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Generative AI Development Course

The Generative AI Development Course at Akshata IT is designed to help students, freshers, and working professionals build industry-ready skills in Artificial Intelligence. Through expert-led live sessions, hands-on coding, real-world AI projects, and dedicated placement support, you’ll learn to develop intelligent AI applications using Python, Large Language Models (LLMs), Prompt Engineering, OpenAI APIs, Google Gemini, LangChain, Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, FastAPI, and Streamlit. By the end of the Generative AI Development Course, you’ll have the practical experience and confidence to design, build, and deploy enterprise-grade AI solutions, preparing you for high-demand roles such as Generative AI Developer, AI Engineer, and LLM Developer.

  • 4 Months
  • Online / Offline
  • Small Batches

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Generative AI Development Course
  • Program Highlights

Learn by doing in a real classroom environment.

Our Generative AI Development program combines expert-led live training with hands-on coding, real-world AI projects, modern development frameworks, and dedicated placement support—helping you become a job-ready AI Developer from day one.

Small Batch Sizes

Max 20 students

Live Projects

5+ industry projects

Certifications

IBM & Industry

Placement Support

100% assistance

Why Choose Our Generative AI Development Course?

Our Generative AI Development Course follows an industry-focused curriculum aligned with the latest AI technologies, real-world business applications, and current hiring requirements, ensuring you gain practical skills that employers are actively looking for. The course emphasizes hands-on learning through live coding sessions, real-time projects, and modern AI development frameworks, enabling you to confidently build, deploy, and manage intelligent AI-powered applications for today’s rapidly evolving technology landscape.

  • Learning Outcomes
  • Build AI-powered applications using Python and LLMs.
  • Integrate OpenAI, Gemini, and AI APIs.
  • Develop AI Agents, RAG, and chatbot solutions.
  • Create real-world AI projects with modern frameworks.
  • Deploy scalable AI applications using FastAPI and Streamlit.
  • Become job-ready for Generative AI Developer and AI Engineer roles.
  • Skills You'll Master
Module 1: Python Programming for AI
  • Python Fundamentals
  • Variables, Data Types & Operators
  • Control Statements & Loops
  • Functions & Modules
  • Object-Oriented Programming (OOP)
  • Exception Handling
  • Introduction to Generative AI
  • AI vs Machine Learning vs Deep Learning
  • Large Language Models (GPT, Gemini, Llama)
  • Prompt Engineering
  • OpenAI API Integration
  • Google Gemini API
  • AI Ethics & Responsible AI
  • LangChain Fundamentals
  • LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (FAISS, ChromaDB, Pinecone)
  • Embeddings
  • AI Agents
  • MCP (Model Context Protocol)
  • AI Chatbot Development
  • Document Q&A System
  • AI Content Generator
  • AI Resume Analyzer
  • AI Email Generator
  • AI Workflow Automation
  • AI Code Assistant
  • FastAPI
  • Streamlit
  • REST APIs
  • Git & GitHub
  • Docker Basics
  • Application Deployment
  • Cloud Deployment Basics
  • Tools & Technologies
  • Python
  • OpenAI & Google Gemini APIs
  • LangChain & LlamaIndex
  • Vector Databases
  • FastAPI & Streamlit
  • Git & GitHub
  • Docker
  • VS Code & Postman
  • Projects & Capstone

E-Commerce Website Automation

Automate end-to-end testing for an e-commerce application, including user registration, login, product search, cart, checkout, and payment workflows using Playwright or Selenium.

API Testing & Automation Framework

Develop an API automation framework to test REST APIs using Postman, REST Assured, and AI-assisted testing tools, including request validation, response verification, and reporting.

AI-Powered Software Testing Framework

Build a complete automation testing framework integrating Manual Testing, Playwright/Selenium, API Testing, CI/CD, and AI-powered testing tools. Generate automated test reports, implement data-driven testing, and execute tests through GitHub Actions or Jenkins, simulating a real-world enterprise QA environment.

  • Career Roles After the Course
Software Test Engineer
QA Automation Engineer
Playwright Automation Tester
AI Software Testing Engineer
API Test Engineer

Placement Assistance

Resume Building

Professional resume review and optimization

Mock Interviews

Practice with industry-style interviews

Job Referrals

Direct referrals to hiring partners

Certifications

Akshata IT Certificate

Course Completion

Industry Certification

Exam Preparation

IBM Partner Certificate

Premium Track

  • Frequently Asked Questions
How is Generative AI different from traditional AI technologies?

Generative AI focuses on creating new content such as text, images, code, and audio, while traditional AI mainly analyzes existing data. Gen AI uses advanced models like LLMs, making it more powerful for automation and innovation.

Generative AI training helps you learn prompt engineering, LLM integration, Gen AI model usage, AI application development, and real-world implementation of generative AI solutions across industries.

Basic programming knowledge is helpful but not mandatory. Gen AI courses start with fundamentals and gradually introduce advanced concepts, making them suitable for both beginners and experienced professionals.

After completing Generative AI training, learners can pursue roles such as Gen AI Engineer, AI Developer, Prompt Engineer, AI Solution Architect, and AI Automation Specialist.

Yes, Generative AI courses are designed with flexible schedules, hands-on labs, and practical use cases, making them ideal for working professionals looking to upskill without disrupting their jobs.

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Register now for a free demo session and discover how Akshata IT can help you achieve your career goals.

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