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Join our AI & ML programs and gain expertise in deep learning, natural language processing, and predictive analytics. Work on real-world projects and build AI models used in healthcare, finance, and automation.
Industry-recognized certifications to boost your career in AI & ML.
Understanding AI, types of machine learning, industry applications, and ethical considerations.
Learn Python libraries (NumPy, Pandas, Matplotlib, Scikit-learn) for data processing and visualization.
Regression, classification, clustering, and model evaluation with real-world datasets.
Fundamentals of deep learning, neural networks, activation functions, and backpropagation.
Convolutional Neural Networks (CNNs), object detection, OpenCV, and facial recognition.
Deploy AI models using Flask, FastAPI, cloud computing, and work on industry-grade projects.
Text processing, sentiment analysis, chatbots, transformers, and BERT.
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Become an AI & ML expert by mastering **Data Science, Deep Learning, NLP, Computer Vision, and AI Deployment**. Work on **real-world projects** and learn from industry experts.
Understand **AI concepts, types of Machine Learning, real-world applications, and ethics in AI**.
Learn **data cleaning, feature engineering, visualization (Matplotlib, Seaborn)**, and preprocessing.
Master **Regression, Classification (SVM, Decision Trees, Random Forest)**, and **Clustering (K-Means, PCA)**.
Build **ANNs, CNNs (for Image Recognition), RNNs, and Transformers** using TensorFlow & PyTorch.
Work on **text classification, sentiment analysis, chatbots, transformers (BERT, GPT)**.
Train **CNNs, Object Detection (YOLO, Faster R-CNN), Face Recognition, Image Segmentation**.
Deploy ML models using **Flask, FastAPI, Docker, Hugging Face, AWS, and Google Cloud**.
