Artificial Intelligence & Generative AI - 3 Month Internship Training Program
Join 3 Month Artificial Intelligence & Generative AI Internship Training Program at NextVision Infotech. Master Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, LangChain, AI Agents. ₹1249 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete AI & Generative AI Project (3 Month)
Students will complete an advanced AI & GenAI project including ML model, deep learning model, LLM integration, prompt engineering, RAG implementation, LangChain agents, fine-tuning, AI agents, deployment, research report, and complete project documentation.
Program Modules
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.
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.
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.
W7-8: Weeks 7-8: RAG, LangChain, and Fine-Tuning
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, fine-tuning fundamentals, full fine-tuning, PEFT, LoRA, QLoRA, adapter layers, prefix tuning, prompt tuning, datasets, fine-tuning evaluation.
W9-10: Weeks 9-10: Diffusion Models, AI Agents, and Research
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, agentic workflows, tool use, planning, research methodology, research design, literature review, data collection, data analysis, research report writing, paper writing, publication.
W11-12: Weeks 11-12: Deployment, 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, live projects - chatbot, document Q&A, content generator, image generator, AI assistant, AI agent, research report, complete documentation, resume building, interview preparation, viva-voce examination, certificate distribution.
Key Features
What You'll Learn
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 |
Internship Details
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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