Transform Your Enterprise

AI Literacy & Data Mastery for SMEs

Unlock the transformative power of Artificial Intelligence (AI) and data analysis through our AI Literacy Training, meticulously crafted for small and medium-sized enterprises (SMEs). 
Whether you're venturing into the realm of AI for the first time, aiming to enhance your data analysis capabilities, or seeking to integrate advanced AI strategies into your business operations, our curriculum offers unparalleled flexibility. 

Tailored for SME Growth:

Our course structure is thoughtfully designed with the specific challenges and opportunities of SMEs in mind, ensuring that every lesson is relevant to your business context.

Practical, Applicable Insights:

Move beyond theoretical knowledge with course content that's steeped in real-world applicability. We focus on imparting skills and insights that you can directly apply to your business operations, driving growth and innovation.

Guided by Industry Leaders:

Benefit from the deep knowledge and experience of our expert instructors, who not only understand the landscape of AI and data analysis but also how to navigate its complexities within the SME sector.

SMEs in Germany 

No need to wait any longer. Your training can be financed by the Agentur für Arbeit. The course fees for your employees will be fully covered. Thanks to the Qualifizierungschancengesetz, you can have 100% of the course costs and up to 75% of the salary payments during the training period reimbursed by the Agentur für Arbeit. Please contact us or the Agentur für Arbeit for more details.
Our company is certified as a Training Provider (Bildungsträger), enabling us to assist you in developing your AI skills within your budget.

What you will learn

Dive into our specialized modules, each crafted to address different aspects of AI and data analysis. Register for one, two, or all three to tailor your learning journey to your professional needs and goals.

Module 1

Demystifying AI (Week 1)

We guarantee you an exceptional experience with flexible learning paths and professional guidance.

Module 2

Power Up with Data Analysis (Week 2)

Hands-on skills in Python for data analysis, from basics to data visualization.

Module 3

Putting Data & AI into Action (Week 3)

Apply data analysis in AI projects, identify AI opportunities within your SME.

Module 1

Week 1

Demystifying AI

Unlock the Transformative Potential of AI for Your Business

This foundational module offers a deep dive into the world of Artificial Intelligence, providing a comprehensive overview of its evolution, key concepts, and its far-reaching implications for the business world. Through engaging lectures, interactive activities, and explorations of real-world case studies, participants will gain a solid understanding of AI and its potential to drive innovation and efficiency in their professional environments.
  • Understand AI's core concepts, history, and its transformative potential for businesses.
  • Explore the different types of AI, including machine learning and deep learning, and their applications across industries.
  • 5 days of full-day virtual learning, encompassing 40 lesson units designed to fit into a busy professional's schedule.
Target Audience  
This module is specifically designed for:
  • SME Owners and Entrepreneurs seeking to understand how AI can be leveraged to enhance their business operations and create new opportunities.
  • Professionals and Managers in non-technical roles who wish to gain insights into AI for strategic decision-making and innovation.
  • Career Changers and Lifelong Learners interested in the fundamentals of AI and its implications on the future of work and industries.
  • Individuals Sponsored by Employment Agencies, particularly those looking to reskill or upskill through programs financed by initiatives like the Agentur für Arbeit- Qualifizierungschancengesetz.
Key Features  
  • Interactive Activities: Engage with hands-on workshops and brainstorming sessions to ideate on AI applications within your business context.
  • Real-world Case Studies: Learn from the successes and challenges of AI implementation across various industries.
  • Comprehensive Curriculum: Covering everything from the basics of AI to exploring its business applications and strategic importance.
Price €
  • € 1,320.00, financed by the Agentur für Arbeit- Qualifizierungschancengesetz for eligible participants.
By the end of this module, participants will not only have a solid understanding of AI but also be able to identify opportunities for its application within their own businesses or professional roles. Ideal for beginners and those seeking to comprehend the strategic benefits of AI, this module serves as the stepping stone to embracing technology-driven change.

Module Content  

Week 1 Topics

Day 1: Introduction to AI
  • What is AI? Understanding its Scope and Impact
  • The Evolution of AI: From Concept to Current Trends
  • Different Types of AI: Generative AI, Machine Learning, Deep Learning
Day 2: Exploring AI Applications
  • How AI is Transforming Industries
  • Success Stories: AI in SMEs Across Various Sectors
  • Interactive Activity: Spotting AI Opportunities in Your Business
Day 3 & 4: Case Studies & Real-World Applications
  • Deep Dive into Real-World AI Case Studies
  • Group Discussions on AI Implementation Challenges and Solutions
  • Interactive Workshop: Identifying AI Use Cases in Your SME
Day 5: AI Strategy and Innovation
  • Brainstorming Session: Innovating with AI in Your Business
  • Developing a Roadmap for AI Implementation
  • Group Presentations: Pitching Your AI Ideas

