TRAINING OR RESKILLING FOR ARTIFICIAL INTELLIGENCE (AI)

Kickstart your career in AI as a Data Engineer / Data Analyst with Women AI Academy

For whom? If you are unemployed or seeking to change your career path.

Cost: Financing available through education vouchers (Bildungsgutschein) from job centers and employment agencies. Paid out of pocket: €9,559.20.

Dauer: You can complete the program either in 14 weeks as a fullday booking, or in 24 weeks as halfday booking. Halfday program is specially designed for women returners or career relaunchers.

Next start:
Half-day program: 16 January 2023
Full-day program: 30 January 2023

ARTIFICIAL INTELLIGENCE JOBS WITHOUT TECHNICAL BACKGROUND?

Yes, 50% technical problems can only be solved with common sense. Also AI jobs. You don't need a degree to work as a data analyst & data engineer. As with web programmers, for example, you can score points with experience.

  • Are you keen to return to work following a career break?
  • Do you require further training or retraining?
  • Is your current job in jeopardy?

    Then we look forward to receiving your application!
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  • More than 60.000 vacancies in Germany
  • High starting salary
  • Germany or international employment
  • Home Office working- possible

WHAT IS A DATA ANALYST & DATA ENGINEER?

A DATA ANALYST and DATA ENGINEER are responsible for the collection, processing and storage of data from different sources. They also create and manage the technological infrastructure of data platforms and participate in the generation of insights and ideas for decision-making.

Software is interfering more and more in our lives. It is important that people with an ethical perspective and practical life experience, as specialists, as women, as men, work on it.

EVERY INDUSTRY INVESTS IN ARTIFICIAL INTELLIGENCE

You dont need a  technical or academic profession, just interest. You industry knowledge, your life experiences and your DATA ANALYST & DATA ENGINEER BOOTCAMP will make you an expert in this field.

DATA ANALYST & DATA ENGINEER : NUMBERS | DATA | FACTS

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Enjoy digital technology, research work, programming, problem solving, decision making, communication with people?

Those are the basics you need to bring with you. Your curiosity and your common sense, ratio and intuition are equally in demand in a varied job.
You dare!

YOU NEED


First of all, you need common sense. 
If you have a university degree, that's great, especially for German employers. 

If you have an Abitur ( or its equvalient)
If you have experience in a STEM area or in Business Admin

If your english level is  minimum at B2 ( the program is delivered mainly in english)


Any of this doesn't fit? Ask us, we'll try to find a solution.

WHO NEEDS DATA ANALYST OR DATA ENGINEER?


Short answer: all. Every industry invests in artificial intelligence (AI), utilizing large amounts of data. Social affairs, trade, production, services, administration, NGO, medicine, science.

From law firm and astrophysics to process or operational planning, machine technology, product design, sales to supplementary dental insurance.

The need for employed or freelance DATA ANALYTICS & DATA TECHNICIANS is increasing rapidly and cannot be satisfied at the moment


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WHAT CHOICES DO YOU HAVE?

We are in a great time for women to enter the tech industry. Many companies are urgently looking for women.

  • You can work as a data analyst.
  • You can work as a data engineer.
  • You can work as an AI project manager.
  • You can specialize as an AI ethics consultant.
  • You can work as a freelancer or as an employee. You can work part-time or full-time.
  • You can set up your own startup. There are many funding programs for female founders in the tech industry.
  • You can work from home or go to the office.
  • You can work for German or international companies or for NGOs.
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We estimate 60.000 vacancies in Germany alone by mid-2022. The annual gross salaries are between 45,000 and 100,000 euros.

As a DATA ANALYST or DATA ENGINEER you can

be employed or freelance in the office or home office, in Germany or worldwide.

   A SPECIAL PROGRAM DESIGNED FOR WOMEN RETURNER AND CAREER CHANGERS


For the profession, it is (almost) completely irrelevant whether you are a woman, a man or something else. There are two differences: You bring different experiences than men. This is important in this technology. But even if some things have improved, there are still biases towards women in tech.


