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Artificial Intelligence
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Ironhack ES

Artificial Intelligence

  • Beginner

This Artificial Intelligence bootcamp prepares you for a career in AI development. Gain hands-on experience with AI models, learn key data handling skills, and build a portfolio of projects. Benefit from industry-focused career support and become job-ready in as little as 9 weeks.

  • Python Programming
  • AI and Machine Learning Libraries
  • Natural Language Processing
  • Data Handling
  • AI Ethics

Overview

In this comprehensive AI bootcamp, you'll learn to integrate AI models like ChatGPT, develop chatbots, and understand AI ethics and use cases. The curriculum covers Python programming, machine learning libraries, and advanced prompting techniques. With real-time support and a focus on practical skills, you'll be equipped to tackle real-world AI challenges and advance your career.

  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion

Who is this course for?

Aspiring AI Developers

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

Career Changers

Professionals seeking to transition into the AI industry with no prior tech experience.

Tech Enthusiasts

People interested in learning about AI and its applications in various industries.

This bootcamp offers a fast track to becoming an AI developer, covering essential skills like Python, machine learning, and NLP. Ideal for beginners and career changers, it provides real-world projects and career support to help you succeed in the AI industry.

Pre-Requisites

1 / 3

  • Basic understanding of programming concepts

  • Interest in AI and machine learning

  • Willingness to learn and adapt

What will you learn?

Prework
40 hours of essential training to get bootcamp-ready, covering Python fundamentals, AI culture, mindset, ethics, and use cases.
Python and AI Engineering Essentials
Focus on Python programming, core programming concepts, object-oriented principles, and software engineering best practices. Explore AI and machine learning libraries like TensorFlow and PyTorch, and acquire data handling skills through SQL.
NLP, Machine Learning, and Prompting Foundations
Dive into Natural Language Processing, text analysis, and machine learning basics. Learn advanced prompt engineering techniques and explore augmenting LLMs with external information sources.
Advanced Chatbot Development and Open-source LLM Integration
Build your own chatbot, explore conversational AI features, and address challenges with Large Language Models. Understand the open-source LLM ecosystem, model selection, and deployment. Develop critical thinking, teamwork, and communication skills.

Meet your instructors

  • Carlos Fenollosa

    Profesor, Universitat Politècnica de Catalunya

    Carlos Fenollosa es profesor universitario de Inteligencia Artificial y emprendedor en este campo. Como profesor en la Universitat Politècnica de Catalunya, imparte la asignatura de Inteligencia Artificial.

  • Pablo Molina Candel

    Instructor, Ironhack ES

    Pablo Molina Candel is an instructor at Ironhack ES, a bootcamp for web developers and UX/UI designers.

  • Omar Pera Mira

    Chief Product Officer (CPO), Freepik

    Omar Pera Mira is a seasoned entrepreneur and engineer with experience leading product development at Freepik. He previously founded two successful startups, Reply.ai and Kustomer, which were acquired by Kustomer and Meta respectively.

  • Alberto González-Calero

    VP of Data, Cabify

    Alberto González-Calero is a technical manager with over 14 years of experience managing startups and large organizations. He currently serves as the VP of Data at Cabify, focusing on leveraging data tools to gain a significant competitive advantage for the company.

New cohorts coming soon