Module 2: Power Up with Data Analysis (Week 2)

Gain Hands-on Experience with Python for Data Analysis

Dive into the practical world of data analysis with Python, one of the most versatile and widely-used programming languages in the data science field. This module is designed to equip you with the essential skills needed to perform data analysis tasks, from basic operations to creating insightful visualizations. Through a blend of theory and extensive hands-on practice, you'll learn to manipulate, analyze, and visualize data, empowering you to unlock valuable insights from real-world datasets.
  • Acquire practical data analysis skills using Python, covering everything from setting up your environment to advanced data manipulation and visualization techniques.
  • 5 days of immersive, full-day virtual learning, consisting of 40 lesson units tailored to offer a comprehensive understanding and application of data analysis with Python.
Target Audience  
This module is tailored for:
  • Aspiring Data Analysts and Scientists who wish to build a strong foundation in data analysis with Python.
  • SME Professionals in marketing, finance, or operations seeking to leverage data analysis to drive business insights and decisions.
  • Career Advancers and Transitioners looking to add valuable data analysis skills to their repertoire for improved job opportunities in the tech-driven marketplace.
  • Individuals Supported by Educational Grants, especially those eligible for funding under initiatives like the Agentur für Arbeit- Qualifizierungschancengesetz, aiming to reskill or upskill in data analysis.
Key Features  
  • Python Setup: Begin from scratch by setting up the Python environment, ensuring you're ready to dive into data analysis.
  • Data Manipulation: Learn to import, clean, and manipulate data from various sources using Pandas, a powerful Python library.
  • Hands-on Exercises: Apply your learning on real datasets, tackling actual data analysis challenges to solidify your skills.
  • Data Visualization: Master the art of creating compelling visualizations with libraries such as Matplotlib and Seaborn to communicate your findings effectively.
Price €
  • € 1,320.00, eligible for financing by the Agentur für Arbeit- Qualifizierungschancengesetz for participants who meet the criteria.
This module not only aims to build your proficiency in Python for data analysis but also ensures you can immediately apply these skills in a professional setting or personal projects. Whether you're aiming to enter the data science field, seeking to enhance your job profile, or needing to make informed decisions based on data in your current role, Module 2 offers the essential toolkit to achieve your goals.

Module Content  

Week 2 Topics  
Day 1: Getting Started with Python
  • Setting Up Your Python Environment
  • Python Basics: Syntax, Variables, and Data Types
  • Introduction to Python Libraries for Data Analysis
Day 2 & 3: Data Handling and Manipulation
  • Importing Data from Various Sources (CSV, Excel)
  • Data Cleaning and Preparation Techniques
  • Data Analysis: Exploring and Manipulating Data
Day 4: Data Visualization
  • Principles of Effective Data Visualization
  • Introduction to Python Visualization Libraries
  • Hands-on: Creating Visualizations and Dashboards
Day 5: Project Work & Review
  • Applying What You've Learned: Analyzing a Real Dataset
  • Workshop: Crafting Insights from Data
  • Presenting Your Analysis: Feedback Session

Module 3: Putting Data & AI into Action (Week 3)

From Analysis to Application: Driving Innovation with Data and AI

This advanced module is designed to take your data analysis skills to the next level, applying them within the context of AI projects to drive innovation and efficiency in your SME. Through analysis of real-world datasets and the development of AI project proposals, participants will learn how to bridge the gap between theoretical knowledge and practical application.
  • Application of data analysis skills in real-world AI projects.
  • Identification and development of AI opportunities within your SME.
  • 5 days of full-day virtual learning, incorporating 40 lesson units focused on applying data and AI concepts to real business challenges.
Target Audience  
This module is ideally suited for:
  • Data Analysts and Scientists looking to apply their skills in AI project development.
  • SME Managers and Owners interested in identifying and implementing AI solutions to solve business problems and create new opportunities.
  • Technology Professionals aiming to integrate AI applications into their work, enhancing efficiency and innovation.
  • Participants Sponsored by Employment Agencies, with a focus on those benefiting from the Agentur für Arbeit- Qualifizierungschancengesetz's support for advanced training.
Key Features  
  • Real-World Datasets Analysis: Engage with datasets relevant to your business, applying data analysis for actionable insights.
  • AI Project Development: From concept to proposal, work on AI projects that could transform your SME.
  • Expert Feedback: Present your projects to receive constructive feedback from industry experts.
  • Project Showcase: Opportunity to present your AI project ideas, demonstrating your learning and innovation potential.
Price €
  • € 1,320.00, eligible for financing through the Agentur für Arbeit- Qualifizierungschancengesetz for qualified individuals.
Upon completing this module, participants will not only have advanced their data analysis skills but also learned how to effectively apply these skills in developing AI projects, positioning themselves as innovators in their respective fields.

