Your future starts here. Choose the fast-track with our Data Analytics, Data Science or Data Engineering Bootcamps, or deep dive into our 1-Year Data Science & AI Course
Enhance your expertise and pave your career path with this comprehensive 40-week course designed to equip you with in-depth knowledge and practical skills in data science and AI.
MODULE 1
Introduction to Programming and Data Engineering Fundamentals (6 weeks)
Begin your journey with core programming skills and data engineering concepts. Master Python and R, explore data structures, and develop web apps with Streamlit.
MODULE 5
Classic Machine Learning (5 weeks)
Explore traditional machine learning algorithms in supervised and unsupervised learning. Evaluate and validate models using Scikit-learn and delve into model interpretability.
MODULE 2
Advanced Programming and Database Management (7 weeks)
Deepen your programming expertise with advanced SQL and No-SQL databases. Harness full-stack development using Node.js and Angular, and manage projects with Agile methodologies.
MODULE 6
Applied Machine Learning and AI (6 weeks)
Expand into advanced AI with large language models and computer vision. Work with cutting-edge technologies like HuggingFace for NLP and explore ethical AI practices.
MODULE 3
Data Analytics and Preprocessing (6 weeks)
Lay a solid foundation in statistical principles and data preprocessing. Dive into applied linear algebra, probability, and essential data cleaning techniques.
MODULE 7
Machine Learning Operationalization (5 weeks)
Operationalize machine learning models using cloud platforms and deploy them efficiently. Master Docker, Kubernetes, and monitor model performance in production environments.
MODULE 4
Data Visualization and Business Intelligence (6 weeks)
Transform data into actionable insights using advanced visualization techniques and BI tools like Power BI and Tableau. Integrate Angular for dynamic dashboard creation.
CAPSTONE PROJECT
(4.2 weeks)
Operationalize machine learning models using cloud platforms and deploy them efficiently. Master Docker, Kubernetes, and monitor model performance in production environments.
Kickstart with 40 hours of self-paced material to build a solid foundation in data analytics and AI tools like ChatGPT, regardless of your experience.
Machine Learning and Artificial Intelligence (AI)
Explore the essentials of machine learning using the scikit-learn library and dive into AI with topics like NLP and deep learning. Build, train, and evaluate AI models, and prepare for real-world applications. Conclude with a capstone project presented at our Hackshow.
MODULE 1
Python, Data Wrangling, and Retrieval
Dive into Python programming and data manipulation using Pandas. Learn essential skills in data wrangling, cleaning, and advanced concepts like lambda functions.
MODULE 4
(For Full-Time Students Only)
Advanced Applications of Machine Learning
Advance your machine learning expertise into real-world applications with Unsupervised Learning and Deep Learning techniques. Gain hands-on experience with tools like Streamlit for creating user interfaces and Google BigQuery for large-scale data management and analysis.
MODULE 2
SQL, Data Analytics, and Statistics
Master SQL and databases, connecting them with Python. Create dashboards with Tableau and become a data expert for any team.
Kickstart with 40 hours of self-paced material to explore foundational and advanced techniques in AI and data science, suitable for all experience levels.
Foundations and Applications of Machine Learning
Build and enhance your AI models learning fundamental and advanced machine learning techniques. Start with probability and statistics, move to supervised and unsupervised learning, and tackle neural networks and deep learning for complex applications.
MODULE 1
Foundations of Data Science: Python and Data Handling Essentials
Dive into the essentials of data science and Python. Master the art of managing and analyzing data with SQL and uncover patterns with exploratory analysis. Sharpen your statistical methods to interpret complex data insights.
MODULE 3
Advanced Machine Learning and Specialized Tracks
Explore specialized tracks in advanced machine learning. Guide computers through computer vision, enable NLP for understanding human language, and streamline AI project management with MLOps, leveraging platforms like Google Cloud and AWS.
Complete a self-paced pre-work module to build your foundation in Python, SQL, and data handling, alongside Git version control and core cloud concepts. You’ll practice coding, manipulating data with Pandas, running SQL queries, and understanding modern data workflows.
MODULE 3
Cloud & Real-Time Data Engineering
Build and manage warehouses using Snowflake, BigQuery, or Redshift, automate infrastructure with Terraform and Docker, and design cost-efficient multi-cloud solutions. Your project will integrate ETL pipelines, dbt transformations, and BI reporting. Then, you’ll process live data with Kafka and Spark Streaming, manage scaling and fault tolerance, and explore cloud streaming services like Pub/Sub and Kinesis.
