Why learn Generative AI
with EduMonk?
Design useful generative-AI applications using language models, structured prompting, retrieval, evaluation and safety patterns. Move beyond demos to tested workflows with clear limitations.
The online syllabus follows a deliberate rhythm: learn the underlying concept, apply it in guided practice, confirm it with a checkpoint, and connect it to a project decision. By the end, you will have more than lesson completion—you will have evidence you can discuss.
Start learning for ₹1,650 today.
For the Generative AI Certificate of Specialisation, pay ₹1,650 now and the remaining ₹1,500 next month. The two payments together cover the complete ₹3,150 programme fee.
Build the skills
behind your career.
Technical knowledge is only one part of becoming career-ready. Your Generative AI enrolment also includes a focused professional-development journey at no additional cost.
FREE
EduMonk Career Edge
60-Day Soft Skills & Career Readiness Program
Spend approximately 20 minutes every day developing the communication, confidence, workplace and career-readiness skills that complement your technical education.
What you'll learn in Generative AI.
Every outcome uses an observable action—something you can build, evaluate, explain or improve.
Where Generative AI is used
Use the programme workflow to frame, build and evaluate knowledge assistants.
Use the programme workflow to frame, build and evaluate content transformation.
Use the programme workflow to frame, build and evaluate document extraction.
Use the programme workflow to frame, build and evaluate research and support workflows.
Generative AI skills
you'll build.
The programme develops eight connected skills and gives each one a place in the syllabus, lab work or assessment.
Your 2-month Generative AI
learning plan.
A sustainable sequence that gives you time to understand, practise and produce useful work.
Enter AI foundations
Complete Introduction to Generative AI and Large Language Model Fundamentals.
Build with data and ML
Complete Prompt Engineering Fundamentals, Advanced Prompt Engineering and the Level 1 projects.
Apply modern AI
Work through Modules 5–8 and complete the applied AI projects.
Understand generative systems
Complete Advanced RAG Concepts and Multimodal Generative AI.
Build AI applications
Practise Building Generative AI Interfaces and Introduction to AI Agents.
Integrate, evaluate & demonstrate
Complete the remaining Level 3 modules and deliver the final specialisation capstone.
Generative AI syllabus:
20 modules, 30 hours.
This is the complete planned syllabus for the Generative AI Certificate of Specialisation. The 20 focused modules combine concept learning, hands-on practice and completion checks across the two-month journey.
Build practical capability in introduction to generative ai.
01What is Generative AI?Lesson
02Evolution of Generative AILesson
03Generative AI vs Traditional AILesson
04Predictive AI vs Generative AILesson
05Foundation ModelsLesson
06Large Language ModelsLesson
07Multimodal modelsLesson
08How Generative AI systems workLesson
Time includes lesson study, guided practice, checkpoint preparation and project integration. Learners may spend longer when extending project work.
Hands-on Generative AI
course projects.
Build 9 practical applications across the syllabus's progressive levels. The 3 capstones ask you to combine each level's skills, evaluate the result and explain the decisions behind it.
AI Content Generation Assistant
Build, test and document a practical ai content generation assistant using the skills developed in Level 1.
AI Quiz & Study Material Generator
Build, test and document a practical ai quiz & study material generator using the skills developed in Level 1.
Intelligent AI Study Assistant
Build, test and document a practical intelligent ai study assistant using the skills developed in Level 1.
AI Resume Analyzer
Build, test and document a practical ai resume analyzer using the skills developed in Level 2.
Multimodal Image Understanding Assistant
Build, test and document a practical multimodal image understanding assistant using the skills developed in Level 2.
Document-Based AI Knowledge Assistant
Build, test and document a practical document-based ai knowledge assistant using the skills developed in Level 2.
AI Customer Support Assistant
Build, test and document a practical ai customer support assistant using the skills developed in Level 3.
AI Research Assistant
Build, test and document a practical ai research assistant using the skills developed in Level 3.
Intelligent AI Career & Learning Agent
Build, test and document a practical intelligent ai career & learning agent using the skills developed in Level 3.
Generative AI tools you'll work with
How the Generative AI
course is assessed.
Your result reflects steady application across the programme—not one high-pressure exam.
Module checkpoints
20 focused checks confirm that core concepts and terminology are secure.
