Cloud System Administration with AWS & Azure
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Generative AI & LLM Application Development
Build useful applications with large language models, structured prompting, tools and evaluation.
Admissions Open
₹27,999 Indicative fee — update before production launch
Duration12 Weeks
FormatOnline / Classroom
LevelIntermediate
ScheduleWeekday / Weekend batches
Course overview
Learn how modern LLM applications are designed and tested. The course covers prompt engineering, structured outputs, model APIs, embeddings, tool use, guardrails, evaluation and practical application architecture.
What you will be able to do
✓Design reliable prompts
✓Integrate LLM APIs
✓Use structured outputs and tools
✓Understand embeddings and retrieval
✓Evaluate LLM application quality
Curriculum
LLM Foundations2 Weeks
How LLM applications work
Tokens/context
Model selection concepts
Prompt Engineering2 Weeks
Instruction design
Few-shot patterns
Structured outputs
Application Integration3 Weeks
LLM APIs
Streaming
Function/tool calling concepts
Embeddings & Retrieval2 Weeks
Embeddings
Semantic search
RAG introduction
Evaluation & Capstone3 Weeks
Quality and safety evaluation
Cost/latency concepts
Final LLM application
Projects you can build
AI Support Assistant
Context-aware assistant for answering product or service questions.
Document Summarisation Workspace
Upload content, summarise and extract structured insights.
Frequently asked questions
Do I need prior experience?
The entry requirement depends on the course level. Beginner courses start from fundamentals; intermediate tracks expect basic programming or domain knowledge.
Will I build projects?
Yes. Every course includes practical labs and one or more projects designed to help you demonstrate the skills you learn.
Is a certificate included?
Yes. A completion certificate can be issued after meeting attendance, assessment and project requirements.
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