Deep Learning Course

Understand perceptrons, activation functions, backpropagation, and loss optimization.

Build convolutional models for image classification, object detection, and segmentation.

Train RNN, GRU, and LSTM architectures for text, time series, and language generation.

Build, train, and visualize deep learning models using modern frameworks.

Use pretrained models like ResNet, VGG, BERT and fine-tune them on custom datasets.

Train your own YOLO, image captioning, or audio recognition models from scratch.

Use CUDA-enabled training, mixed precision, and reduce model size with quantization.

Get certified and prep for deep learning engineer roles with project & interview support.

Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.

Anyone who wants to get acquainted with machine learning and data science as a software developer.

People who are looking to switch career paths for an AI and machine learning career.

Data analysts who wish to superimpose data science with machine learning into their career.

Line managers who wish to learn more about the opportunities that exists in AI and data science with an application of machine learning for the improvement of their teams.

Future managers willing to deepen their knowledge in the field of AI and machine learning.

Job Assistance: Full support until you secure a role. Real-World Projects: Work on industry-grade use cases. Comprehensive Curriculum: Includes CI/CD pipelines, Docker, MLflow, Ray, and cloud deployment tools like SageMaker and Vertex AI.

Contact us and our academic counsellor will get in touch with you shortly. Enquire Now +91 87087 52385 hello@aicareer.academy