Neural Networks Courses and Certifications

Build Basic Generative Adversarial Networks (GANs)

Explore GANs, from fundamentals to advanced techniques. Build and train models using PyTorch, create images, and evaluate various GAN architectures. Gain practical skills for real-world applications.

• Coursera
• 1 day 5 hours 46 minutes
• Self-Paced
• Paid Course

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

• Coursera
• 5 hours 25 minutes
• Self-Paced
• Paid Course

Career Certificate

Microsoft AI & ML Engineering

Master AI & ML engineering through hands-on practice with Azure cloud services, from infrastructure design to intelligent agent development, culminating in real-world applications and ethical considerations.

• Coursera
• 24 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Generative Adversarial Networks (GANs)

Explore image generation with GANs, from foundational concepts to advanced techniques. Gain hands-on experience using PyTorch, create realistic outputs, and understand social implications like bias and privacy in machine learning.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Finetuning Large Language Models

Learn essential concepts and techniques for finetuning large language models using your own data, enabling you to optimize performance and produce transformative results in natural language processing tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Custom Models, Layers, and Loss Functions with TensorFlow

Explore advanced TensorFlow techniques for building custom models, layers, and loss functions. Learn to create Siamese networks, implement contrastive loss, and extend the TensorFlow Model class to build a ResNet.

• Coursera
• 1 day 6 hours 57 minutes
• Self-Paced
• Paid Course

Gen AI Foundational Models for NLP & Language Understanding

Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.

• Coursera
• 9 hours 57 minutes
• Self-Paced
• Paid Course

Build Better Generative Adversarial Networks (GANs)

Learn to evaluate GANs, identify bias, and implement StyleGAN techniques. Master advanced image generation methods, from foundational concepts to state-of-the-art models using PyTorch.

• Coursera
• 1 day 4 hours 49 minutes
• Self-Paced
• Paid Course

Apply Generative Adversarial Networks (GANs)

Explore GANs for data augmentation, privacy, and image translation. Implement Pix2Pix and CycleGAN models to transform images, from satellite views to map routes and horses to zebras.

• Coursera
• 1 day 1 hour 39 minutes
• Self-Paced
• Paid Course

Deep Learning with PyTorch

Advance your deep learning skills with PyTorch, covering neural networks, convolutional architectures, and advanced techniques through hands-on exercises and a final CNN project.

• Coursera
• 18 hours 33 minutes
• Self-Paced
• Paid Course

Saïd Business School

AI Essentials

Discover how AI transforms business decisions and value creation through machine learning, neural networks, and ethical frameworks for strategic implementation.

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

New York Institute of Finance;  Google Cloud

Reinforcement Learning for Trading Strategies

Explore reinforcement learning for trading strategies, covering neural networks, LSTMs, and AutoML. Learn to build RL-based trading systems and optimize portfolios using advanced machine learning techniques.

• Coursera
• 12 hours 16 minutes
• Self-Paced
• Paid Course

Predictive Analytics

Gain insights into predictive analytics with Python, learning to build models, diagnose performance issues, leverage advanced techniques like neural networks, and integrate data-driven insights into decision-making for digital transformation.

• Coursera
• 1 day 23 hours 19 minutes
• Self-Paced
• Paid Course

Career Certificate

IBM Deep Learning with PyTorch, Keras and Tensorflow

Master deep learning fundamentals and practical implementation using PyTorch, Keras, and TensorFlow through hands-on projects in neural networks, computer vision, and natural language processing.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

How Diffusion Models Work

Gain deep understanding of diffusion models in AI. Build from scratch, explore sampling, training, and personalized image generation. Hands-on labs with Jupyter notebooks expand your generative AI skills.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course