Use AI confidently in your work. Learn to choose the right AI tools, write effective prompts, analyse information, create content and automate repetitive business processes. No coding experience is required.
88%*
of graduates get hired 6+ months after graduation
*Germany, as of July 2026. Includes learners whose program ended at least six months earlier and whose employment status could be confirmed. Unconfirmed outcomes were excluded.
Our mentors bring first-hand experience from companies and universities such as:
The companies and institutions mentioned have no institutional affiliation or official partnership with Turing College.
AI is no longer optional — it’s the key to staying competitive and delivering value in any role. With the AI for Business Analytics course, you’ll learn the tools and strategies to make data-driven decisions and boost productivity, gaining a powerful edge in your career.
Working professional looking to upskill
Looking to increase productivity with AI
Analyst or decision-maker wanting to integrate AI tools in your processes
Apply AI to common business tasks such as research, meeting notes, written communication, presentations, spreadsheets, data cleaning and workflow automation.
The programme starts with AI fundamentals and introduces technical concepts gradually. In the final sprint, AI coding assistants help you write, understand and adapt simple Python scripts.
Use AI to solve business problems rather than completing isolated quizzes. You will practise building reusable prompts, analysing information and automating processes.
Receive personal feedback on your project work from experienced professionals. Use the feedback to check your approach, correct problems and improve the finished result.
Most learners complete AI for Business in around 3.5 months. The programme can take approximately two months with full-time study or up to four months when studied part-time. If you are studying alongside work, plan for around nine focused learning hours per week.
Complete more than 120 hours of practical learning across AI literacy, productivity, content creation, automation and AI-assisted Python.
Ask questions, attend open sessions and workshops, and learn alongside other professionals applying AI to different industries and business functions.
After completing the two core modules, you will receive a Turing College certificate listing the programme components you completed.
The AI for Business course contains two core modules and six sprints. It moves from understanding and evaluating AI to applying it in practical business workflows.
Understand what artificial intelligence is, how common AI systems differ and where businesses currently use them.
You will learn:
What you will practise: Identifying suitable business uses for AI, recognising its limitations, and applying basic security, privacy and compliance rules.
Learn how to communicate clearly with generative AI tools and improve the relevance and reliability of their output.
You will learn:
What you will create: Reusable prompt templates for business tasks you perform regularly.
Use AI to develop visual and multimedia content while understanding its practical and ethical limitations.
You will learn:
What you will practise: Creating and refining AI-assisted images, presentations and multimedia content while evaluating its limitations and risks.
Apply AI to meetings, research, writing and data work.
You will learn:
What you will practise: Using AI to process meeting notes, improve written communication, clean spreadsheet data and verify information.
Connect business tools and automate repetitive processes without needing a traditional programming background.
You will learn:
What you will create: A prototype automation that connects business tools and processes information automatically.
Use AI coding assistants to write, understand and adapt simple Python scripts.
You will learn:
What you will create: A simple Python script for data cleaning, file processing, automation or basic analysis.
Explore and clean the dataset in spreadsheets or SQL to gather insights.
Run A/B tests to compare user behavior and calculate key performance indicators (KPIs).
Explore no-code environments, such as Zapier, for automating workflows.
Discover the best approaches to data cleaning by using effective formulas and tips for Google Sheets or Excel with AI assistance.
Visualize results in a table or graph format and suggest further analyses.
Understand how to utilize Python for automation tasks.
These projects show how learners have applied AI, automation and data tools to problems from their own work and industries
Created by Rasim Baybars
A mobile-first intake system designed to collect traffic-accident information and supporting documents before legal work begins.
The project replaces fragmented phone calls, emails and incomplete forms with a structured digital process. It is designed to reduce missing information, administrative work and delays while making client onboarding more consistent.
Rasim developed it as both a capstone project and a potential business solution.
Created by Aivaras Juškevičius
An automated workflow that turns raw betting-pattern spreadsheets into a formatted report and delivers it through Slack.
