • Forecast Error Metrics
  • Backtesting Techniques
  • Trend Visualization Methods
  • Confidence Interval Analysis
  • External Variable Integration
  • Model Selection Strategies

Hands-on / Demo

  • ARIMA model
  • Prophet forecasting
  • Visualizing trends

Skills

Time series analysisForecasting

Topics

  • Cloud ML Introduction
  • AWS SageMaker
  • Google Cloud AI
  • Azure ML
  • Cloud storage
  • Serverless ML
  • Model deployment
  • Scalability

Hands-on / Demo

  • Training a model in SageMaker
  • Deploying with Google Cloud AI
  • Using S3 for data storage

Skills

Cloud-based MLScalable model deployment

Topics

  • MLOps Introduction
  • CI/CD for ML
  • Flask API Deployment
  • MLflow Model Tracking
  • Docker Containerization
  • Model Drift Monitoring
  • Model Lifecycle Management

Hands-on / Demo

  • Deploying with Flask
  • MLflow pipeline setup

Skills

MLOps practices
FAQ's

Frequently Asked Questions

Register Now! Online Classes for the New Academic Session Begin on 1 November 2026

REGISTER NOW