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Generative AI for Developers — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Add LLM-powered features to your applications and work faster with AI coding assistants
Course fee
₹31,999₹49,499
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 27 Oct 2026
About the course
Large language models have become a normal part of the developer toolkit, both as a feature you build into products and as an assistant that helps you write code. This course focuses on the developer side: how to call model APIs from Python or TypeScript, design prompts, get reliable structured output, connect models to your data and tools, and ship features that are tested and safe.
You start with how LLMs work at a practical level (tokens, context windows, temperature, cost and latency), then build progressively: chat and streaming interfaces, structured JSON output, function or tool calling, retrieval-augmented generation with embeddings and a vector store, and simple agents that use tools. Model Context Protocol (MCP) is introduced as a way to connect models to external tools and data. You also learn evaluation, prompt-injection defences, privacy considerations and cost control. A separate module covers using AI coding assistants well: writing good prompts for code, reviewing output, and keeping code quality high.
There is no external vendor exam for this course. Model providers and their features change quickly, so the course teaches concepts that stay stable and uses current provider APIs for hands-on work. You receive an Assure Success course-completion certificate on completion.
Practical, not theoretical
You build working features rather than only learning definitions.
Provider-neutral thinking
Concepts apply across model APIs, so you are not tied to one vendor.
Reliability focus
Evaluation, guardrails and cost control separate demos from production features.
Productivity gains
Learn when AI assistants help and when they mislead.
Growing demand
Teams across industries are hiring developers who can ship AI features.
Curriculum
LLM Concepts for Developers
Understand what you are calling.
Working with Model APIs
Call models from code.
Prompt Engineering
Get dependable behaviour.
Structured Output and Tool Calling
Connect models to code.
Embeddings and Retrieval-Augmented Generation
Ground answers in your data.
Agents and Model Context Protocol
Build tool-using assistants.
Curriculum (continued)
Evaluation and Observability
Measure quality and cost.
Safety, Security and Privacy
Ship responsibly.
AI Coding Assistants in Practice
Work faster without lowering quality.
Capstone
Ship an AI feature end to end.
Your certificate
Enrol in the next scheduled live batch and set up Python 3.12 or later or Node.js LTS, plus API access as per the setup guide
Attend live sessions and complete the lab for each module
Build the capstone AI feature with an evaluation set
Present the capstone and its evaluation results in the final session
Receive the Assure Success course-completion certificate (a training certificate, not a vendor exam credential)
LLM fundamentals
Explain tokens, context windows, sampling parameters, latency and cost trade-offs.
Prompt design
Write clear system and user prompts, use examples and manage conversation state.
Structured output and tool calling
Make models return validated JSON and call your functions safely.
RAG pipelines
Chunk documents, create embeddings, search a vector store and ground answers in your data.
Agents and MCP
Build tool-using agents with limits, and connect tools through Model Context Protocol.
Evaluation and testing
Create test sets and measure quality, regressions and cost for AI features.
Safety and security
Defend against prompt injection, protect secrets and personal data, and add guardrails.
AI-assisted development
Use coding assistants for code, tests and refactoring while reviewing output critically.
Your future
Careers after this course
AI Application Developer₹6–18 LPA (approx.)
Builds products and features powered by LLM APIs.
Full-Stack Developer (AI features)₹5–16 LPA (approx.)
Adds chat, search and automation features to web applications.
Backend Engineer (LLM Integration)₹6–18 LPA (approx.)
Designs reliable APIs and pipelines around model calls.
ML / Data Engineer (Applied AI)₹6–20 LPA (approx.)
Builds data pipelines and retrieval systems that feed AI applications.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹31,999. Enroll at assuresuccess.in/course/genai-for-developers
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.