Gedmantas brings over five years of experience working with data across logistics, oil and manufacturing. At Continental, he builds forecasting models and automates operational tasks. With a background in applied mathematics, he draws on his industry work to help Turing College learners approach data problems and put mathematical concepts into practice.
AI for Business online course
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 programme 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-intensive sectors, such as services and IT, are experiencing productivity growth nearly 5x faster than less AI-focused industries.”
- PwC
Bring practical AI skills into your role
Learn how to identify where AI could improve a task or business process, analyse information and create better recurring workflows. AI for Business gives you practical experience using AI for research, communication, data and process improvement, building on the professional experience you already have.
Is it for me? Yes, if you’re:
Working professional looking to upskill
Looking to increase productivity with AI
Analyst or decision-maker wanting to integrate AI tools in your processes
What can you expect?
Practical AI skills for your current work
Apply AI to common business tasks such as research, meeting notes, written communication, presentations, spreadsheets, data cleaning and workflow automation.
No coding background required
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.
Practical projects
Use AI to solve business problems rather than completing isolated quizzes. You will practise building reusable prompts, analysing information and automating processes.
1:1 mentoring
Receive personal feedback on your project work from experienced professionals. Use the feedback to check your approach, correct problems and improve the finished result.
Flexible online learning
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.
120+ hours of learning
Complete more than 120 hours of practical learning across AI literacy, productivity, content creation, automation and AI-assisted Python.
Supportive learning community
Ask questions, attend open sessions and workshops, and learn alongside other professionals applying AI to different industries and business functions.
Turing College certificate
After completing the two core modules, you will receive a Turing College certificate listing the programme components you completed.
AI tools and technologies you will use
- ChatGPT
- Google Gemini
- Claude
- Perplexity
- Fireflies.ai
- Notta.ai
- Grammarly
- Spreadsheets with AI
- SQL with AI
- Python with AI
- n8n
- Zapier
- Hostinger Horizons
- Firebase
- Lovable
- GitHub Copilot
- OpenAI Codex
- Claude Code
Programme outline
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.
1Introduction to AI
1
Introduction to AI
Understand what artificial intelligence is, how common AI systems differ and where businesses currently use them.
You will learn:
- · The main types of artificial intelligence
- · Common AI applications in business
- · How large language models are trained
- · Why AI tools produce inaccurate or invented answers
- · How to recognise AI-generated content
- · Security, privacy and compliance considerations
- · Sustainable and responsible AI habits
What you will practise: Identifying suitable business uses for AI, recognising its limitations, and applying basic security, privacy and compliance rules.
2Prompting for better outcomes
2
Prompting for better outcomes
Learn how to communicate clearly with generative AI tools and improve the relevance and reliability of their output.
You will learn:
- · How ChatGPT, Claude and Gemini differ
- · How to choose an appropriate model or tool
- · Prompt and context engineering
- · Setting clear goals, constraints and output formats
- · Recognising and reducing hallucinations
- · Retrieval-augmented generation
- · Context windows and instruction dilution
- · Creating reusable prompt templates
- · Verifying AI-generated answers
What you will create: Reusable prompt templates for business tasks you perform regularly.
3AI for media and content creation
3
AI for media and content creation
Use AI to develop visual and multimedia content while understanding its practical and ethical limitations.
You will learn:
- · AI-assisted image creation and editing
- · Describing visual styles clearly
- · Planning and producing presentations
- · Using AI for voice, audio and basic video
- · Common problems such as text-rendering errors and style drift
- · Deepfakes and impersonation risks
- · Copyright considerations
- · Reviewing AI-generated media before publication
What you will practise: Creating and refining AI-assisted images, presentations and multimedia content while evaluating its limitations and risks.
4AI for productivity and spreadsheets
4
AI for productivity and spreadsheets
Apply AI to meetings, research, writing and data work.
You will learn:
- · How organisations use AI across different industries
- · Using Fireflies.ai and Notta.ai for meeting notes
- · Extracting decisions and actions from meetings
- · Cleaning and transforming spreadsheet data with AI
- · Working with Google Sheets or Excel using AI assistance
- · Improving business writing with tools such as Grammarly
- · AI-assisted research and search
- · Verifying information and avoiding misinformation
What you will practise: Using AI to process meeting notes, improve written communication, clean spreadsheet data and verify information.
