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SDA / Courses / AI engineering

AI Engineer: master the future of technology

Secure a high-demand, future-proof career by mastering AI engineering skills. Join our expert-led course and become a leader in the tech industry

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Unlock a world of opportunities with AI Engineering

In a world increasingly driven by artificial intelligence, AI engineering skills are more valuable than ever. Estonia’s thriving tech industry and commitment to digital innovation make it the perfect place to launch your AI career. By mastering AI, you’ll open doors to high-paying, stable job opportunities that are in constant demand.

Start your AI Engineering career today

  • date
    14.12
    mode
    weekends
    location
    remote
    hours
    663 h
    price
    PROMO!
    apply now close modal
    up to -30%

    Our AI Engineer course is structured to provide you with a thorough understanding of AI technologies, from programming basics to deep learning models. You will:

    Build a strong foundation in programming

    You’ll start your journey by mastering the fundamentals of Python, a versatile and widely-used programming language in the field of AI.

    This section of the course will cover essential programming concepts such as variables, data types, loops, and functions. By building a solid foundation in these basics, you’ll be well-prepared to approach more complex AI topics with confidence. This foundational knowledge is crucial for anyone looking to excel in AI and other tech-related roles.

    Master data processing and analysis

    Next, you’ll dive deep into the world of data processing and analysis, an essential skill set for any AI Engineer. You’ll learn how to work with large datasets, utilizing tools and techniques to clean, manipulate, and analyze data effectively.

    This section will empower you to extract meaningful insights from raw data, which is a key component in developing accurate and reliable AI models. Understanding data processing and analysis is critical for making informed, data-driven decisions in any AI project.

    Explore advanced AI techniques

    As you advance through the course, you’ll explore more sophisticated AI techniques, including machine learning and deep learning. You’ll learn how to build AI models that can learn from data, make predictions, and adapt to new information.

    This part of the course will introduce you to the powerful frameworks and tools used in the industry, helping you create AI solutions that are cutting-edge and relevant. By mastering these advanced techniques, you’ll be prepared to tackle some of the most challenging and rewarding problems in AI.

    Manage and deploy AI solutions

    Finally, the course will guide you through the entire lifecycle of an AI project, from initial concept to deployment. You’ll learn how to manage AI/ML pipelines, ensuring that your models are not only effective but also scalable and ready for real-world applications.

    This section will cover best practices for deploying AI models, including the use of containerization and continuous integration tools. By the end of the course, you’ll be equipped with the knowledge and skills needed to deploy AI solutions that drive innovation and deliver tangible results in any organization.



    Why SDA?

    We are experienced architects of success. We have helped 20,000 people expand their competences. We can help you too.

    We are specialists when it comes to successful projects. Over 10 years, we have created more than 20 courses covering a variety of disciplines. Your course will be based on the solid foundation of our many years of international experience.

    We know education. Our courses are thoughtful, practical and develop the skills currently required in the job market. With us, you will acquire the competences of the future.

    Don’t wait to start building your future

    Take advantage of our limited-time offer! Enroll in the AI Engineer course today and get up to 30% off. Don’t miss out—use code ‘SUMMER30’ at checkout. Limited spots available!

    fill out the form

    What will change when you finish the course

    1. You will think like an AI Engineer

      After completing this course, your approach to problem-solving will evolve to be more analytical and innovative. You’ll learn to break down complex problems into manageable tasks and apply AI techniques to find effective solutions. This mindset will not only help you in tackling complex AI challenges but will also give you the confidence to innovate and push the boundaries in any technical role. You’ll be able to look at data and algorithms with a critical eye, always searching for the most efficient and effective way to achieve your goals.

    2. Your value on the job market will increase

      With AI skills in high demand across Estonia and globally, completing this course will significantly boost your employability. Companies are actively seeking professionals who can navigate the complexities of AI development, machine learning, and data science. By adding these skills to your portfolio, you’ll position yourself as a top candidate for these high-demand roles, giving you a competitive edge in the job market. You’ll be well-prepared to step into roles that are not only challenging but also offer substantial career growth and financial rewards.