MODULE 1
Programming & Data Modeling
Build the essential programming and data architecture skills you’ll need, learning Python for data handling, mastering Pandas and NumPy for transformation, and improving your SQL skills. You’ll dive into data modeling, from designing schemas and databases to understanding how data lakes and warehouses work together.
MODULE 4
Ensuring Data Reliability & Governance
Focus on reliability, transparency, and impact. You’ll test and validate data quality using Great Expectations, track lineage with dbt, and apply governance best practices for privacy and compliance.
MODULE 2
Designing Data Pipelines & Big Data Systems
Start learning about building and automating data pipelines using Airflow and dbt. Schedule transformations, track data lineage, and test workflows end-to-end. Then, you'll move into the world of big data with Apache Spark to process massive datasets efficiently and scale performance. You’ll optimize PySpark transformations, explore lazy execution, and tune performance for distributed workloads. You’ll wrap up by delivering your first full data pipeline that powers real analytics systems.
MODULE 5
Capstone Project
By the end of the Bootcamp, you’ll complete production-grade capstone projects simulating real-world enterprise systems. You’ll design, build, and deploy pipelines that integrate real-time streaming, governance, and analytics visualization.
Support and tools that accelerate your learning at Ironhack
Methodology: Learn by doing
Personalized mentoring and guided learning
AI Support and Feedback
Get instant answers, personalized exercises, and 24/7 AI-powered feedback to accelerate your learning.
Build real projects based on real-world tech scenarios and create a portfolio that proves your skills to employers.
Learn in small groups with expert instructors, receive one-to-one mentoring and continuous feedback from day one.
🚀 Ironhack Plus: Multiply Your Success
With every bootcamp, you get Talent Accelerator Program + industry-recognized certification . We call it Ironhack Plus!
Talent Accelerator Program & guaranteed experience
Industry-Recognized Certification
We include at least one certification in every bootcamp. Prepare to prove your skills with credentials that truly matter. Everything is included in your bootcamp at no extra cost. Your resume will speak for itself.
✔️ Choose the certification that fits your career goals
✔️ We cover the full exam cost
✔️ Stand out in a competitive job market
Our Talent Accelerator Program (TAP) connects you with real startups to apply your skills in real-world projects. TAP helps you confidently make the leap from graduate to tech professional.
✔️ Gain practical experience and build a strong portfolio
✔️ Collaborate on real projects with inspiring startups
✔️ Earn a referral letter to land your first job
What our students say
"Ironhack shaped both my skills and my career toward success"
"Ironhack exceeded all my expectations"
"From Business to Data: Ironhack made it possible"
Ironhack not only taught me how to code, but also developed my personal and interpersonal skills. The experience transformed the way I solve problems and work in teams, helping me transition from Business Administration to a successful career as a Web Developer.
The rigorous curriculum and Ironhack’s high standards pushed me to achieve more than I ever imagined. It was a life-changing experience that set me on the path to my career as an AI Engineer.
I chose Ironhack as pioneers in data education. Their advanced program gave me the skills to transition from a business profile to an exciting role as a Data Analyst, opening new doors in my career.
Join Ironhack’s global tech network and boost your career
70+
20k+
Nationalities represented
Graduated students
Flexible payment plans to fund your training
On average, 70% of our students use financing solutions to make payments more manageable, so you're in great company. Get expert advice on the best option for you.
It’s a voucher from the Agentur für Arbeit or Jobcenter that can cover up to 100% of your bootcamp tuition, helping you re-enter the job market if you’re eligible.
Who is eligible?
Are a German resident needing skills to boost job prospects.
Are registered as unemployed or facing imminent unemployment.
Are not enrolled in a German university program.
BCAS is an Income Share Agreement (ISA) that lets you study now and pay later by sharing a fixed percentage of your income only after landing a job.
Who is eligible?
You’re eligible if you’re a German resident with a work permit.
You want to join an Ironhack bootcamp and complete the ISA application.
Final approval and voucher issuance depend on meeting requirements and the decision of your local caseworker at the Federal Employment Agency.
Are you ready for a change?
Graduates of our bootcamps quickly find jobs at leading tech companies like these:
