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Specialisation in Artificial Intelligence

Live online classes

October 2025

3 months

Prior knowledge is required

We prepare you for certification

Study plan

Advanced AI I: Machine Learning

Once the techniques to start working with Machine Learning are established, this module will allow us to go deeper into more complex algorithms and scenarios, but it will also teach us advanced techniques to optimise our models and face problems when the data does not help us much in its natural state.

  • Advanced Algorithms
    • Support Vector Machines (SVM)
    • Stochastic Gradient Descent
    • Ensemble algorithms: AdaBoost, XGBoost, among others.
  • Model Optimisation
    • Hyperparameter setting
    • Selection of characteristics
    • Regularisation
    • Cross-validation
  • Time Series Analysis
    • Introduction to time series analysis
    • Modelling and trends
    • ARIMA and SARIMA models
  • Networks
    • Fundamental concepts of graphs
    • Learning graph representations
    • Classification and prediction of links
  • Reinforcement Learning
    • Concept of reinforcement learning
    • States, actions and rewards
    • Reinforcement learning algorithms
  • Anomaly Detection and Learning from Unbalanced Data
  • Identifying outliers using statistical methods, clustering and supervised learning
  • Techniques for handling unbalanced data, such as additional data collection, synthetic generation and modification of algorithms
Advanced AI II: Deep Learning

The Deep Learning module is the next level in machine learning, where you'll explore deep neural networks and advanced architectures for tackling complex problems. Discover how these revolutionary techniques have transformed the field, enabling the analysis of more complex data and solving challenges in computer vision, natural language processing and more.

  • Introduction to Deep Learning
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Natural Language Processing (NLP)
  • Generative Adversarial Networks (GAN)
Generative AI

The module on Generative Artificial Intelligence (Generative AI) provides students with an in-depth understanding of technologies that enable the creation of original content from existing data. The aim is to provide both theoretical knowledge and practical experience to implement generative models in different fields.

  • Generative AI Fundamentals
  • Development and Coding with Generative AI
  • Practical Applications of Generative AI
  • Ethics and Responsibility in Generative AI
  • Generative AI in Digital Transformation
Capstone Project Presentation

Presentation of the final project before a panel of experts.

*The academic program may be subject to changes in line with the changing demand for specific skills in the market. Your employability is our goal.Download the brochure here
ElizaCareer opportunities

Machine Learning Specialist : Artificial Intelligence Consultant : Generative AI Developer

Certifications
Critical Career Skills Generative AI Foundations
Microsoft Certified: Azure AI Fundamentals AI-900
IMMUNE Technology Institute - Specialisation in Artificial Intelligence

Certification training

With this programme you will acquire the necessary skills to work in a professional environment. In order for you to be able to demonstrate this, IMMUNE prepares you to be certified in:

Critical Career Skills Generative AI Foundations

Microsoft Certified: Azure AI Fundamentals AI-900

Specialisation in Artificial Intelligence

This specialisation programme delves into the most advanced techniques and models of modern artificial intelligence, including advanced machine learning, deep learning, generative artificial intelligence and their practical application in various sectors. It is designed to prepare professionals in the design, development and deployment of intelligent and autonomous solutions, with a special focus on ethics, optimisation and technological innovation.

Prerequisites
  • Successful completion of the Master in Data Science Online or the IMMUNE Data Analytics Bootcamp.

Ó

  • Background in Data Science and Programming: Familiarity with Python, libraries such as NumPy, Pandas and scikit-learn, as well as practical experience with supervised and unsupervised models.
  • Professional or Academic Data Experience: Minimum 1-2 years' experience in data analysis, modelling or development of data-driven technology solutions.
  • Fundamentals of Machine Learning: Basic knowledge of machine learning algorithms, model validation and data processing.
Program aims

To enable students to:

  • Master advanced machine learning algorithms, model optimisation techniques and time series analysis.
  • Implement deep neural networks (CNNs, RNNs, GANs) and natural language processing applications.
  • Design solutions using generative artificial intelligence (Generative AI), integrating cutting-edge tools such as transformers, langchain and cloud services.
Career Readiness

The comprehensive training we deliver to our students thoroughly prepares them for the employment market. Through a personalized syllabus, we help them develop professional skills, establish relationships with companies and sail through recruitment processes.

