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LLM Application Development Course

Engineer production LLM features: APIs, function calling, structured outputs, evals and cost control.

Quick Answer

LLM Application Development teaches programmers to integrate large-language-model APIs into products correctly: prompt architecture, function calling, JSON-structured outputs, streaming responses, evaluation suites and token-cost management.

  • Instructor-led LIVE classes
  • Practical projects
  • Pan-India online
  • Beginner-friendly paths
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About this program

Wrapping a chat endpoint is a weekend; shipping an LLM feature users trust is engineering. Production concerns pile up fast: inconsistent JSON, latency spikes, silent regressions after model updates, invoices that surprise finance. Teams need developers fluent in these failure modes.

This course treats models as powerful, unreliable components needing defensive engineering. Weekly labs build progressively serious applications — culminating in a deployed feature with tests, fallbacks and a documented evaluation report.

What you will learn

  • LLM API proficiency
  • Function/tool calling
  • Structured output schemas
  • Streaming UX
  • Token cost engineering
  • Evaluation harness building

Course curriculum

A structured progression across 8 modules — each combining live teaching, guided practice and review. Topic emphasis is tuned per batch to current tool versions.

  1. 01

    Model APIs Properly

    • Provider landscape and abstraction trade-offs
    • Parameters that matter: temperature, max tokens, stops
    • Streaming implementation and perceived-latency design
  2. 02

    Prompt Architecture in Code

    • System/user separation and message histories
    • Template management and versioning prompts like code
    • Few-shot assembly from examples stored as data
  3. 03

    Structured Outputs

    • JSON schema enforcement and validation loops
    • Pydantic-style parsing patterns
    • Graceful degradation on malformed responses
  4. 04

    Tool Calling / Function Use

    • Defining callable tools with safe boundaries
    • Multi-step orchestration patterns
    • Idempotency and side-effect discipline
  5. 05

    Retrieval Integration

    • Embedding pipelines in application code
    • Cache layers: exact, semantic and prompt caches
    • Freshness invalidation strategies
  6. 06

    Quality Engineering

    • Assertion-based output tests and CI integration
    • LLM-as-judge evaluation with calibration caveats
    • Regression suites surviving model-version bumps
  7. 07

    Cost and Performance

    • Token accounting and budget alerts
    • Model-routing ladders by task complexity
    • Latency profiling and parallelisation wins
  8. 08

    Shipping and Operating

    • Rate-limit resilience and queue buffering
    • Observability: tracing prompts, costs, outcomes
    • Capstone deployment with runbook and eval dashboard

Practical projects you build

These become portfolio pieces — evidence of skill for employers and clients.

  • 1

    Support-ticket triage service returning typed classifications via API

  • 2

    Document-comparison feature highlighting contract changes safely

  • 3

    Natural-language reporting endpoint translating questions to SQL-ish queries with guards

  • 4

    Multi-tool research assistant with citation enforcement

Benefits after completing

What changes once you apply these skills consistently.

  • Interview-ready portfolio of engineered AI features

  • Habits preventing the classic production disasters

  • Cost literacy that saves employers real money

  • Clear progression path into AI engineering specialisations

Career applications

AI/ML application developer roles Platform teams enabling org-wide LLM usage Startup CTO-track generalists with AI edge Contract engineering for AI-feature roadmaps

Outcomes depend on individual effort and market conditions — we prepare skills, never sell guaranteed placements.

Trainer Experience

Learn from people who do the work

Training is delivered by industry-experienced professionals with 10+ years of practical experience. Sessions include real demonstrations, honest trade-off discussions and feedback shaped by production realities.

LIVE Online Training Details

What every session includes

  • Instructor-led LIVE sessionsInteractive video classes — ask, practise, clarify instantly.
  • Practical demonstrationsWatch real builds happen on screen, step by step.
  • Doubt solvingQuestions answered during class and through batch support.
  • Guided projectsAssignments reviewed by instructors with specific feedback.
  • Accessible pan-IndiaAttend from home or office anywhere in India — no centre needed.

Frequently asked questions

Specific answers about this program. Anything else — WhatsApp us, we reply.

Primary demonstrations use Python with JavaScript equivalents shown where patterns diverge notably. Concepts port cleanly to other ecosystems since everything rides HTTPS APIs.

Interested in LLM Application Development Course?

Share your details — our counselling team will share batch schedules, fee structure and arrange your free demo class.

Request a Call Back

Share your details and our counselling team will contact you with batch details and a free demo.

Prefer instant answers? Chat on WhatsApp  or  call +91 81888 77720.

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