Transform Your Enterprise
AI Literacy & Data Mastery for SMEs
Tailored for SME Growth:
Practical, Applicable Insights:
Guided by Industry Leaders:
SMEs in Germany
What you will learn
Module 1
Demystifying AI (Week 1)
Module 2
Power Up with Data Analysis (Week 2)
Module 3
Putting Data & AI into Action (Week 3)
Module 1
Demystifying AI
Unlock the Transformative Potential of AI for Your Business
- 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.
- 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.
- 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.
- € 1,320.00, financed by the Agentur für Arbeit- Qualifizierungschancengesetz for eligible participants.
Module Content
Week 1 Topics
- 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
- How AI is Transforming Industries
- Success Stories: AI in SMEs Across Various Sectors
- Interactive Activity: Spotting AI Opportunities in Your Business
- 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
- 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
- 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.
- 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.
- 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.
- € 1,320.00, eligible for financing by the Agentur für Arbeit- Qualifizierungschancengesetz for participants who meet the criteria.
Module Content
- Setting Up Your Python Environment
- Python Basics: Syntax, Variables, and Data Types
- Introduction to Python Libraries for Data Analysis
- Importing Data from Various Sources (CSV, Excel)
- Data Cleaning and Preparation Techniques
- Data Analysis: Exploring and Manipulating Data
- Principles of Effective Data Visualization
- Introduction to Python Visualization Libraries
- Hands-on: Creating Visualizations and Dashboards
- 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
- 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.
- 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.
- 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.
- € 1,320.00, eligible for financing through the Agentur für Arbeit- Qualifizierungschancengesetz for qualified individuals.
Module Content
- Overview of Data's Role in AI
- Identifying AI Opportunities Through Data Insights
- Hands-on: Preliminary Data Exploration for AI Project Ideas
- Frameworks for Scoping and Planning AI Projects
- Group Activity: Brainstorming and Refining AI Project Ideas
- Workshop: Prototyping Your AI Solution
- Preparing Your Project Presentation
- Peer-to-Peer Feedback and Revisions
- Finalizing Your AI Project Proposal
- Presentation of AI Projects to the Group
- Expert Feedback and Discussion
- Next Steps: Implementing AI Projects in Your Business
Your instructors
Sarah Haq
Omer Shahzad
Chris Kollias
Salma Aziz
Shailvi Maheshwari
Data Analytics & Visualisation-Mentor
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.
Erum Afzal
Artificial Intelligence-Mentor
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
Our AI Ethics Instructors
![](https://lwfiles.mycourse.app/ethos-ai-academy-public/592b504b4ae30fad54c9f271e48e8f73.jpeg)
Instructor
Prof. Ali Hessami
![](https://lwfiles.mycourse.app/ethos-ai-academy-public/22d0854223a9939fc4b61610ce7c7681.jpeg)
Instructor
Patricia Shaw
Why Enroll in Our AI Literacy for SMEs Training?
Our Achievements
IEEE Partnership for AI Ethics
Women AI Academy
Our Cooperation Partners
The Course Schedule
Module 1
Module 2
Module 3
Registration
- Duration: 1 Week per module
- Format: Online (Live & Recorded Sessions)
- Pricing: € 1320 per Module ( it is financed by the Agentur für Arbeit)
ETHOS AI Training & Consulting GmbH
Munich-Germany
Extended Offerings
Site Terms & Info
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for
Electrotechnical Standardization (CENELEC) & International Electrotechnical
Commission (IEC) – safety systems, hardware & software standards
committees. He was appointed by CENELEC as convener of several Working Groups
for review of EN50128 Safety-Critical Software Standard and update and
restructuring of the software, hardware, and system safety standards in
CENELEC.
Ali is also a member of Cyber Security Standardisation
SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest
Group in Humanitarian Technologies and the Systems Council Chapters in the UK
and Ireland Section.
In 2017 Ali joined the IEEE Standards Association (SA),
initially as a committee member for the new landmark IEEE 7000 standard focused
on “Addressing Ethical Concerns in System Design.” He was subsequently
appointed as the Technical Editor and later the Chair of P7000 working group.
In November 2018, he was appointed as the VC and Process Architect of the
IEEE’s global Ethics Certification Programme for Autonomous & Intelligent
Systems (ECPAIS).
Nell serves as Chair & Vice-Chair respectively of the IEEE’s ECPAIS Transparency Experts Focus Group, and the 7001 Transparency of Autonomous Systems committee on A.I. Ethics & Safety, working to help safeguard algorithmic trust. More recently, as Chari of the IEEE P3152 Working Group, she is leading the development of signs and symbols to help the public understand whether they are dealing with a human or a machine, or some combination.
She also chairs EthicsNet.org , a community teaching prosocial behaviors to machines, CulturalPeace.org, which is crowd-crafting Geneva Conventions-style rules for cultural conflict. Her public speaking has inspired audiences to work towards a brighter future at venues such as The World Bank, The United Nations General Assembly, and The Royal Society.
Nell serves as an Executive Consultant on philosophical matters for Apple, as well as serving as Senior Scientific Advisor to The Future Society, and Senior Fellow to The Atlantic Council. She also holds Fellowships with the British Computing Society and Royal Statistical Society, among others.
Ruth’s career has spanned 30 years developing and designing IT solutions for her clients, as a network engineer, senior technical consultant, solutions architect, business analyst and Technology Foresight professional. Her expertise is in introducing new technologies to business, creating managed services and creating innovative governance models within organisations.
Ruth’s passion is to work towards the ethical and sustainable development and use of technology for the good of society, enabling her clients to make wise and informed decisions and investments today to enable their preferred futures.
Ruth is the Chair of the IEEE Society on Social Implications of Technology (SSIT) Standards Committee, is a member of the IEEE Standards Association’s AsiaPac Regional Advisory Group, is the Standards Coordinator for the IEEE SSIT Australia and IEEE Victorian Section, and was an active contributing member of the IEEE 7000TM-2021 Standard Model Process for Addressing Ethical Concerns during System Design.
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