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AI & Cloud

Generative AIPractical applications of modern AI

Understand how large language models work and build practical applications with prompts, APIs and RAG.

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Course overview

Generative AI is changing how software is built and how work gets done. This course gives you a clear understanding of how large language models work — and the practical skills to use them responsibly.

You will learn effective prompt engineering, work with AI APIs from Python, and build retrieval-augmented generation (RAG) applications that answer questions from your own documents.

Who is this course for?

  • Students curious about AI and its applications
  • Developers who want to add AI features to applications
  • Professionals exploring AI for productivity

Prerequisites

  • Basic Python is recommended for the application-building modules

What you will learn

  • Explain how large language models work
  • Write structured, reliable prompts
  • Call LLM APIs from Python
  • Build retrieval-augmented (RAG) applications
  • Create simple assistants with tool use
  • Evaluate outputs and use AI responsibly

Module structure

  1. 01AI Foundations
    • AI, ML and generative AI explained
    • How large language models work
    • Capabilities and limitations
  2. 02Prompt Engineering
    • Prompt structure and patterns
    • Few-shot prompting
    • Structured outputs
  3. 03Working with AI APIs
    • Calling LLM APIs from Python
    • Managing context and cost
    • Handling responses
  4. 04Retrieval-Augmented Generation
    • Embeddings
    • Vector search
    • Building a document Q&A app
  5. 05AI Applications
    • Chatbots and assistants
    • Tool use and simple agents
    • Evaluating outputs
  6. 06Responsible AI
    • Accuracy and hallucinations
    • Privacy and data safety
    • Ethical use

Module sequence and depth may be tailored to the batch level. Detailed syllabus available on enquiry.

Hands-on learning

  • Prompt design workshops
  • Python AI API exercises
  • Document Q&A (RAG) application
  • Mini AI assistant build

Tools & technologies

  • Python
  • LLM APIs
  • Embeddings & vector databases
  • Jupyter Notebook

Learning outcomes

  • 01

    Explain how generative AI works and where it fits

  • 02

    Write effective, reliable prompts

  • 03

    Build simple AI-powered applications

  • 04

    Use AI responsibly and critically

Duration, mode, batches & certificate

Duration

Shared on enquiry

Current batch schedule shared on enquiry.

Training mode

Online / Offline / Hybrid

Availability varies by batch.

Batches

Weekday & Weekend

Choose weekday or weekend (Sat & Sun) classes.

Certificate

Completion certificate

Issued on completing programme requirements.

FAQ

Generative AI — FAQs

What is the batch size for Generative AI?

Batches are kept small, so each learner gets focused guidance and time for questions.

Will I receive a certificate?

Yes. Learners who complete the programme requirements receive a verifiable course completion certificate from Sarng Infotech.

What is the duration and fee?

Batch schedules and fees are shared on enquiry, as they depend on the mode and batch you choose. Send us an enquiry and our team will share the current details.

Ready to start Generative AI?

Small batches. Better learning. Talk to us about the next batch.

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