Artificial Intelligence

Ironhack Spain (ISA)

Ironhack ES

Carlos Fenollosa

Pablo Molina Candel

Omar Pera Mira

Alberto González-Calero

In this comprehensive bootcamp, you'll dive into the world of AI, learning to integrate models like ChatGPT to create your own chatbot. You'll explore essential AI libraries, data manipulation techniques, and advanced prompt engineering. With a focus on practical skills, you'll be ready to tackle real-world AI challenges and advance your career.

Artificial Intelligence Developer

Learn the basics of Python programming, including object-oriented principles and software engineering best practices.

Python Fundamentals

Understand the cultural and ethical considerations of AI, preparing you for responsible AI development.

AI Culture and Mindset

Explore various applications of AI across different industries and how they solve real-world problems.

AI Use Cases

Dive into essential AI libraries like TensorFlow and PyTorch, and gain key data handling skills using SQL.

Python and AI Engineering Essentials

Gain foundational knowledge in natural language processing and machine learning, and learn advanced prompt engineering techniques.

NLP, Machine Learning, and Prompt Creation

Build your own chatbot and explore the open-source LLM ecosystem, learning to choose and deploy models effectively.

Advanced Chatbot Development and LLM Integration

This bootcamp prepares you for a career in AI development, equipping you with essential skills in Python, machine learning, and natural language processing. Gain hands-on experience and graduate with a portfolio of real-world projects, ready to launch your tech career.

Individuals looking to start a career in AI engineering and development.

Aspiring AI Engineers

People interested in learning about AI technologies and their applications.

Tech Enthusiasts

Professionals seeking to transition into the tech industry with a focus on AI.

Career Changers

Test Agreement

Rocketseat

Daniel Sória

In this course, you will explore the fundamentals and advanced techniques of AI, utilizing tools such as Watson Assistant, Dialog Flow, and GPT. The course is designed to provide hands-on experience through professional projects, enabling you to tackle real-world challenges and build a standout portfolio. With personalized support and mentorship, you'll gain the skills needed to excel in the tech industry.

AI Training for Developers

17 lessons and 1 activity covering the basics of AI.

Introduction to AI

32 lessons and 1 activity focused on creating chatbots using AI tools.

Developing Chatbots

53 lessons on optimizing large language models with Retrieval-Augmented Generation.

Optimizing LLMs with RAG

20 lessons on fine-tuning techniques for large language models.

Optimizing LLMs with Fine Tuning

24 lessons on developing and deploying AI agents.

AI Agents

5 lessons and 1 activity on crafting effective prompts for AI models.

Prompt Engineering

This AI Training for Developers course offers a comprehensive journey from basic AI concepts to advanced techniques. Learn to use tools like Watson Assistant and GPT to create innovative solutions, enhance productivity, and automate tasks. Enroll now to gain professional projects for your portfolio and receive a market-validated certificate.

Develop foundational skills in AI to enhance productivity and automate tasks.

Junior Developers

Expand your knowledge with advanced AI techniques and tools for creating innovative solutions.

Intermediate Developers

Master AI technologies used in big techs to unlock new career opportunities.

Senior Developers

Nuclio Learning

Javier Martí Isasi

Dive deep into the mechanics and mathematics of neural networks, mastering architectures from multilayer perceptrons to convolutional and recurrent networks. Learn to tackle complex problems using advanced deep learning techniques, preparing you for future roles in AI and deep learning.

Expert in Deep Learning: From Fundamentals to Advanced Applications in Computer Vision and Natural Language Processing

Covers the basics of artificial intelligence, machine learning models, and introduces deep learning concepts.

Module 1 - Introduction

Explores neural networks, training processes, and data preprocessing with practical exercises.

Module 2 - Fundamentals of Deep Learning

Focuses on convolutional neural networks and techniques like data augmentation and transfer learning.

Module 3 - Computer Vision

Delves into text encoding, recurrent networks, and transformers with practical applications.

Module 4 - Natural Language Processing and Time Series

Covers advanced deep learning techniques and applications in computer vision.

Module 5 - Advanced Techniques

This course offers a comprehensive journey into the world of deep learning, covering both foundational and advanced topics. Gain dual certification from Nuclio Digital School and Universidad EUNEIZ, and enhance your employability in the AI sector.

Professionals looking to enhance their skills in neural networks and deep learning for real-world AI applications.

Software Developers

Individuals aiming to apply deep learning techniques in industries like automotive, healthcare, and finance.

Data Scientists

Leaders interested in understanding AI to manage projects and teams effectively.

Technical Managers

Evolve Academy Test

Evolve Academy

Yuba González

Carlos Castillo

In this comprehensive master's program, you will learn to investigate cybersecurity incidents, conduct thorough audits, protect various systems, and execute penetration tests. The course covers essential topics such as ethical hacking, network security, vulnerability assessment, and incident response. With a mix of theoretical knowledge and practical experience, you will be well-prepared to tackle real-world cybersecurity challenges and advance your career in this dynamic field.