5Automations with no-code tools
5
Automations with no-code tools
Connect business tools and automate repetitive processes without needing a traditional programming background.
You will learn:
- · How to recognise a suitable automation opportunity
- · Using n8n or Zapier to connect applications
- · Moving information between forms, spreadsheets and other tools
- · Summarising, tagging and routing information with AI
- · Branching logic, delays and error handling
- · Testing and improving an automated workflow
- · Building simple websites or internal tools
- · Working with Hostinger Horizons, Firebase and Lovable
What you will create: A prototype automation that connects business tools and processes information automatically.
6Python programming with AI
6
Python programming with AI
Use AI coding assistants to write, understand and adapt simple Python scripts.
You will learn:
- · Working in a notebook environment such as Jupyter
- · Using GitHub Copilot or Claude Code
- · Asking AI to generate and explain Python
- · Reading and adapting existing code
- · Cleaning data with simple scripts
- · Processing files and automating small tasks
- · Debugging AI-generated code
- · Understanding the limits of vibe coding
- · Deciding when a technical specialist is needed
What you will create: A simple Python script for data cleaning, file processing, automation or basic analysis.
Examples of projects
Explore and clean the dataset in spreadsheets or SQL to gather insights.
Run A/B tests to compare user behaviour 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.
Visualise results in a table or graph format and suggest further analyses.
Understand how to utilise Python for automation tasks.
See what AI for Business learners have created
These projects show how learners have applied AI, automation and data tools to problems from their own work and industries
Find the right Turing College AI course for you
Compare the programmes to find one that fits your experience and the work you want to do. The durations and weekly hours shown are for self-funded study.
AI for Business
- Duration
- 2 to 4 months
- Pace
- ~9 hours/week
- Who it's for
- Professionals in marketing, finance and operations who want to use AI to analyse information, create content and automate recurring tasks
- Experience required
- None
- What you'll build
- Presentations, AI-assisted spreadsheet analyses and automated workflows that connect apps to summarise, organise or route information
- ChatGPT
- Gemini
- Claude
- n8n
- Zapier
- Python with AI
A unique learning experience powered by technology
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.
Meet the AI for Business mentors
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.
Gintautas brings over 20 years of experience across business, technology and leadership, including serving as CEO of Paysera and leading public sector digital services. At Sitezem lab, he advises organisations on using data and implementing AI. At Turing College, he teaches learners to apply data analytics and AI in business, drawing on his experience improving processes, evaluating technology investments and managing risk.
Justinas brings experience in software engineering and data science, with projects ranging from analysing cardiac ultrasound images to extracting information from documents and building intelligent search tools. He holds a master’s degree in applied mathematics. At Turing College, he supports learners drawing on his experience applying AI to specific business and public sector tasks, including work at Hyarchis, TeleSoftas and Auckland Council.
Laura brings over five years of data analytics experience across marketing and energy. At ESO, she builds data pipelines and reports that support decisions about the electricity distribution network. At Turing College, she reviews learner projects and provides technical guidance, drawing on her experience translating business questions into analytical tools. Having moved from marketing into analytics herself, she also understands what it takes to learn a new field.
Flexible graduation: you set the pace
Our learners were hired by top companies
How admissions works
Our application process has two simple steps designed to help you and our team understand whether the programme is the right next step for you.
- 1
Application
Tell us about your background and answer two short questions about your motivation and goals. Your application goes straight to our admissions team, who review it personally and get back to you within 24 hours on working days. - 2
Consultation
If the programme matches your goals, we’ll invite you to a 20 to 30-minute consultation. This is your chance to ask anything, understand exactly how the programme works, check your financing options, and decide whether it’s the right fit for you.
Basic admission requirements:
Focused hours
Focused hours
Focused hours are:
- · Working on a computer (not a smartphone)
- · Uninterrupted working time in a dedicated space
- · Rested, not overworked (not after intense cognitive work)
Strong motivation
Strong motivation
You need a clear and strong reason for joining this programme. It should be your personal goal, and you should have specific reasons for wanting to improve your skills.
