Artificial Intelligence & Generative AI - 1 Month Internship Training Program
Join 1 Month Artificial Intelligence & Generative AI Internship Training Program at NextVision Infotech. Learn Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, LangChain. ₹649 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete AI & Generative AI Project (1 Month)
Students will complete a full AI & GenAI project including ML model, deep learning model, LLM integration, prompt engineering, RAG implementation, LangChain, fine-tuning, deployment, and complete project documentation.
Program Modules
W1: Week 1: Python, ML, and Deep Learning
Python programming, data types, control flow, functions, NumPy, Pandas, data visualization, data preprocessing, machine learning fundamentals, supervised learning - linear regression, logistic regression, decision trees, random forests, SVM, KNN, unsupervised learning - k-means, PCA, model evaluation, cross-validation, hyperparameter tuning, deep learning fundamentals, neural networks, perceptron, multilayer perceptron, activation functions, loss functions, backpropagation, gradient descent, CNN - convolution, pooling, architectures - LeNet, AlexNet, VGG, ResNet, transfer learning, RNN, LSTM, GRU, attention mechanism, transformers basics, TensorFlow, Keras, PyTorch.
W2: Week 2: LLMs 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.
W3: Week 3: RAG and LangChain
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.
W4: Week 4: Fine-Tuning, Deployment, Live Projects, and Certification
Fine-tuning fundamentals, PEFT, LoRA, QLoRA, adapter layers, datasets, fine-tuning evaluation, 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, complete documentation, 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 |
| Final Presentation | 50 | 25 |
| Viva-Voce | 50 | 25 |
Internship Details
Prerequisites
- Pursuing or completed B.Tech/B.E./BCA/MCA/B.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. Computer Science students
- AI/ML aspirants
- Working professionals wanting to upskill
- Students from all over India seeking practical training
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