Cybersecurity and Artificial Intelligence

Learn the basics of cybersecurity and familiarize yourself with operating systems like Linux and Windows, laying the foundation for the course.

Pre work

Gain a fundamental understanding of the ethics and legality in hacking, as well as initial methodologies and tools like OSINT and Google dorking for ethical hacking.

Basic Concepts of Hacking

Explore public and private networks, VPN usage, port configuration, services, and versions, and learn to use tools like Nmap for network scanning and analysis.

Network and Protocol Fundamentals

Dive into advanced techniques for scanning vulnerabilities and enumerating services and systems, analyzing results to prioritize vulnerabilities and plan subsequent actions.

Recognition and Enumeration

Develop skills to identify and exploit vulnerabilities in Windows and Linux systems, understanding the lifecycle of a vulnerability from discovery to remediation.

Exploitation of Vulnerabilities

Learn techniques to maintain access to compromised systems, collect information and data, perform lateral movements, and hide your tracks to maintain persistence in the system.

Post-Exploitation

Familiarize yourself with Metasploit, including its installation, configuration, and the use of different exploitation modules, payloads, and encoders, integrating it with other tools for maximum effectiveness.

Metasploit

Acquire techniques to move laterally within a compromised network and perform pivoting, both manually and using Metasploit and other advanced tools.

Pivoting

Develop skills to document your findings and create effective penetration test reports, as well as defense techniques to protect against attacks based on discovered vulnerabilities.

Reporting and Defense

Apply everything you have learned in a comprehensive practical project, presenting and defending your work, and simulating an eJPT exam to assess your knowledge and skills in ethical hacking.

Final Project

This master's program in Cybersecurity and Artificial Intelligence will equip you with the skills to investigate incidents, conduct audits, protect systems, and perform penetration tests through real-world projects. Enroll now to become an expert in a high-demand field.

Individuals working in IT who want to specialize in cybersecurity and artificial intelligence.

IT Professionals

Graduates looking to enter the field of cybersecurity and artificial intelligence.

Recent Graduates

Professionals from other fields looking to transition into cybersecurity and artificial intelligence.

Maven

Over four weeks, this online program offers a personalized, interactive learning experience. You'll gain access to step-by-step tutorials, work on real-world projects, and develop skills to integrate AI tools into your daily tasks. The program includes engaging quizzes, a Sandbox for practice, and a personal Coach to guide you.

Practical Skills for Non-Technical Teams AI Competency

Learn how to effectively use large language models (LLMs) through foundational techniques in prompt engineering, practical use cases, and ethical considerations. Includes 7 units, 1 live session, and quizzes.

LLMs & Prompt Engineering Basics

Explore a variety of GenAI tools, from text and image generators to video and audio synthesis, and discover how to implement them in your workflows.

GenAI Tools Exploration

Gain the skills to integrate AI tools like GPTs into your daily tasks, automate workflows, and build custom solutions for better efficiency.

GPTs & Using AI in Your Workflow

Put all learnings together and take a personalized assessment to prove you can use AI in your work.

Wrap Up & Program Assessment

This program is designed for non-technical professionals to master practical AI skills without the complexity. Through a no-code, hands-on approach, you'll learn to leverage AI tools for productivity, automate tasks, and enhance decision-making.

Designed for non-technical professionals who want to integrate AI into their daily work.

Non-technical professionals

Empower your team by integrating AI tools that improve decision-making, reduce costs, and boost efficiency.

Teams looking to enhance productivity

Develop practical AI skills that can immediately boost your efficiency and problem-solving abilities.

Individuals seeking practical AI skills

Dive deep into the mechanics and mathematics of neural networks, mastering key architectures from multilayer perceptrons to convolutional and recurrent networks. Learn to solve complex problems using advanced deep learning techniques, preparing you for future roles in AI and deep learning.

Introduction to Artificial Intelligence, machine learning models, supervised and unsupervised learning, reinforcement learning, and deep learning models.

Covers neural networks, architectures, training processes, hyperparameters, data preprocessing, and optimization techniques.

Focuses on convolutional neural networks, convolution operations, data augmentation, transfer learning, and practical applications.

Explores text encoding, recurrent neural networks, LSTM, transformers, and practical applications in text classification and generation.

Advanced deep learning techniques, including hyperparameter optimization, experiment tracking, object detection, and image generation.

This course offers a comprehensive journey into the world of deep learning, covering both foundational and advanced topics. Gain dual certification from Nuclio Digital School and Universidad EUNEIZ, and equip yourself with the skills to tackle real-world AI challenges.

Professionals looking to enhance their skills in neural networks and deep learning for real-world applications.

Individuals working in industries like automotive, healthcare, or finance where deep learning is creating new opportunities.

Data Engineers and Data Scientists

Professionals interested in AI and looking to lead projects involving deep learning technologies.

Project Leaders and Technical Managers

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