Description
Full Stack AI Engineer 2026 – Deep Learning – II is a course on how to design, build, and deploy complex AI systems using deep learning techniques, published by Udemy Online Academy. You’ll expand your understanding of neural networks, convolutional and recurrent architectures, transformers, and optimization methods, then apply these concepts to real-world projects that combine deep learning backends with scalable APIs and interactive front-end user interfaces. The course covers practical skills such as training and fine-tuning deep models, managing large datasets, evaluating model performance, and integrating AI components into production-ready applications. Along the way, you’ll learn best practices for debugging, version control, cloud deployment, model monitoring, and performance optimization to ensure your systems are robust and efficient.
You’ll start by building a strong conceptual foundation in neural networks, understanding how artificial neurons, feedforward, activation functions, and loss functions work to enable learning. Instead of memorizing formulas, you’ll build intuition through visual explanations and code-based demonstrations. You’ll understand why models fail, how overfitting occurs, and how regularization techniques like L1/L2 penalties, dropout, and batch normalization can be applied to improve generalization. By the end of the course, you won’t just “know deep learning” – you’ll think and work like a deep learning engineer, capable of building scalable, repeatable, and production-ready AI systems.
What you will learn in Full Stack AI Engineer 2026 – Deep Learning – II:
- Building deep learning models from scratch using PyTorch with a strong engineering foundation
- Building deep learning models from scratch using PyTorch with a strong engineering foundation
- Understanding and effectively applying neural networks, backpropagation, and optimization
- Training, evaluating, and improving models using regularization and generalization techniques
- And…
Course specifications
Publisher: Udemy
Instructors: Data Science Academy and School of AI
Language: English
Level: Intermediate
Number of Lessons:
Duration: 6 hours and 6 minutes
Course topics on 2026/2
Full Stack AI Engineer 2026 – Deep Learning – II Prerequisites
Build CNNs and sequence models for real-world vision and time-series tasks.
Build CNNs and sequence models for real-world vision and time-series tasks.
Apply CNNs and sequence models to solve real image and time-series problems end-to-end.
Create computer vision and time-series solutions using CNNs and sequence networks.
Pictures
Full Stack AI Engineer 2026 – Deep Learning – II introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.3 GB