We object: Mind set, networking, personal branding, negotiation, portfolio building ... get rid of the scissors in your own head ... With a good education and our additional features you will find your place as a DATA ANALYST & DATA ENGINEER
This program is specially designed for women who
  • want to return to work after  a career break
  • unemployed or planning to change field / job
  • have to reskill because the current job is in jeopardy
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ETHICS & DATA ANALYST, ETHICS&DATA ENGINEER

Let's make it clear that in most projects, DATA ANALYTICS & DATA TECHNICIANS don't even come into contact with sensitive data for people. Nevertheless, this remains an important issue. Dealing with data affects our lives in some areas of society. Here in particular we have to be sensitive to it. The Women AI Academy now belongs to ETHOS AI Training & Consultancy GmbH, a company that specializes in the certification of software according to ethical criteria. We have these criteria in mind and will also sharpen your focus on them


PROGRAMM CONTENT

Fullday or halfday programs will cover the following subject matters. Depending on the "market needs" we might modify the syllabus.

Week-1 (1&2)
  • Introduction to AI
  • Maths & Calculus
  • Statistics for Data Sci.
  • Week-2 (3&4)
  • Operating Systems
  • Big Data
  • Cloud Computing
  • Working with Github
  • Week-3 (5&6)
  • Python for Data Science
  • Week-4 (7&8)
  • Python for Data Science
  • Week-5 (9&10)
  • Introduction to Data Analytics
  • Relational Database
  • SQL / NoSQL
  • Querying, jQuery,
  • Matlab
  • Week-6 (11&12)
  • MS Excel
  • Power BI
  • Tableau
  • Week-7 (13&14)
  • Dashboarding
  • Data Visualisation
  • Week-8 (15&16)
  • Data Warehousing
  • Project Reviews
  • Program Closure
  • Week-9 (17&18)
  • Spark
  • Java
  • Hadoop
  • Hive
  • Scala
  • Week-10 (19)
  • DevOPS
  • Week-11 (20)
  • Redshift
  • Azure
  • Apache
  • Week-12 (21&22)
  • Machine Learning
  • Project Reviews
  • Program Closure
  • Week-13 (23)
  • AI Project Man.
  • Problem solving
  • Communication &
  •       Collaboration
    Week-14 (24)
  • Project portfolio
  • Application
  • Meet&Greet with
  •       selected Employers

    HOW IT WORKS

    All Courses are online. We don't have video courses. All lessons take place in the virtual classroom. You will learn new things every day with the lecturer and practice what you have learned with mentors. There is a lot of practical work. If required, you can even get personal mentoring hours.

    You will join other like-minded participants on a variety learn from tools, exchange ideas and network.

    You feel like you are among sisters. All share a similar background but also similar visions and perspectives.

    The academy management does everything possible to ensure that no one is left behind and can achieve their learning goals.


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    What should you do beforehand?

    1. It is best to register with us and at the same time with the authorities that can issue you with an education voucher.

    2. Find out more about our offer and ask whether you can basically apply for an education voucher.

    3. You then go through a three-stage discussion in which we want to get to know your interests, wishes, goals and your previous career, develop a career plan and

    4. check your technical requirements (computer, network connection, etc.).

    Alternatively, you can also participate without an education voucher.


    Daily live-learning sessions
    • Working days from 9:00 am to 5:00 pm for full day program and 9:00 am to 12:30 pm for half day program. We will pffer evening / weekend practice sessions on demand.

    • 50% knowledge acquisition and 50% practice units
    • Sufficient breaks
    • Mentors are available around the clock (!) for questions outside of our office hours
    Practical Projects
    • Depending on the level of competence and other preferences, we offer projects in which what has been learned can be put into practice
    • At the end of the program the participants have at least 2 projects in their portfolio
    Certificate

    At the end there is a certificate of participation from the Women AI Academy, which you can use to apply at any time.

    If necessary, after our course you will be able to acquire the following certifications, which are only carried out by the respective companies and organizations:



    Python Certification:
    PCEP-30-xx oder PCEP-31-xx

    Google Certification:
    Google Data Analytics Certificate

    IBM Certification:
    IBM Data Analyst Professional Certificate
    IBM Data Engineering Professional Certificate  

    Microsoft Certification:
    Microsoft Certified: Data Analyst Associate
    Microsoft Certified: Azure Data Engineer Associate

    NEXT STEPS

    Ready for career relaunch?

    Learn more on an  Info-Webinar?
    Need to read more

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