NXTGEN Intelligence Academy LLP
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On-the-Job Training (OJT) : AI/ML/Gen AI Engineer Program

A Complete 1-Year Industry-Integrated Learning & Work Experience Program In collaboration with NXTGEN Innovate Technologies+

Program Overview

The AI-Engineer Program is a one-of-a-kind, career-launching opportunity that blends intensive training with real-world industry experience. Over the course of one year, participants will progress from classroom learning to working on live in-house and client projects at NXTGEN Innovate Technologies, gaining hands-on exposure to modern software development and AI integration practices. This flagship program blends the core foundations of Artificial Intelligence and Machine Learning with the latest advancements in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. Designed for college students and fresh graduates, the program takes a hands-on approach with projects, real-world case studies, and industry-relevant tools. Learners graduate with both career-ready skills and future-ready expertise to thrive in tomorrow’s AI-driven world.

OJT Program: AI First Full Stack Software Developer

What You Will Learn

  • Mathematics for AI ML – Linear Algebra, Calculus, Probability & Statistics
  • Python – Programming essentials for Data Science & Machine Learning
  • Core concepts of AI & ML and their practical applications
  • Hands-on training with frameworks like Scikit-learn, TensorFlow & PyTorch
  • Building predictive models and solving real-world challenges
  • Building Artificial Neural Network Nodels using deep learning
  • Building Computer Vision models with CNNs (Convolutional Neural Networks) for Image Classification / Object Detection
  • Building Models using Natural Language Processing for Text Classification / Sentiment Analysis
  • Exploring Generative AI & Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG) for enhanced AI capabilities
  • Agentic AI & autonomous systems for workflow automation and innovation
  • Capstone projects that combine AI/ML with NLP, Generative AI, RAG & Agentic AI
  • Career guidance to explore opportunities in AI, IT & emerging fields

Tools & Technologies Covered

  • Statistics and Maths: Linear Algebra, Calculus
  • Programming & Data Science: Python, NumPy, Pandas, Matplotlib, Seaborn
  • Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch
  • Data Handling & Databases: SQL, NoSQL, Excel
  • Version Control & Collaboration: Git, GitHub
  • Generative AI & LLM Tools: OpenAI APIs, Hugging Face, LangChain
  • RAG & Agentic AI: Pinecone, FAISS, LlamaIndex, Autonomous Agent Frameworks
  • Productivity Tools: Jupyter Notebooks, Google Colab, VS Code

Minimum Qualification & Requirements

  • Open to college graduates, freshers, or early-career professionals in IT/CS fields.
  • Familiarity with basic programming.
  • Access to a laptop/computer with stable internet.
  • Commitment to on-site or hybrid OJT work environment.

Modes of Learning

  • On-the-Job Training (Office Setup)

Final Outcome:

    By the end of the program, learners will become an AI/ML/Gen AI Engineer, with real-world project experience, cloud deployment skills, and AI productivity tools – making them highly employable in IT companies and startups.

  • Build enterprise-grade AI ML Gen AI Applications.
  • Deploy applications on AWS/GCP using CI/CD pipelines.
  • Use AI tools for coding productivity.
  • Gain real OJT project experience, making them job-ready as AI/ML/Gen AI Engineer.
Linear Algebra, Calculus and Statistics for machine learning
Introduction to Python for AI
Data Structures, Loops & Functions
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Data Cleaning & Preparation
Mini Project: Exploratory Data Analysis with Python
What is Artificial Intelligence? – History, Applications, Use Cases
Machine Learning Basics – Supervised vs Unsupervised vs Reinforcement Learning
Regression & Classification Models
Decision Trees, Random Forests, KNN
Project 1: Predictive Analytics on Real-World Dataset
Feature Engineering & Selection
Model Evaluation: Accuracy, Precision, Recall, F1-Score
Ensemble Methods: Bagging, Boosting, XGBoost
Hyperparameter Tuning & Optimization
Project 2: End-to-End ML Pipeline
Neural Networks – Perceptrons, Activation Functions, Backpropagation
Introduction to TensorFlow & PyTorch
Building Deep Neural Networks (DNNs)
Project 3: Build a Deep Learning Model
Introduction to CNNs (Convolutional Neural Networks)
Image Classification & Transfer Learning
Object Detection & Recognition
Project 4: Image Classification / Object Detection Model
Text Preprocessing & Feature Extraction
Word Embeddings: Word2Vec, GloVe
Sequence Models: RNN, LSTM, GRU
Transformers & Attention Mechanisms
Project 5: Text Classification / Sentiment Analysis
Introduction to Generative AI
Large Language Models (LLMs): GPT, BERT, T5
Prompt Engineering & Fine-Tuning
Creative AI Applications: Text, Image, Video, Code Generation
Project 6: Build a Generative AI Tool (e.g., Content Generator)
Retrieval-Augmented Generation (RAG): Concepts, Tools, and Use Cases
Building Gen AI Apps
Introduction to Agentic AI – Autonomous Agents & Workflow Orchestration
Applications in Business, Productivity, and Automation
Project 7: Build an AI Agent with RAG + LLMs
Integrated AI Solution: Combine ML + Generative AI + RAG + Agentic AI
Project Examples: AI-powered Chatbot, Smart Recommendation System, Automated Research Assistant
Presentation & Demo to Panel

Phase 1
4 Months: Advanced Training & Skill Development

  • Training full-time (8 hours/day, Monday–Friday)
  • AI/ML/Gen AI Engineer
  • AI-Powered Productivity Tools for Developers
  • Cloud Fundamentals (AWS / GCP Integration)
  • Real-world Assignments & Mini Projects
  • Industry Mentorship and Continuous Evaluation

Phase 2
8 Months: Live Project Implementation & Work Experience

  • Work full-time (8 hours/day, Monday–Friday) on real in-house and client projects
  • Collaborate with project teams at NXTGEN Innovate Technologies
  • Apply your training to solve real business problems and deliver solutions
  • eceive regular performance reviews and mentorship

Career & Benefits

  • Your resume will be marketed for client projects and placements through NXTGEN Innovate Technologies
  • Appropriate compensation will be offered once you are deployed on client engagements
  • Gain a 1-Year Experience Letter from NXTGEN Innovate Technologies upon program completion
  • Receive industry-recognized certification from NXTGEN Intelligence Academy

Why Choose This Program?

  • Combines training + real-world experience
  • Builds a strong professional portfolio
  • Offers direct industry exposure
  • Provides a path to full-time employment
  • Grants a 1-year verifiable experience from a registered technology company

OJT Program: AI First Full Stack Software Developer

Top Job Roles

  • AI & Machine Learning Engineer
  • Generative AI Engineer/Specialist
  • Data Scientist AI & ML
  • Applied AI Engineer
  • AI Solutions Architect (Generative AI Focus)

Packages

  • Entry Level: 12 LPA
  • Mid-Level: 17 LPA
  • Senior Level : 25 LPA
  • Lead/Expert Level : 35+ LPA
OJT Program: AI First Full Stack Software Developer
  • Duration
    1 Year
  • Mode
    On-the-Job Training
  • Language
    English
  • Skill level
    Intermediate to Advanced
  • Certificate
    Yes

  • Certification and OJT Experience Letter