Who Can Join This Program?
- This program is open to everyone- individuals of any gender and background, age.
- No technical background is necessary.
- Prerequisites: a common sense and logical reasoning capacity and a computer with internet access
- feeling stuck at your current position?
- anxious about job loss to AI?
- considering a career change?
- looking to understand AI & Data Fundamentals for your current or future career?
- searching for a learning-circle?
- seeking for a fast-track learning with 1-2-1 personalized mentoring support?
Welcome to the AI Learning Circles
Video
Text material
Assessments
Certificates
How Do AI Learning Circles Work?
Supported by e-learning resources
Your Learning Roadmap to Become a Data Analyst / Data Scientist / Machine Learning Engineer
1. LEARN SKILLS
2. DEVELOP YOUR PROJECT PORTFOLIO
3. GET YOUR DREAM JOB
What Skills can You Learn
DLC1-ORIENTATION Circle
DLC2-MATH&STATS Circle
DLC3-PYTHON Circle
DLC4-DATA ANALYTICS Circle
DLC5-MACHINE LEARNING Circle
DLC6-DATAWARE HOUSE and SQL Circle
DLC7-ADVANCED AI Circle
DLC8-AI PROJECT PORTFOLIO Circle
DLC9-AI ETHICS Circle
DLC10-AI CAREEER Circle
Benefits of Joining AI Learning Circles:
How to join in AI Learning Circles
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Community Membership: Opt for this version to test our learning quality or if budget constraints limit access to expert mentoring. Despite this, you'll still benefit from peer mentoring and even have the opportunity to transition into the role of mentor and facilitator within your circle.
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Advantage Membership: Enroll in this version for weekly live expert mentoring support from our seasoned teachers and mentors, ensuring personalized guidance and insights tailored to your learning journey.
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Insight Membership: Choose this version for intensive expert mentoring support from our distinguished educators and mentors, providing unparalleled depth and breadth of knowledge to propel your AI learning experience to new heights
✔ Tailored Learning Program with initial assessment.
✔ Live Peer Mentoring (unlimited)
✔ Discord community access
✔ Email support
✔ Exclusive Resources from ETHOS AI and Women AI Academy
✔ AI Expert Talks & networking events
✔ Internship Opportunities with industry partners (remote work)
✔ Monthly Workshop for Project Portfolio Development
✔ Tailored Learning Program with initial assessment.
✔ Live Peer Mentoring (unlimited)
✔ Discord community access
✔ Email support
✔ Exclusive Resources from ETHOS AI and Women AI Academy
✔ AI Expert Talks & networking events
✔ Internship Opportunities with industry partners (remote work)
✔ Monthly Workshop for Project Portfolio Development
✔ Expert-led mentoring (24 monthly sessions)
✔ Tailored Learning Program with initial assessment.
✔ Live Peer Mentoring (unlimited)
✔ Discord community access
✔ Email support
✔ Exclusive Resources from ETHOS AI and Women AI Academy
✔ AI Expert Talks & networking events
✔ Internship Opportunities with industry partners (remote work)
✔ Monthly Workshop for Project Portfolio Development
✔ Expert-led mentoring (24 monthly sessions)
✔ Virtual-instructor led teaching class (24 monthly sessions)
✔ Yearly Datacamp Access for additional learning.
✔ Personal 1-2-1 Mentoring (4 monthly sessions).
✔ Job Board Access for direct employer inquiries.
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.
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.
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).
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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