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Artificial Intelligence & Generative AI - 120 Hours Internship Training Program

Join 120 Hours Artificial Intelligence & Generative AI Internship Training Program at NextVision Infotech. Master Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, LangChain. ₹499 only with certificate.

120 Hours
Anywhere in India • Patna • (Offline & Online)
INT-AIDS-AIGEN-120H
Artificial Intelligence & Generative AI - 120 Hours Internship Training Program Banner

Program Description

NextVision Infotech presents a comprehensive Artificial Intelligence & Generative AI Internship Training Program spanning 120 hours. This advanced program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., M.Sc., and other technical streams - who want to master AI and Generative AI with hands-on, project-based training. The program covers the complete AI and Generative AI lifecycle from Python fundamentals to machine learning, deep learning, LLMs, prompt engineering, RAG, LangChain, fine-tuning, and deployment. Over 120 hours, the program progresses from fundamentals to advanced GenAI. Weeks 1-4 cover Python, ML, and deep learning. Weeks 5-8 cover LLMs, prompt engineering, RAG, and LangChain. Weeks 9-12 cover fine-tuning, agents, deployment, and live projects. The program follows industry-standard workflows used by professional AI engineers across India. Students work on real-world AI and GenAI projects including chatbots, content generators, image generators, and AI assistants. The curriculum draws inspiration from premier technical institutions across India and follows professional AI/GenAI standards used in the tech industry. Students gain advanced practical skills that prepare them for careers in AI engineering, GenAI development, LLM engineering, and AI product development. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, Research Training Certificate, and an Offer Letter. Learning outcomes include mastering AI, ML, deep learning, LLMs, prompt engineering, RAG, LangChain, fine-tuning, and AI deployment.

Skills You'll Learn

Python
NumPy
Pandas
Scikit-learn
TensorFlow
Keras
PyTorch
Machine Learning
Deep Learning
CNN
RNN
LSTM
Transformers
LLM
Prompt Engineering
RAG
LangChain
LlamaIndex
Vector Databases
Fine-Tuning
LoRA
QLoRA
Diffusion Models
GANs
AI Agents
Streamlit
Gradio
FastAPI
Docker

Projects You'll Work On

Complete AI & Generative AI Project (120 Hours)

Students will complete a full AI & GenAI project including ML model, deep learning model, LLM integration, prompt engineering, RAG implementation, LangChain agents, fine-tuning, deployment, research report, and complete project documentation.

Program Modules

1

W1-2: Weeks 1-2: Python for AI and Machine Learning

Python programming, data types, control flow, functions, OOP, NumPy, Pandas, data visualization - Matplotlib, Seaborn, data preprocessing, feature engineering, exploratory data analysis, machine learning fundamentals, supervised learning - linear regression, logistic regression, decision trees, random forests, SVM, KNN, unsupervised learning - k-means, hierarchical clustering, PCA, model evaluation, cross-validation, hyperparameter tuning, scikit-learn, Jupyter Notebook, Google Colab.

2

W3-4: Weeks 3-4: Deep Learning and Neural Networks

Deep learning fundamentals, neural networks, perceptron, multilayer perceptron, activation functions, loss functions, backpropagation, gradient descent, optimization algorithms - SGD, Adam, regularization - dropout, batch normalization, CNN - convolution, pooling, architectures - LeNet, AlexNet, VGG, ResNet, transfer learning, RNN, LSTM, GRU, sequence models, attention mechanism, transformers basics, TensorFlow, Keras, PyTorch, GPU computing.

3

W5-6: Weeks 5-6: Large Language Models and Prompt Engineering

Introduction to Generative AI, LLM fundamentals, LLM architecture, GPT, BERT, T5, LLaMA, Claude, Gemini, Mistral, tokenization, embeddings, context window, temperature, top-k, top-p, prompt engineering - zero-shot, few-shot, chain-of-thought, tree-of-thought, self-consistency, role prompting, prompt templates, prompt optimization, prompt injection, LLM APIs - OpenAI, Anthropic, Google Gemini, Hugging Face, API authentication, streaming, function calling, structured outputs, JSON mode.

4

W7-8: Weeks 7-8: RAG, LangChain, and Vector Databases

Retrieval-augmented generation (RAG), RAG architecture, document loading, text splitting, embeddings, vector databases - Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, retrieval, re-ranking, generation, RAG evaluation, LangChain fundamentals, chains, agents, tools, memory, callbacks, LCEL, LlamaIndex, live projects - document Q&A, chatbot.

5

W9-10: Weeks 9-10: Fine-Tuning, Diffusion Models, and AI Agents

Fine-tuning fundamentals, full fine-tuning, PEFT, LoRA, QLoRA, adapter layers, prefix tuning, prompt tuning, datasets, fine-tuning evaluation, diffusion models, DDPM, stable diffusion, latent diffusion, text-to-image, image-to-image, inpainting, outpainting, controlnet, LoRA, DreamBooth, GANs, VAEs, AI agents, multi-agent systems, AutoGen, CrewAI, LangGraph.

6

W11-12: Weeks 11-12: Deployment, Research, Live Projects, and Certification

Model deployment, LLM deployment, API deployment, Streamlit, Gradio, FastAPI, cloud deployment - AWS, GCP, Azure, Hugging Face Spaces, Docker, MLOps, LLMOps, monitoring, cost optimization, research methodology, research design, literature review, data collection, data analysis, research report writing, live projects - chatbot, document Q&A, content generator, image generator, AI assistant, research report, complete documentation, resume building, interview preparation, viva-voce examination, certificate distribution.

Key Features

120 Hours Comprehensive Training
Industry-Standard Curriculum
Live AI/GenAI Projects
LLM & RAG Training
LangChain & Fine-Tuning
Research Report Included
Professional Documentation
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Viva-Voce Preparation
Online & Offline Mode
Pan-India Enrollment

What You'll Learn

Master AI, ML, and Deep Learning
Understand LLMs and Transformer architecture
Apply prompt engineering techniques
Implement RAG systems
Build applications with LangChain
Fine-tune LLMs using LoRA/QLoRA
Implement AI agents
Deploy AI/GenAI applications
Build a professional AI portfolio
Prepare for AI and GenAI jobs across India

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Project Evaluation 100 50
Research Report 100 50
Final Presentation 50 25
Viva-Voce 50 25
Artificial Intelligence & Generative AI - 120 Hours Internship Training Program

Internship Details

Duration 120 Hours
Location Anywhere in India • Patna • (Offline & Online)
Available Seats 100
Course Code INT-AIDS-AIGEN-120H
Apply Now — ₹999

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc./M.Sc. in Computer Science, IT, or related field
  • Basic knowledge of Python programming
  • Basic knowledge of machine learning concepts
  • Interest in AI and Generative AI

Who Can Enroll ?

  • B.Tech Computer Science students (1st to 8th semester)
  • B.E. IT students
  • BCA/MCA students
  • B.Sc./M.Sc. Computer Science students
  • AI/ML aspirants
  • Working professionals wanting to upskill
  • Students from all over India seeking advanced practical training

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