Social And Emotional Learning Courses

Packt

Deep Learning & Modern AI Architectures

Master cutting-edge neural networks, CNNs, RNNs, and Transformers with hands-on projects in TensorFlow, Keras, and PyTorch for real-world AI applications.

• Coursera
• 15 hours 19 minutes
• Self-Paced
• Paid Course

Board Infinity

Deploying Deep Learning: Quantization, Serving, and Edge AI

Master the full deep learning deployment lifecycle — quantize LLMs with AWQ/GPTQ, serve at scale with vLLM and Triton, and deploy on edge devices using ONNX, Llama.cpp, and TensorRT.

• Coursera
• 21 hours
• Self-Paced
• Paid Course

Coursera

Databricks Machine Learning Fundamentals

Master production-grade machine learning on Databricks with hands-on experience in data preparation, MLflow tracking, and model deployment for real-world applications.

• Coursera
• 3 hours 53 minutes
• Self-Paced
• Paid Course

Coursera

Databricks Machine Learning Quickstart

Master rapid ML deployment on Databricks by tracking experiments with MLflow, leveraging AutoML for model selection, and deploying production-grade serving endpoints with performance monitoring.

• Coursera
• 2 hours 59 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning with Keras and Practical Applications

Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.

• Coursera
• 9 hours 44 minutes
• Self-Paced
• Paid Course

Deep Learning Frameworks and Neural Networks Simplified

Master advanced deep learning skills with TensorFlow, Keras, and neural networks. Build cutting-edge AI models, implement RNNs and LSTMs, and develop practical solutions for real-world challenges.

• Coursera
• 5 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning and Advanced Techniques

Master advanced deep learning with ensemble methods, neural networks, and frameworks like TensorFlow, PyTorch, XGBoost for real-world AI applications and model deployment.

• Coursera
• 9 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Computer Vision for Beginners Using PyTorch

Master PyTorch and deep learning for computer vision. Build neural networks, implement CNNs, and apply skills to real-world datasets. Includes optional Python basics and data science libraries.

• Coursera
• 9 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Crash Course 2023

Master deep learning fundamentals and tools. Build neural networks, explore activation functions, and apply TensorFlow 2.x for practical AI projects. Gain hands-on experience in data science and machine learning techniques.

• Coursera
• 14 hours 36 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Recurrent Neural Networks with TensorFlow

Master recurrent neural networks for time series prediction and NLP tasks using TensorFlow. Implement advanced architectures like GRUs and LSTMs for stock forecasting, image classification, and text analysis.

• Coursera
• 5 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning: Build & Optimize Neural Networks

Master neural networks from foundations to advanced applications including computer vision, NLP with transformers, and recommender systems using PyTorch and real-world projects.

• Coursera
• 17 hours 3 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning: Convolutional Neural Networks with TensorFlow

Unlock the potential of deep learning by mastering Convolutional Neural Networks and Transfer Learning with hands-on TensorFlow and Keras experience for image and text classification.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with R: Build & Predict Neural Networks

Master neural network development in R through hands-on data preparation, visualization, regression modeling, and deep learning implementation with practical predictive applications.

• Coursera
• 9 hours 48 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with TensorFlow: Build Neural Networks

Master TensorFlow fundamentals and build neural networks from perceptrons to CNNs, implementing transfer learning for real-world image classification tasks.

• Coursera
• 5 hours 19 minutes
• Self-Paced
• Paid Course

Data Analytics and Machine Learning for Big Data

Master machine learning and AI techniques for big data systems using PySpark ML, PyTorch, and Azure tools to build end-to-end ML pipelines and integrate Generative AI workflows.

• Coursera
• 1 day 4 hours 27 minutes
• Self-Paced
• Paid Course