GEN AI / BUILD YOUR NEXT CHAPTER

Less guessing.
More creating.

Turn your ideas into AI-powered tools.

Explore how prompts, models, and retrieval work together. Build thoughtful AI applications and learn to evaluate their outputs.

Explore Gen AI See the learning path

Gen AI learning

ONE LANGUAGE. OPEN POSSIBILITIES.
{ai_}
01 / THINK02 / BUILD03 / ITERATE
YOUR IDEAS BELONG HERE ↗

01 / THE APPROACH

One focus.
A whole new toolkit.

A proposed Gen AI learning approach: understand the pieces, experiment with them, and put them to work.

01 / UNDERSTAND

Start with the right question.

Define the task, the context, and what a helpful response should look like.

START WITH A QUESTIONprompt = task + context
draft = generate(prompt)
Think clearly
02 / EXPERIMENT

Test what comes back.

Compare outputs. Check the facts. Improve the prompt and measure the difference.

MAKE THE CONNECTIONsources = retrieve(question)
answer = respond(sources)
Learn by trying
03 / CREATE

Make AI useful.

Combine model interactions and clear safeguards in a practical prototype.

BRING IT TOGETHERresult = evaluate(answer)
review(result)
Connect the pieces

A proposed learning approach Illustrative pseudocode

02 / YOUR LEARNING PATH

From the first line
to your next idea.

A proposed path through Gen AI. Topics below are illustrative and await confirmation from CodeistaAI.

Illustrative curriculum.
Final syllabus and prerequisites to be confirmed by CodeistaAI.

Explore Gen AI
01Understand the modelGenerative AI & foundations

Explore how language models generate responses and where their limitations matter.

  • LLMs
  • Tokens
  • Context
  • Limitations

Try it: Compare sample model responses for a simple task.

02Shape better responsesPrompts & structured outputs

Give clear instructions, useful context, and output constraints you can evaluate.

  • Prompt design
  • Examples
  • JSON output
  • Validation

Try it: Design a prompt for a structured summary.

03Ground answers in contextEmbeddings & retrieval

Explore how retrieval can connect an AI application with relevant source material.

  • Embeddings
  • Retrieval
  • RAG
  • Source references

Try it: Prototype a question-answer flow over sample documents.

04Build with careEvaluation & application design

Connect the pieces while considering privacy, failure cases, and human review.

  • Evaluation
  • Guardrails
  • Privacy
  • Human review

Try it: Test a small assistant against expected and unexpected inputs.

03 / PUT AI TO WORK

Don't just read it.
Make it do something.

Example project directions, not confirmed course deliverables. A glimpse of what Gen AI can help you explore.

organize.py
notes.txt→ /documents
photo.png→ /images
data.csv→ /datasets
APPLICATION EXPLORATION

Ask your documents.

Explore an assistant that retrieves relevant passages from sample documents and shows its sources.

Illustrative project · scope to be confirmed
sample.csvILLUSTRATIVE DATA
A
B
C
APPLICATION EXPLORATION

Give long reads a shortcut.

Prototype a summarizer with structured outputs and a human review step.

Illustrative project · scope to be confirmed

Your next project could start with a problem you notice every day.

Explore the foundations

04 / A LITTLE CLARITY

Before you
take the next step.

A few things to know about this Gen AI course.

What does this Gen AI page cover?

This page explores a proposed Gen AI learning path. Final curriculum, prerequisites, and delivery details are to be confirmed.

Do I need coding experience?

The proposed learning path begins with fundamentals. Eligibility, target audience, and any prerequisites are awaiting confirmation from CodeistaAI.

What are the fees and schedule?

Course price, duration, delivery format, and start dates are to be confirmed. This preview does not accept bookings or payments.

Who teaches the course?

Instructor details are to be confirmed. No instructor profile, credential, or affiliation has been supplied for this preview.

Are certificates or placements included?

Certification and placement support details have not been provided. This preview makes no promises about certificates, employment, or career outcomes.

Will the form contact CodeistaAI?

Yes. Submitting the enquiry form sends your details to the CodeistaAI team so we can provide you with course information and next steps.

Explore what learning Gen AI could look like for you.

Curiosity is
a great first step.

Explore what learning Python could look like for you.

Course
Gen AI
Price & duration
To be confirmed
Format & start date
To be confirmed
Course Enquiry

Submit your details to receive full syllabus information and next batch schedules.

COURSE ENQUIRY

Let's start with you.

Fill in your details to receive course information and syllabus.

All fields are required.

Enter a 10-digit Indian mobile number (+91).