An alternative training

In all our content, we include a percentage of Human Sciences to connect technology with soft skills.

Learning By Doing Methodology

It focuses on the practical application of knowledge and skills to foster meaningful and lasting learning.

Learning paths

With IDEIA, we design customized learning paths, tailored to your experience and goals. This ensures efficient progress, focused on what you truly need.

Our learning paths guide you from beginner level to becoming an expert in your chosen field. They are structured yet flexible routes, paced to suit you, so you can reach your full personal and professional potential.

Learning paths

Admission test

This questionnaire will allow us to get to know your profile in depth and ensure that this course is perfectly suited to your level of knowledge and expectations, guaranteeing that you get the most out of our program.

Why should you take the test?
  • To assess your prior knowledge.
  • To ensure that this course is the right fit for you.
  • To offer you a personalized and unique learning experience.
How does it work?

The test is completely online, requires no prior preparation, and will take no more than 25 minutes.

Take the test

Financing

Full payment

If you pay in one instalment you will benefit from a 20% discount.

12 interest-free instalments

Sequra

Sequra

Pay in installments, even if you are unemployed and cannot guarantee the loan.

Sequra

Quotanda

Pay in installments, even if you are unemployed and cannot guarantee the loan.

Quotanda

Fundae

Pay for your training through the Spanish Employment Training Foundation. Aimed at active workers who wish to finance their program through the subsidized training program.

Fundae

FAQs

What certification or qualification will I receive on completion of the course?

Once you complete and pass the programme you will receive a diploma issued by IMMUNE Technology Institute in a digital format verifiable through blockchain technology.

Is this programme for me?

Do you want to level up?

Do you want to stay in your field or sector, but you want to continue learning and explore new challenges? It's time to give your professional profile a boost and align it with the latest trends in technology.

Are you finishing your degree, and you want an upgrade in technology?

We love your profile, because you dare to dream. And in the professional world, fortune favors the bold. If you are an entrepreneur or freelancer, this program will help take your professional projects to the next level.

Want to change your professional career?

If you want your career to take a new direction and enter the world of tech with a bang, the program will help you specialize and shape your professional profile.

Are you an entrepreneur or freelancer?

This program will put you in the spotlight, as technology is the engine of innovation and the key to staying competitive in a constantly evolving market.

What are the admission requirements?

It is not necessary to demonstrate any prior training for admission, only to go through the admission process consisting of an evaluation of your resume and a personal interview with our admissions team.

Will the tools I need be included in the price of the program?

The tools used throughout the program are licensed for free use, in some cases because we use educational licenses and in others because it is free software.

Is there a careers and employment guidance service?

We have an employability area which, through our Talent Hub program, is responsible for supporting the efforts of our students to enter the employment market. The services we offer include resources to help you search for and prepare for interviews, English tests, resume and/or Linkedin profile guidance, interview and elevator pitch training, and access to our exclusive internship and employment pool.

What are the requirements for my computer?

You will need to have access to a laptop with a camera, microphone and minimum requirements of 8 GB of RAM and an i5 processor.

What is the Capstone Project?

The final project is where everything you have learned throughout the program is applied and consolidated. You will present the project to a panel of professionals from companies in the sector, which represents a unique opportunity for students to demonstrate their knowledge to potential employers and also to network.

Can the course be delivered online?

Yes, the program is delivered online with live classes. As such, you will be in direct contact and under the supervision of the teachers, which will enable you to follow the classes and interact in a flexible and natural way.

Are there grants or scholarships available?

Yes, there are scholarships or study grants as well as financing options depending on students’ circumstances. Check out our scholarship and financing options.

Admissions Process

Our students are characterized by their passion for technology. Our admissions process focuses on who you are, how you think, what you have accomplished, and then sharing your goals.

Our aim is to get to know you better, see what makes you unique and ensure that the IMMUNE educational model adapts to your profile.

1. Application

3. Academic committee

4. Enrollment

2. Personal interview

Request information

Visit our Campus in Madrid and discover everything about our programmes

  • Personalised guidance Monday to Friday.
  • Intake now open for March, September and October.

Designed to replicate an ecosystem of start-ups and tech companies, we’ve created a slice of Silicon Valley in the heart of Madrid.

Find out more
+2000m²
Paseo de la Castellana, 89
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