Module Content  

Week 3 Topics  
Day 1: From Data to AI
  • Overview of Data's Role in AI
  • Identifying AI Opportunities Through Data Insights
  • Hands-on: Preliminary Data Exploration for AI Project Ideas
Day 2 & 3: Developing AI Projects
  • Frameworks for Scoping and Planning AI Projects
  • Group Activity: Brainstorming and Refining AI Project Ideas
  • Workshop: Prototyping Your AI Solution
Day 4: Project Showcase Preparation
  • Preparing Your Project Presentation
  • Peer-to-Peer Feedback and Revisions
  • Finalizing Your AI Project Proposal
Day 5: AI Project Showcase
  • Presentation of AI Projects to the Group
  • Expert Feedback and Discussion
  • Next Steps: Implementing AI Projects in Your Business

Your instructors

Sarah Haq

Mentor for ML Engineering & Data Scientist
Sarah Haq is a Computer Science and Creative Computing Lecturer at Leuphana University- Sarah has over ten years of experience working with data and building machine-learning models for various startups, from underwear companies to unicorns.
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She was previously a Senior Machine Learning Engineer at the world’s largest online art marketplace, Artsy, where she shaped the personalisation strategy and built a recommendation engine to connect collectors with artworks they truly loved.
 Sarah completed her studies in Mathematics and Economics at the London School of Economics.

Omer Shahzad

Mentor for ML Engineering & Software Development
Passionate Full-Time Software Developer with a 4-year track record in Java Springboot and Python Django.
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Experienced in delivering high-quality software solutions, I bring expertise in MySQL, SwaggerAPI, and OpenAPI. Proven mentor in Python and Java, excited to share insights. Specialized in Machine Learning with Python (Keras, TensorFlow, Numpy, Pandas, OpenCV). Let's connect and explore the limitless possibilities in coding!

Chris Kollias

Data Science & Programming-Mentor
Chris is an Electrical Engineer who specializes in Programming and Data Science. He has been teaching Python, SQL and Data Analysis to undergraduate students of prestigious institutions, as well as contribute to various start up companies as an advisor.
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Ever since he was a kid, Chris has been teaching about something. That kind of passion and love for teaching is what he brings to the table, alongside his 4 year experience of being a professional Computer Science teacher. After becoming an Electrical Engineer, Chris explored the global market and has now worked with clients from over 30 different countries. He has also worked for organizations in the E-sports field as a Data Analyst.

Salma Aziz

Machine Learning & Data Science Mentor
Drawing from her international journey and data science expertise, Salma dedicates herself to mentoring and teaching, blending practical experience with academic wisdom to inspire future data enthusiasts.
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Salma embarked on her academic path with a strong base in Mathematics and Physics, which led to an Engineer Diploma in Statistics and Applied Economics. She then earned a Master's in Data Science. Alongside her core studies, Salma also undertook an innovative Student-Entrepreneur program. She holds a fervent belief: in the vast world of data, every pattern tells a story, and every analysis reveals a new insight. Salma's goal extends beyond mere instruction; she aims to spark a quest among learners to decode these stories, driving them toward impactful decisions.

Shailvi Maheshwari
Data Analytics & Visualisation-Mentor

With over 4 years of extensive experience in Data Analytics, Shailvi is a seasoned professional. She is proficient in Microsoft Power BI, Tableau, Microsoft Excel, SQL, and Google Data Analytics and has a comprehensive understanding of the industry's intricacies.
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Known for her passion for teaching, Shailvi has been guiding students at WAIA for the past year. She firmly believes that practical application is the key to effective learning and thus focuses on hands-on experience rather than a theoretical approach.

Approachable and dedicated, Shailvi actively encourages students to ask challenging questions, promising to assist them every step of the way. Her commitment to clarifying doubts and queries ensures that students are constantly supported throughout their learning journey.
In her classes, you can expect to gain a strong understanding of fundamental concepts and master the art of creating interactive portfolio reports across various domains.

Erum Afzal
Artificial Intelligence-Mentor

Erum is a Ph.D. scholar specializing in AI tools for teacher training at Justus Liebig University, Germany, with a strong background in Information and Computational Technology.
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Beyond academia, she is a mentor and speaker, passionate about educating in AI, Data Science, and Machine Learning. Her collaborations with esteemed organizations like Women AI Academy, ETHOS AI, Women Who Code, Omdena, and Neuro Match Academy showcase her commitment to knowledge sharing. Erum's academic pursuits and industry engagement make her a valuable asset, driving innovation in AI and Data Science..

