ML + DL Weekend Certification Program

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 Machine Learning → Deep Learning → NLP / GenAI → Computer Vision

Gain hands-on experience by working on real, practical projects such as Time-Series Forecasting, Intelligent Chatbots, Image Recognition systems, and more—projects that truly strengthen your portfolio.

Live + Recorded Lectures and 1-on-1 Doubt-Clearing Sessions

Learn directly from industry-experienced AI professionals who bring real- world insights, practical knowledge, and current trends into every session— so you learn what actually matters in today’s AI job market

Get dedicated placement assistance, including resume building, interview preparation, and career guidance. Earn a recognized certification that validates your skills and strengthens your professional credibility

Scikit-learn, Classification & Regression Models, Forecasting, Ensemble Techniques (Bagging & Boosting), Model Evaluation, Weight & Biases

TensorFlow, PyTorch, Keras, Neural Networks, Backpropagation, Gradient Descent, CNNs, RNNs, LSTMs

HuggingFace, ChatGPT, LangChain, Transformers, LLMs, Spacy, NLTK, BERT, Llama, FAISS, Pinecone, MongoDB, Prompt Engineering.

ChatGPT, Prompt Tuning, Quantization, BitsAndBytes, PEFT, LoRA, QLoRA — build efficient models even on low-resource hardware

OpenCV, YOLO, ResNet, MobileNet, VGGNet,  Optical Character Recognition (Tesseract, EasyOCR)

Flask / FastAPI, Streamlit, MLflow — take your models from notebook to production

Predict future trends using historical data — ideal for finance, stocks, sales, and demand forecasting use cases.

Design intelligent models to identify suspicious activities and frauds in real- world datasets.

Build NLP models that understand emotions, opinions, and customer feedback from text data. 

Create intelligent chatbots using NLP and Generative AI techniques for real customer interactions. 

Develop advanced AI assistants that retrieve knowledge from documents and generate accurate, context-aware responses. 

Train deep learning models to recognize and classify objects and images using CNN architectures.

Implement a classic deep learning project to understand neural networks and image pipelines.

Build real-time face detection systems using computer vision techniques. 

In the final week, you’ll complete a capstone project and deploy it as a working AI application—a real, shareable proof of your skills to showcase in interviews, resumes, and portfolios.