Turing College

Course Description:

Master the skills to develop advanced AI applications powered by large language models. In this course, you’ll build a strong foundation in LLM application development, exploring tools like Python or JavaScript, LangChain, and OpenAI APIs. You’ll learn to craft effective prompts, optimize LLM workflows, and integrate external data using retrieval-augmented generation (RAG) and vector databases.
The program focuses on three key areas: laying the groundwork for LLM application development, building interactive tools, and designing autonomous AI agents capable of handling complex, long-term tasks. Through three hands-on projects, you’ll gain practical experience building structured outputs, prototyping chatbots, and deploying intelligent AI systems tailored to real-world challenges.

You’ll also have an opportunity to join the exclusive AI Accelerator program, powered by Firstpick (a leading VC in the Baltics), to transform your innovative ideas into successful businesses.

Course Description:

Build a strong foundation in AI and learn how to apply it to solve real-world business challenges, boost productivity, and increase efficiency. In this course, you’ll discover how to transform raw data into actionable insights, drive better decision-making, and develop customer-centric strategies using AI-powered analytics.
You’ll master tools like OpenAI GPT models, Google Gemini, Microsoft Copilot, Claude, DALL-E or Midjourney, SQL with AI, Google Sheets with AI, Python with AI, and Zapier, applying your skills through five hands-on projects.

Course Description:

Learn how to turn raw data into meaningful business insights. In this course, you’ll master SQL for data extraction and transformation, analyze datasets using Python and libraries like Pandas and Matplotlib, and create compelling data visualizations with tools like Tableau and Power BI. You’ll also develop a strong understanding of business KPIs, learn how to communicate your findings effectively, and apply advanced techniques such as cohort analysis, A/B testing, and segmentation.

Optional specializations:
-Product Analyst
-Marketing Analyst
-Payments/Monetization Analyst
-Financial Analyst
-Risk Analyst

Subjects:
Database Management, A/B Testing, Python, Data Analytics, SQL, Data Visualization

Course Description:

Tools learned: Python, Git, SQL, Docker, Kubernetes, Apache Airflow, Apache Kafka, dbt, Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, Hadoop, Spark

What you’ll learn:
-Master Python, SQL, and advanced data engineering concepts like containerization, data pipelines, and cloud platforms
-Design and manage data infrastructure, including data warehousing, ETL processes, and big data solutions
-Build, deploy, and optimize data engineering solutions on cloud platforms like AWS, GCP, or Azure

Course overview
Core program (14 hands-on projects):
1. Introduction to Data Engineering: Python data model, relational databases, SQL basics, and intermediate SQL.
2. Fundamentals of Data Engineering: Advanced Python, Linux shell commands, database management, and containerization with Docker and Kubernetes.
3. Intermediate Data Engineering: Data pipelines with Apache Airflow, data modeling with dbt, advanced data modeling, and data mesh principles.

Optional specializations:
-Cloud Data Engineering with GCP
-Cloud Data Engineering with AWS
-Cloud Data Engineering with Azure
-Big Data with Spark & Hadoop

Career support, including endorsement process, hiring support and additional benefits such as workshops and career events.

Course Description:

Master the core skills of data science. From data wrangling with Python to implementing machine learning models, you’ll learn how to analyze, clean, and transform data into actionable insights. The course covers everything from statistical analysis and data visualization to building and deploying machine learning models using tools like NumPy, Pandas, SQL, and Scikit-Learn.

Optional specializations:
-Computer Vision (AI Specialization)
-Natural Language Processing (AI Specialization)

Subjects:
Python, Machine Learning, Data Analytics, SQL, Data Visualization, Data Science

Course Description:

Learn how to leverage data and transform insights into impactful marketing strategies that drive business growth. In this course, you’ll develop a deep understanding of digital marketing principles, analyze campaign performance using tools like Google Analytics and SQL, and craft effective strategies with platforms like Google Ads, Meta Ads, and CRM software. You’ll also gain expertise in marketing automation and data visualization with tools like Power BI, Tableau, and Looker Studio.

Optional specializations:
-Advanced Marketing Analytics
-Advanced Social Media Advertising
-Advanced SEO
-Advanced Affiliate and Partnership Marketing
-Advanced Conversion Rate Optimization (CRO)

Course Description:

Master the core skills of web development. From creating responsive front-end designs to building scalable back-end systems, you’ll learn how to develop fully functional websites using tools like Python, JavaScript, TypeScript, HTML, CSS, SQL, and Node.js. The course covers everything from algorithms and data structures to working with APIs and frameworks like Vue.js and REST.

Optional specializations:
-Front-End Developer (React)
-Back-End Developer (Symfony)
-Back-End Developer (Node.js)