PYPopular
Backend Development
Python Development
Backend development and scripting with Python.
PythonFlaskDjango+2
- Duration
- 3–4 Months
- Mode
- Classroom + Live Online
- Level
- Beginner → Advanced
AI & Generative AI
AI & Generative AI
Applied AI tooling, prompting and integration patterns.
PythonLLM APIsPrompt EngineeringVector Databases
- Level
- Intermediate
- Duration
- 2–3 Months
- Mode
- Live Online
AI
What's inside
- Generative AI Foundations5 items
- Prompt Engineering5 items
- Working with LLM APIs5 items
- Embeddings and Vector Databases4 items
- + 2 more modules in the full syllabus
Next batch
Timing to be announced
Live Online
Overview
What you'll learn
About this course
AI & Generative AI is a practical introduction to building with large language models. You learn how to talk to models effectively, connect them to your own data and add AI features to real applications.
The emphasis is on engineering judgement: designing prompts, grounding answers with retrieval, evaluating output quality and understanding the limits and risks of AI systems.
You work in Python throughout, and finish with an applied project that combines prompting, retrieval and an application interface.
Who this course is for
- Developers who want to add AI features to their products
- Python learners ready to work with LLM APIs
- Analysts and engineers exploring practical AI use cases
- Learners who want a grounded understanding of prompting and retrieval
Before you start
Prerequisites
- Basic Python
- Level
- Intermediate
- Duration
- 2–3 Months
Prompting with intent
Structure prompts for reliable, repeatable results.
Retrieval from your data
Use embeddings and vector databases to ground answers.
Evaluate, don't assume
Test AI output for quality, safety and usefulness.
Applied project
Build an AI-powered application end to end.
Is it right for you?
Check if this course fits you
A quick, honest look at who gets the most from this course — and a self-check you can do in seconds.
A great fit if…
- Developers who want to add AI features to their products
- Python learners ready to work with LLM APIs
- Analysts and engineers exploring practical AI use cases
- Learners who want a grounded understanding of prompting and retrieval
!You may want to start elsewhere if…
- You are completely new to programming — build the basics first, then come back.
- You haven't practiced the prerequisites yet (basic python).
Try Python Development first.
Quick readiness check
0/1Tick what describes you today.
Not ticking everything? That's okay.
A counsellor can suggest where to begin and whether a refresher will help.
Talk to a counsellorLearning Outcomes
Skills you'll practice
Course examples, not institutional guarantees.
Explain how large language models work at a practical level
Apply LLM APIs to real use cases
Design and iterate on effective prompts
Generate and use text embeddings
Build retrieval-based question answering with a vector database
Integrate AI features into an application
Evaluate AI output for accuracy and usefulness
Recognise limitations, bias and responsible-use concerns
Tech Stack
Technologies you'll use
New to these names? Here's what each one is and why it's in the course.
PY
Python
A beginner-friendly language used for backends, automation, data and AI.
LA
LLM APIs
Services that let your code use large language models like a chat assistant.
PE
Prompt Engineering
Writing instructions that get reliable, useful answers from AI models.
VD
Vector Databases
Store text as numbers so you can search by meaning, not just keywords.
Your roadmap · 9 weeks
Curriculum
What you'll cover, module by module
- 6
- Modules
- 22
- Lessons
- 6
- Hands-on
- 9
- Weeks
Want the full syllabus walkthrough?
Talk to a counsellor about how each module fits your goals.
Book Free CounsellingModule order and durations are illustrative and may be adjusted by batch.
What LLMs are, what they do well, and where they fall short.
- LessonHow large language models work (conceptually)
- LessonTokens, context windows and model parameters
- LessonCapabilities, limitations and hallucinations
- LessonResponsible use, privacy and bias
- AssignmentCompare model responses on the same tasks
You'll finish this module with
Compare model responses on the same tasks
How you'll learn
What a typical module looks like
Every module follows the same four-step rhythm, so you always know what comes next.
Step 1
Learn it live
Join a live, instructor-led online session and ask questions in real time.
Step 2
Practice right away
Apply the topic in guided exercises while it's fresh, so it sticks.
Step 3
Build the assignment
Finish each module with a small, real piece of work — your own, not a copy-along.
Step 4
Get mentor feedback
A mentor reviews your work and tells you what to improve before you move on.
Projects
Practical work in this course
Example project
Document Q&A Assistant
Finding answers inside long documents quickly.
PythonLLM APIsVector Databases
Outcome
An assistant that answers questions with references to the source (example project).
Example project
Support Reply Drafter
Drafting consistent, on-brand customer replies.
PythonPrompt Engineering
Outcome
A tool that proposes replies from templates and context (example project).
Example project
Content Summariser
Condensing long articles into short briefs.
PythonLLM APIs
Outcome
A summariser with adjustable length and tone (example project).
Learning Modes
Available for this course
Live Online
Attend interactive instructor-led sessions from anywhere.
Certification
Certificate of Completion
Certificate of Completion, awarded on meeting the program's completion criteria. Certificate details and eligibility may vary by program.
- Awarded in your name for the program you complete
- Carries a unique certificate number and issue date
- Signed by the Director and the Training Head
- Includes a QR code printed on the certificate
The certificate on the right is a sample for illustration. Eligibility and details may vary by program.
Sample certificate
Career Support
Support alongside this course
Practical support to help you present your skills with confidence.
RG
Resume Guidance
PD
Portfolio Development
MI
Mock Interviews
TI
Technical Interview Preparation
CP
Communication Practice
JS
Job Search Guidance
FAQ
Questions about this course
Still have a question?
Our counsellors can walk you through AI & Generative AI and the right batch for you.
Talk to a CounsellorNo. The course focuses on applying existing models through APIs, not training models from scratch.
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Ready to start learning?
Talk to our team about the right learning path for you.