The system uses Google Drive, n8n, ChatGPT and PDF conversion to replace a repetitive manual reporting process. It detects new files, extracts the relevant information, generates the report and sends it to the appropriate team.
Created by Aelita
A Google Sheets and Apps Script system that automates recurring LinkedIn and Instagram reporting.
The project brings performance data into a structured reporting workflow, analyses results at post level and gathers potential content ideas from newsletters and news sources. It was designed to replace a time-consuming manual process while retaining human control over content decisions.
Compare AI for Business, Building with AI Agents, and AI Engineering by coding experience, time commitment, and what you'll build.
AI for Business
Building with AI Agents
AI Engineering
Coding experience needed
None
None (you direct AI coding agents like Claude Code instead of writing code yourself)
At least 1 year in Python or JavaScript
Best for
Business professionals, from marketing to finance to operations, who want to use AI confidently without becoming too technical
Professionals who want a structured way to build and ship software with AI coding agents
Developers who want to specialise in building LLM applications and AI agents
Duration
2-4 months
3.5-4.5 months
3-4 months
Weekly time commitment
9 hours a week
12 hours a week
10 hours a week
Examples of projects you will build
AI-assisted reports and presentations, spreadsheet workflows, no-code automations and simple Python scripts for data cleaning or repetitive tasks
A deployed full-stack web or mobile app with auth, database, and payments, capstone of your own design
LLM applications, RAG systems, and AI agents, capstone: a deployed end-to-end LLM application
Key tools
ChatGPT, Gemini, Claude, n8n, Zapier, Python with AI
Claude Code, Next.js, Supabase, Vercel, MCP
LangChain, LangGraph, RAG, ChromaDB, MCP
Online learning is tough when you’re left on your own. That’s why we built Intra, our learning platform that combines the best of both worlds: human support and smart structure. We’ve also built adaptive AI features that personalise your learning even further - so your journey adjusts closely to your pace, needs, and progress.
Learn from people who use AI, data and automation in their work
Our mentors bring experience from data science, analytics, automation, product development and business decision-making. They review learner work, explain how similar problems are approached in industry and keep the learning connected to current practice.
Vytautas has more than eight years of experience in data science and analytics. His work covers generative AI, multi-agent systems, statistics and automation for international clients.
He holds a PhD in Urban Engineering and has published scientific research and a US machine-learning patent. At Turing College, he helps learners turn complex AI concepts into practical approaches they can use.
Gedmantas has more than five years of experience working with data across logistics, oil and manufacturing.
At Continental, he builds forecasting models and automations that help streamline operations. His background in applied mathematics and industry projects helps learners connect analytical concepts to real operational problems.
Irina has more than 12 years of experience across technology, consulting and investment banking. She specialises in turning complex data into insights that support growth and better decisions.
She is also a certified coach at Healthy Gamer. At Turing College, she combines analytical experience with a thoughtful, people-centred approach to project feedback.
Our application process has two simple steps designed to help you and our team understand whether the program is the right next step for you.
Focused hours are:
You’re resident of:
Best for
German residents eligible for a Bildungsgutschein
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
With a Bildungsgutschein
Claude Max (5x) + 25%Best for
German residents eligible for QCG (Qualifizierungschancengesetz) employer-supported funding
Course duration
Fixed, 3 months
Time commitment
30 h per week
Price
With QCG funding
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3-4 months
Time commitment
9+ h per week
Price
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3-4 months
Time commitment
9+ h per week
Price
0% interest
14-day money-back guaranteeBest for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3-4 months
Time commitment
9+ h per week
Price
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3-4 months
Time commitment
9+ h per week
Price
0% interest
14-day money-back guaranteeStarting dates
August 24th
Deadline for applications: 2026-08-17
September 21st
Deadline for applications: 2026-09-14
An AI for Business course teaches professionals how to apply artificial intelligence to workplace tasks and decisions.
Turing College's AI for Business programme covers AI fundamentals, prompting, content creation, productivity, spreadsheets, automation and beginner-friendly Python with AI assistance. It focuses on practical business use rather than training machine-learning models or becoming a software engineer.