    3. You will be able to develop complex projects

      The comprehensive knowledge and hands-on experience you gain from this course will equip you to take on complex AI projects with confidence. You’ll be able to develop AI models from scratch, optimize them for performance, and deploy them into real-world applications. Whether you’re working on AI-driven products, automating business processes, or analyzing large datasets, your ability to drive innovation and create value will be enhanced. These skills will make you an invaluable asset to any organization, empowering you to lead projects that push technological boundaries and drive success.

    Get your spot today

    • date
      14.12
      mode
      weekends
      location
      remote
      hours
      663 h
      price
      PROMO!
      apply now close modal
      up to -30%

      Payment options

      Tuition fees must be paid by the start date. If payment is by instalments, payment will be made according to the agreed schedule. Unemployment Insurance Fund (Töötukassa) will pay for Unemployment Training Card holders. Tuition fee refunds and arrangements for withdrawal are agreed in the training contract.

      For more information, please contact our customer adviser!

      Total cost: from $57/month

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      ● Financing amount 100 – 10 000 €
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      Ready to Get Started?

      Take advantage of our limited-time offer! Enroll in the AI Engineer course today and get up to 30% off. Don’t miss out—use code ‘SUMMER30’ at checkout. Limited spots available!

      fill out the form

      What awaits you during the course?

      Click on the numbers and find out:

      Getting Started with Python and AI
      12345678910

      Getting Started with Python and AI

      Begin your journey by getting familiar with the essentials of programming and AI. You’ll learn about the history of AI, install the necessary tools, and get started with Python programming. This introductory module sets the stage for the advanced topics to come.

      Programming Basics in Python

      Lay the groundwork with Python, one of the most essential programming languages in AI. You’ll master the basics such as data types, control flow, and functions, building a strong foundation for more advanced topics. This module sets you up for success as you move forward in your AI journey.

      Data Processing and AI/ML Models in Sklearn

      Explore the power of data processing with tools like Pandas and NumPy. Learn how to manipulate and analyze data efficiently, then build foundational AI and machine learning models using Sklearn. This module is all about transforming raw data into actionable insights.

      Deep Learning with Keras, TensorFlow, and PyTorch

      Dive into deep learning, where you’ll work with leading frameworks like Keras, TensorFlow, and PyTorch. Develop and optimize AI models that can solve complex problems, from image recognition to natural language processing. This module will equip you with cutting-edge AI skills.

      Managing AI/ML Pipelines and Deploying Systems

      Master the lifecycle of AI projects from development to deployment. Learn to manage AI/ML pipelines, package models for production, and deploy them using Docker and CI/CD practices. This module ensures you’re ready to bring AI solutions to real-world applications effectively.

      Advanced Data Analysis and Visualization

      Enhance your data analysis skills by learning advanced techniques for data manipulation and visualization. You’ll use libraries like Matplotlib and Seaborn to create compelling visual representations of data that help in making informed decisions.

      Classical AI/ML Models

      Go deeper into the fundamentals of AI and machine learning. This module covers classical AI models, including supervised and unsupervised learning techniques, and provides practical experience in building these models with Python.

      Custom Model Building and Optimization

      Learn how to build custom AI models from scratch and optimize them for better performance. This module focuses on using Keras, TensorFlow, and PyTorch to create, test, and refine models that meet specific needs.

      Production Code and Continuous Integration

      Prepare your AI models for real-world deployment. This module covers writing production-ready Python code, continuous integration, and deployment practices. You’ll also learn about packaging models and deploying them using containerization tools like Docker.

      Capstone Project

      Put all your skills to the test with a comprehensive capstone project. You’ll design, develop, and deploy an AI solution that addresses a real-world problem, showcasing your ability to manage an AI project from start to finish.

