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Artificial Intelligence
Artificial Intelligence
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Nuclio Learning

Deep Learning: Advanced Applications in Computer Vision

  • Intermediate

Conquer the future with solid knowledge in Neural Networks and Deep Learning, ready to make an impact in the real world of artificial intelligence. This certification from Nuclio Digital School will prepare you to tackle real-world problems in key areas such as Computer Vision and Natural Language Processing.

  • Neural Networks
  • Deep Learning Architectures
  • Computer Vision
  • Natural Language Processing
  • Time Series Analysis

Overview

This course provides a comprehensive understanding of Neural Networks and Deep Learning fundamentals, from basic to advanced techniques. You will learn to confidently address real-world problems in Computer Vision and Natural Language Processing, staying updated with the latest trends and cutting-edge architectures.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

Software Developers

Software developers interested in specializing in AI and Deep Learning.

Data Engineers and Data Scientists

Data professionals looking to enhance their skills in neural networks and Deep Learning.

Industry Professionals

Professionals from industries such as automotive, healthcare, or finance where DL is creating new opportunities.

Why should you take this course?

Artificial Intelligence

Javier Martí Isasi

Data Scientist

By enrolling in this course, you will gain a deep understanding of Neural Networks and Deep Learning, enabling you to solve complex problems and prepare for the future of work in AI. The course covers essential topics such as Computer Vision and Natural Language Processing, making it ideal for professionals and enthusiasts eager to advance their careers in AI.

Pre-Requisites

1 / 3

  • Solid knowledge in programming and algorithms.

  • Basic understanding of machine learning concepts.

  • Familiarity with data structures and computational models.

What will you learn?

Module 1 - Introduction
Introduction to Artificial Intelligence, Machine Learning models, supervised and unsupervised learning, reinforcement learning, and Deep Learning models.
Module 2 - Fundamentals of Deep Learning
Neural networks and architectures, training issues, data preprocessing, activation and loss functions, and neural network optimization.
Module 3 - Artificial Vision
Deep Vision introduction, convolutional neural networks, tensor operations, convolution, padding, striding, pooling, and advanced techniques.
Module 4 - Natural Language Processing and Time Series
Introduction to NLP and time series, text encoding, architectures, recurrent neural networks, LSTM, Transformers, and Hugging Face.
Module 5 - Advanced Techniques
Advanced techniques in Deep Learning and Computer Vision, recommended bibliography and resources.

Meet your instructor

  • Javier Martí Isasi

    Instructor, Nuclio Learning

    Javier Martí Isasi has been a software engineering professional for over 15 years. He has extensive experience in design, development, implementation, and migration of complex and distributed systems on various platforms

Upcoming cohorts

  • Dates

    start now

Frequently Asked Questions

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How does Mydra vet top courses?
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€690