Good English skills
Good English skills
You must demonstrate an English proficiency of at least B2 level to join the programme.
Up-to-date computer
Up-to-date computer
You’ll need a computer that can handle large datasets smoothly and runs an actively supported and updated operating system.
Flexible payment and funding options
Upfront payment
Learners who want the lowest total price by paying upfront
€3,500
Save 17%- Flexible, 2-4 months
- 9+ h per week
- 14-day money-back guarantee
Instalments
Learners who prefer to split self-payment into monthly instalments
€1,055× 4 months
0% interest
- Flexible, 2-4 months
- 9+ h per week
- 14-day money-back guarantee
QCG
German residents eligible for QCG (Qualifizierungschancengesetz) employer-supported funding
Up to 100% funded
With QCG funding
- Fixed, 3 months
- 30 h per week
We have limited seats. Apply now!
- Apply now
October 21st
Deadline for applications: October 14, 2026
Our graduates have achieved life changing growth. You can too.
Turing College has been a great experience. I loved the structure and content of the material. I had constant contact with instructors and peer learners. I find the peer and senior review concept really efficient.
Kata Hernádi
Delegation Team Coordinator @ Siemens Energy
FAQ
What is an AI for Business course, and what does it teach?
What is an AI for Business course, and what does it teach?
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.
Can I learn AI for Business without coding experience?
Can I learn AI for Business without coding experience?
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.
What will I learn in the Turing College AI for Business programme?
What will I learn in the Turing College AI for Business programme?
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.
Which AI tools will I learn to use?
Which AI tools will I learn to use?
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.
How can I use AI in my current job?
How can I use AI in my current job?
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.
Can I learn to automate work without coding?
Can I learn to automate work without coding?
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.
Can I learn data analysis with AI?
Can I learn data analysis with AI?
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.
What are the risks of using AI at work?
What are the risks of using AI at work?
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.
How long does AI for Business take, and can I study while working full-time?
How long does AI for Business take, and can I study while working full-time?
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.
What projects will I build during the course?
What projects will I build during the course?
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.
What support will I receive while studying?
What support will I receive while studying?
You will receive one-to-one feedback on project work from Senior Team Leads. Learners can also attend open sessions and workshops.
Will I receive a certificate after completing AI for Business?
Will I receive a certificate after completing AI for Business?
Yes. After completing the two core modules, you will receive a Turing College certificate listing the programme components you completed.
How much does the AI for Business course cost, and are paid AI tools included?
How much does the AI for Business course cost, and are paid AI tools included?
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.
Is AI for Business right for me?
Is AI for Business right for me?
We would rather you choose the right programme than enrol in the wrong one.
This programme is for you if:
- ✅ You want to use AI in an existing business, management, analytical, marketing, finance, project or operations role
- ✅ You want to understand tools such as ChatGPT, Claude and Gemini without becoming an AI engineer
- ✅ You want to improve research, communication, spreadsheet and workflow tasks
- ✅ You want to automate repetitive work with tools such as n8n or Zapier
- ✅ You want practical projects and personal feedback rather than a passive video course
- ✅ You do not have a coding background but are willing to learn basic technical concepts
This programme is not for you if:
- ❌ Your main goal is to build full-stack web or mobile products. Building with AI Agents is designed for directing AI coding agents to create and deploy software
- ❌ You already write Python or JavaScript and want to build RAG applications or multi-agent systems in code. AI Engineering is designed for that level
- ❌ You want in-depth training in statistics, SQL, dashboards and analytical specialisations. Consider the Data Analytics programme
- ❌ You want to train machine-learning models or study AI research in depth. The Data Science and AI programme is the more appropriate route
- ❌ You need a university degree or academic qualification. This is a professional online programme built around practical work and feedback
- ❌ You want a passive, video-only course without projects, deadlines or feedback
What is the difference between AI for Business, Building with AI Agents and AI Engineering?
What is the difference between AI for Business, Building with AI Agents and AI Engineering?
| 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 |
Next group starts on October 21st