      Getting Started with Python and AI

      Begin your journey by getting familiar with the essentials of programming and AI. You’ll learn about the history of AI, install the necessary tools, and get started with Python programming. This introductory module sets the stage for the advanced topics to come.

      Programming Basics in Python

      Lay the groundwork with Python, one of the most essential programming languages in AI. You’ll master the basics such as data types, control flow, and functions, building a strong foundation for more advanced topics. This module sets you up for success as you move forward in your AI journey.

      Data Processing and AI/ML Models in Sklearn

      Explore the power of data processing with tools like Pandas and NumPy. Learn how to manipulate and analyze data efficiently, then build foundational AI and machine learning models using Sklearn. This module is all about transforming raw data into actionable insights.

      Deep Learning with Keras, TensorFlow, and PyTorch

      Dive into deep learning, where you’ll work with leading frameworks like Keras, TensorFlow, and PyTorch. Develop and optimize AI models that can solve complex problems, from image recognition to natural language processing. This module will equip you with cutting-edge AI skills.

      Managing AI/ML Pipelines and Deploying Systems

      Master the lifecycle of AI projects from development to deployment. Learn to manage AI/ML pipelines, package models for production, and deploy them using Docker and CI/CD practices. This module ensures you’re ready to bring AI solutions to real-world applications effectively.

      Advanced Data Analysis and Visualization

      Enhance your data analysis skills by learning advanced techniques for data manipulation and visualization. You’ll use libraries like Matplotlib and Seaborn to create compelling visual representations of data that help in making informed decisions.

      Classical AI/ML Models

      Go deeper into the fundamentals of AI and machine learning. This module covers classical AI models, including supervised and unsupervised learning techniques, and provides practical experience in building these models with Python.

      Custom Model Building and Optimization

      Learn how to build custom AI models from scratch and optimize them for better performance. This module focuses on using Keras, TensorFlow, and PyTorch to create, test, and refine models that meet specific needs.

      Production Code and Continuous Integration

      Prepare your AI models for real-world deployment. This module covers writing production-ready Python code, continuous integration, and deployment practices. You’ll also learn about packaging models and deploying them using containerization tools like Docker.

      Capstone Project

      Put all your skills to the test with a comprehensive capstone project. You’ll design, develop, and deploy an AI solution that addresses a real-world problem, showcasing your ability to manage an AI project from start to finish.

      What our graduates say

      “I can say that the instructors offered us a lot of support. Every time they knew about a job opening for juniors, they let us know about it.”

      Bianca Todoran Data Analyst, The Smart Cube

      “The course syllabus is very comprehensive, not just about Java. It’s a good place to start learning. The course helped me to build a knowledge base that I would build on further in line with the job or project requirements I’m working on.”

      Adina Dumitrescu Software Developer, Kalypso

      “If I had to choose the biggest value I got from the course, it’s that it showed me how the human value and technical value go hand in hand in the IT industry. And SDA has managed to outdo themselves in both.”

      Levente Szilveszter Software Developer, Uniqa Raiffeisen Software Service

      “To summarize it all, I would definitely suggest that you try this SDA course if you’re planning to enter the programming world.”

      Pavel Pšečuk Breakwater Technology tehnilise toe insener

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      Learn more
      • date
        14.12
        mode
        weekends
        location
        remote
        hours
        663 h
        price
        PROMO!
        up to -30%

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        mode
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      Learn more
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        14.12
        mode
        weekends
        location
        remote
        hours
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        price
        PROMO!
        promo! up to -30%

      Data Science

      Want to snatch the sexiest job of the 21st century? This course will teach you to master advanced machine-learning techniques and discover hidden gems in massive data sets. The course is in academic hours: the total volume is 277 hours of which 273 hours are auditory and 4 hours of independent work. The course takes place on weekends and 100% using remote work tools.

      learn more
      • date
        14.12
        mode
        daily
        location
        remote
        hours
        277 h
        price
        PROMO!
        promo! up to -30%

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      learn more
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        weekends
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        remote
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        promo! up to -30%

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