Zubia Khan

Data Science & Data Analytics-Mentor
Zubia Khan is working as a Data Scientist for multiple business clients. She is teaching UK students at the undergraduate level.
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She has more than 4 years of experience working with large volumes of data to perform exploratory data analysis, feature selection, feature extraction, predictive analytics, and model deployment for healthcare and training organisations. She has experience working as a lecturer at the world’s best university, Anglia Ruskin University, where she taught undergraduate students Computer Science, specifically cipher challenges in various programming languages. She has completed Computer Science training at the University of Cambridge with the  founder of the Raspberry Pi, Alan Mycroft. She is currently pursuing a master’s degree in Artificial Intelligence from the world’s top 100 university, the University of York.

Our AI Ethics Instructors


Prof. Ali Hessami

Director of R&D and Innovation at Vega Systems, London, UK.
Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. 


Patricia Shaw

CEO and Founder of Beyond Reach Consulting Limited, UK
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.

Why Enroll in Our AI Literacy for SMEs Training?

Choose the module(s) that align with your current skills and goals.
Expert Instruction
Learn from industry leaders with real-world experience.
Practical Learning
Engage with hands-on exercises, real datasets, and project work.
Networking Opportunities
Connect with peers and professionals in the field.
Immediate Application
Gain actionable insights and strategies for your SME.
Diverse and Accomplished Team
Our experts hail from various capability areas, delivering comprehensive solutions that cater to the entire spectrum of AI ethics and compliance.
Gender Diversity
Our AI Ethics Team proudly comprises more than 50% accomplished female experts, promoting diverse perspectives and innovative insights.
Pioneer in Ethical AI
ETHOS AI played a pivotal role in co-developing international standards and certification programs for ethical AI.
Global Reach
With a presence across international locations, we address the nuances of AI ethics and compliance on a global scale.
Awards and Recognition
Our commitment to diversity, innovation, and responsible AI practices has earned us industry accolades.

Our Achievements

IEEE Partnership for AI Ethics

 Our proudest collaboration: partnering with IEEE to craft and deliver training for AI Ethics certification.
 IEEE’s leadership in AI standardization, encompassing ethical guidelines, amplifies the value and reach of our combined efforts.

Women AI Academy

Our groundbreaking initiative
Reskilling immigrant women with academic backgrounds for pivotal Data roles – Data Analytics, Data Engineering, and Data Science.
AZAV Certification
Proudly, our organization is recognized and certified by the German Employment Agency for funding. This underscores our commitment and ensures our training adheres to rigorous quality standards.
Through this transformative program
We not only empower women but also infuse the tech industry with much-needed diverse talent.
Our Remarkable Collaboration
Assisting Fraunhofer IDMT with the “liketohear” project.
 Vision: Pioneering the future of auditory experiences, enabling tailored listening for all, regardless of hearing capabilities.
 Our Contribution: Bridging the technical challenge with ethical AI principles to craft an adaptive algorithm meeting diverse user needs.
 Outcome: Through our combined expertise, we’ve set a benchmark in delivering an inclusive and innovative auditory solution.
Global Networks & Partnerships for Ethical AI
 Prestigious Cooperations: Our commitment to Ethical AI is fortified through our collaborations with global giants such as TÜV SÜD, WU-Vienna, and IEEE.
 Leveraging these alliances and our own achievements, we’ve crafted teams endowed with diverse skill sets.
 Our experts are well-equipped to tackle challenges from ethical, technical, legal, and operational perspectives, ensuring our clients benefit from well-rounded, holistic solutions.

Our Cooperation  Partners

We have been collaborating with pioneering teams and organizations in the AI Ethics field since inception. We are dedicated to assembling the right experts for your teams, tailored to your specific requirements. Here are some of our esteemed cooperation partners for the consulting and training projects:

The Course Schedule

We have scheduled the following course dates. New dates will be added based on demand.
Should you wish to enroll in more than one module, you can do so seamlessly, as our schedule is designed to allow uninterrupted participation across modules.
Please note that courses will not be held on official national holidays in Germany.
Please choose your preferred course dates and register early. Space is limited, and seats in each class are available on a first-come, first-served basis.

Module 1

 April 2024: 15.04-19.04
 May 2024: 13.05-17.05
 June 2024: 10.06-14.06

Module 2

 April 2024: 22.04-26.04
 May 2024: 21.05-27.05
 June 2024: 17.06-21.06

Module 3

 April 2024: 29.04-06.05
 May 2024: 28.05-03.06
 June 2024: 24.06-28.06
(No course will be available on May 1st, May 9th, May 20th)


Each module is designed as a standalone learning experience, offering a deep dive into specific topics. Participants can choose to enroll in individual modules or the complete series for a comprehensive understanding of AI and data analysis in the SME context.
  • Duration: 1 Week per module
  • Format: Online (Live & Recorded Sessions)
  • Pricing: € 1320 per Module ( it is financed by the Agentur für Arbeit)
Choose the module(s) that meet your needs and start transforming your business today. With limited spots available for each module to ensure a personalized learning experience, early registration is encouraged.
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