Yes. No prior coding experience is required.
The course begins with AI fundamentals and introduces technical concepts gradually. The final sprint includes simple Python tasks completed with support from tools such as GitHub Copilot or Claude Code.
You should be comfortable learning new digital tools, checking AI-generated work and solving problems when a workflow does not behave as expected.
You will learn how common AI tools work, how to write and reuse effective prompts, and how to check AI-generated information.
You will apply AI to content, meetings, research, spreadsheets and business workflows. You will also learn to build no-code automations and use AI assistance to write and understand simple Python scripts.
The curriculum includes ChatGPT, Claude, Gemini, Perplexity, Fireflies.ai, Notta.ai, Grammarly, n8n, Zapier, Hostinger Horizons, Firebase, Lovable, GitHub Copilot, OpenAI Codex and Claude Code.
You will also use AI assistance with spreadsheets, SQL and Python.
The exact tools may change as the market develops. The focus is learning how to select, direct and evaluate AI tools rather than memorising one interface.
The programme helps you apply AI to work you already understand.
You will learn to research and compare information, create reusable prompting workflows, analyse spreadsheets, improve reports and presentations, process meeting information and automate repetitive administrative tasks.
You will also learn to evaluate AI-generated answers, choose suitable tools and work more effectively with technical teams.
Yes. One of the six core sprints focuses on building business automations with no-code tools.
You will learn how tools such as n8n and Zapier can connect applications, move information and automatically summarise, tag or route content. You will also work with branching logic, delays, error handling and workflow testing.
Yes. The core programme includes AI-assisted spreadsheet work, data cleaning and a beginner-friendly introduction to Python.
AI for Business does not provide the same depth of statistical, SQL and dashboard training as the full Data Analytics programme. Learners who want to develop deeper analytical skills may be able to continue with the optional AI for Data Analytics route.
AI tools can produce inaccurate information, expose sensitive data or create content with copyright, impersonation and deepfake risks.
The course teaches you to recognise these risks, apply basic security, privacy and compliance rules, and use verification techniques to check AI-generated information. You will also learn about common limitations such as hallucinations, misinformation, inconsistent branding and poor text rendering.
The flexible AI for Business programme takes between two and four months and is typically completed in around 3.5 months.
If you are studying alongside a full-time job, plan for approximately nine focused learning hours per week.
The Germany-funded programme runs for three months on a fixed schedule of 30 hours per week and should be treated as full-time study.
You will apply AI to practical business problems throughout the programme.
Previous learners have built an automated reporting workflow, an AI-assisted social-media reporting system and a digital client-intake solution for German traffic law firms. Your own projects will depend on the business problems and workflows you choose to explore.
You will receive one-to-one feedback on project work from Senior Team Leads. Learners can also attend open sessions and workshops.
The Germany-funded programme includes daily stand-ups and four workshops during the funded period.
The self-funded programme costs €3,500 when paid upfront or four monthly instalments of €1,055 at 0% interest.
Self-funded learners should also budget for a ChatGPT Plus subscription for up to four months, currently approximately €20 per month, and approximately €5 of OpenAI API or Playground credit.
Eligible learners in Germany can study at no personal cost with a Bildungsgutschein. Turing College provides the required ChatGPT Plus subscription and API credits during the funded programme.
Eligible German residents can study the fixed three-month AI for Business programme at no personal cost with a Bildungsgutschein.
The funded programme requires 30 hours of study per week. Eligibility is determined by the Agentur für Arbeit or Jobcenter.
We would rather you choose the right programme than enrol in the wrong one.
This programme is for you if:
This programme is not for you if:
| Choose this programme | If your main goal is |
|---|---|
| AI for Business | Use AI for workplace research, analysis, communication, content and automation without becoming a software engineer |
| Building with AI Agents | Direct AI coding agents to build and deploy web, mobile and AI-powered applications without needing previous coding experience |
| AI Engineering | Use existing Python or JavaScript skills to build LLM applications, RAG systems and multi-agent systems in code |
