Generative AI for Developers

Generative AI for Developers

  • Understand AI Fundamentals
  • Identify Business Opportunities
  • Plan & Execute Projects
  • Evaluate Impact & Ethics

60 Hours

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Beginner level

No Prior Knowledge Required

Flexible Learning

Available in Online, Offline, and
Hybrid Modes

60 Hours

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Program Overview

A practical, industry-focused program designed for developers to master Generative AI concepts, tools, and deployment. The course bridges theory and hands-on applications, enabling learners to build and scale real-world AI solutions using modern frameworks and APIs.

Key Features

Duration: 4–6 months (flexible learning pace)

Mode: Hybrid (Live Instructor-led + Self-paced Labs)

100+ hours of learning content

Hands-on projects with real datasets

Capstone project with industry relevance

Certification upon completion

Mentor & career support

Skills Covered

  • Prompt Engineering & Advanced Prompting
  • Building with Large Language Models (LLMs)
  • Fine-tuning & Custom Model Training
  • Retrieval-Augmented Generation (RAG) Pipelines
  • LangChain, HuggingFace, OpenAI APIs
  • Vector Databases (Pinecone, FAISS)
  • Multimodal Generative AI (text, image, code)
  • Deployment on Cloud & APIs Integration
Next Cohort Countdown

Course Curriculum

Introduction: AI in SDLC & Developer Tools
Module 1 • 10 hour to complete
• Overview of AI roles in the software lifecycle
• Generative AI, code synthesis, auto-completion tools
• Capabilities & limitations of AI assistants
Code Generation & Synthesis
Module 2 • 10 hour to complete
• Translating natural language requirements into code
• Using LLMs/AI tools to write boilerplate code, functions
• Prompt engineering for code tasks
Testing, Debugging & Refactoring with AI
Module 3 • 10 hour to complete
• Automatic test case generation and optimization
• Bug detection, prediction, and fix suggestions
• AI-based code review, refactoring, and optimization
AI in DevOps & CI/CD
Module 4 • 10 hour to complete
• Automating pipeline tasks, deployment prediction & scaling
• Monitoring, anomaly detection, failure prediction
• Infrastructure as code and AI-driven deployment decisioning
Architecture, Design & Documentation Assistance
Module 5 • 10 hour to complete
• AI suggestions for system/solution architecture
• Generating design diagrams, UI mocks
• Auto-documentation: APIs, inline docs, specification generation
Security, Risk & Governance in AI-augmented Development
Module 6 • 10 hour to complete
• Vulnerability detection and mitigation in generated code
• Mitigating overreliance, bias, and transparency issues
• Human oversight, auditing, and explainability
Capstone Project
Module 7 • 10 hour to complete
• Choose a software development domain (web app, API, mobile app)
• Use AI tools for code generation, testing, deployment, documentation
• Deliver a working prototype, with analysis of AI impact & risks

Tools & Technologies

Completion Certificate

Master in NextGen AI & Data Science Certificate

Job Role

Training Option

Ready to shape your future?

Enroll Now or Talk to Our Experts: 07948221005

Why Join this Program

Earn a job

Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.

Leverage knowledge from industry experts

Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.

Industry-relevant Tools & Practical Learning

Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.

Structured, industry-vetted curriculum

A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.

Integrated with Gen AI Modules

The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.

Interview preparation & Placement assistance

Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.

FAQ

Basic Python is enough; we cover everything from scratch.
No — this course teaches ML fundamentals too.
Absolutely — this is designed for career transition.
You’ll need to put in extra effort, but many succeed.
Yes — the curriculum includes real-world LLM integration.
Yes — including techniques used by AI professionals.
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