Hands-on labs
Every module includes a guided lab tied directly to the syllabus.
Level projects
Complete 6 focused Generative AI builds across the three levels.
Capstone projects
Plan, build, test and explain 3 progressively more complete solutions.
Certificate eligibility
Complete all required modules, submit the assignments and capstone, and achieve at least 60% overall.
Who should take this
Generative AI course?
College students
Build practical Generative AI evidence alongside your academic work.
Working professionals
Use Generative AI to strengthen your current role or move towards artificial intelligence work.
Builders & analysts
Turn concepts into a guided project, capstone and documented decisions.
Career switchers
Follow a clear starting path with no assumption of professional experience.
Generative AI course prerequisites
- Basic programming helpful
- Comfort working with web applications
- No model-training experience required
- A willingness to practise and complete the capstone
Generative AI career paths
and applications.
This programme does not promise a job. It helps you build relevant capability and evidence for conversations around roles such as:
Generative AI guides,
roadmaps and comparisons.
Use these editorial resources to understand where Generative AI fits, what a sensible learning path looks like and how to turn the subject into project evidence.
ComparisonArtificial Intelligence · Comparison · 9 min readGenerative AI vs Traditional AIUnderstand how generative AI differs from predictive and rule-based AI through outputs, data, evaluation, risks and practical business use cases.
Read the guide ↗Project guideArtificial Intelligence · Project guide · 12 min readGenerative AI project guidePlan a generative AI portfolio project with a useful task, trusted context, structured outputs, evaluation, safety controls and clear documentation.
Read the guide ↗ComparisonArtificial Intelligence · Comparison · 9 min readGenerative AI vs AI AgentsUnderstand the difference between generative AI and AI agents through capabilities, architecture, reliability, projects and practical learning choices.
Read the guide ↗Your Generative AI
Certificate & LOR.
Learners who successfully meet all programme completion requirements receive an EduMonk Certificate of Specialisation and a programme-specific Letter of Recommendation. Both documents are issued as soft copies, and hard copies are dispatched by post to the learner address on record.
Generative AI Certificate of Specialisation
Generative AI Letter of Recommendation
About these samplesFinal documents are personalised with the completed learner's name, programme record, dates and identifiers. Sample names and details are illustrative. Please keep the postal address in your learner record accurate for hard-copy dispatch.
Generative AI course FAQs.
Is this specialisation beginner friendly?+
Generative AI is marked intermediate. The syllabus begins with foundations and states any useful prior knowledge clearly. Professional experience is not required.
Is this a real 30-hour syllabus?+
Yes. The programme contains 20 focused modules with concept learning, hands-on practice and knowledge checks, planned across 30 learning hours in total.
What will I build?+
You will complete 9 projects across three levels, including 3 capstones. The sequence begins with AI Content Generation Assistant and culminates in the Intelligent AI Career & Learning Agent.
How are learners assessed?+
Completion combines module checkpoints, hands-on labs, a guided project and the final capstone. A minimum overall score of 60% is required for certificate eligibility.
What support is included?+
Your enrolment includes the complete sequenced learning experience, downloadable resources, project guidance and learner support through the connected external learner portal.
Is EduMonk Career Edge included?+
Yes. This Certificate of Specialisation includes complimentary access to EduMonk Career Edge, a 60-day Soft Skills & Career Readiness Program with one focused lesson of approximately 20 minutes each day. Career Edge adds ₹0 to your ₹3,150 programme fee.
How do payment and programme access work?+
The Enrol Now button opens this specialisation’s secure Razorpay Payment Page. EduMonk does not collect card, UPI or bank credentials. After the payment is confirmed, access to this specialisation and EduMonk Career Edge is prepared manually and sent to your registered email within 4 hours.
What certificate will I receive?+
After meeting the completion requirements, you will earn a verifiable EduMonk Certificate of Specialisation in Generative AI.
Which completion documents are issued?+
Learners who successfully meet the Generative AI completion requirements receive a soft-copy Certificate of Specialisation and programme-specific Letter of Recommendation. Hard copies of both documents are also dispatched by post to the learner address on record.
How long can I access the programme?+
The structured learning journey lasts 2 Months. Access details, completion records and earned credentials are managed through the connected external learner portal.
