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Top 7 artificial intelligence courses 2025: Comparison of the best online programs

Jolina Ottenjann

Artificial Intelligence (AI) is no longer just on the research agenda: according to the AI Index Report 2024 by Stanford University, over $196 billion flowed into AI investments last year – a clear signal that solid AI competencies are more in demand than ever before. Those who focus on targeted continuing education now gain a competitive advantage in almost all industries. 

The following comparison presents seven German and English-language courses that provide beginners and professionals with practical training in topics such as machine learning, deep learning, and prompt engineering, ranging from free essentials to AZAV-certified bootcamps.

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Comparison criteria

An AI course should not only impart knowledge but also ensure transfer to everyday work. To evaluate the programs objectively, six categories have been defined:

  • Content – does the curriculum cover fundamentals (statistics, Python) as well as advanced topics (transformer models, generative AI)?
  • Learning format & flexibility – in-person, live online, on-demand, or blended; weekly time commitment; mobile accessibility
  • Costs & funding – transparent fees, installment models, funding opportunities such as Bildungsgutscheine
  • Certification & reputation – AZAV, ISO, university, or platform certificates and their recognition in the job market
  • Practical relevance & mentoring – hands-on projects, code reviews, 1:1 coaching, community support
  • Target audience – beginners, data scientists, executives, or specialized departments without IT background

These criteria help readers choose the course that fits both their individual learning preferences and strategic business objectives.

Comparison Table

Provider Duration Cost Certification Key Features
XDi – Certified Data Scientist (KI) 3.5+ months €7.248 AZAV-certified 1:1 mentoring, practical projects, 100% eligible for Bildungsgutschein
XDi – Certified AI Professional 2 days 1.290 € Certificate Live-Online, teaching generative AI & prompting, ethics, fairness & legal fundamentals
Springboard – Data Science Bootcamp 6 months $13.900 Springboard certificate 1:1 mentoring, curriculum
General Assembly – Online Data Analytics Bootcamp 12 weeks €10.000 General Assembly certificate Live instruction, career services, global alumni network
Ironhack – Study Data Analytics Online and Launch Your Tech Career 11 weeks €9.800 Ironhack certificate 60h prework, portfolio projects, international community
Neue Fische – Data Analytics Bootcamp 12 weeks €9.500 “Data Scientist” certificate Hybrid model, Bildungsgutschein, small groups
CareerFoundry – Data Analytics Program 6 months €6.900 CareerFoundry certificate Job guarantee, dual mentoring, flexible pace

Product/Service Comparison

1. XDi – Certified Data Scientist (KI)

The XDi Certified Data Scientist (KI) training offers an intensive online curriculum covering machine learning, generative AI, and prompt engineering. Participants develop a portfolio with real-world projects and receive weekly 1:1 mentoring from certified AI experts.

Advantages:
  • 100% eligible for Bildungsgutschein
  • Personalized coaching
  • AZAV-certified learning processes

2. XDi – Certified AI Professional

This live online seminar delivers a compact understanding of generative AI in just two days. Participants learn how to develop prompt strategies, evaluate business cases, and implement their own mini project. Mentor sessions support the practical transfer into everyday professional life.

Advantages:
  • Practice-relevant tools
  • German-language materials, state-accredited XDi certificate
  • Short duration, minimal time commitment

3. Springboard – Data Science Bootcamp

Springboard’s Data Science Career Track is a self-paced online bootcamp featuring over 500 hours of curriculum. This 6-month program combines 1:1 mentoring with a job guarantee and includes numerous mini-projects as well as two capstone projects.

Advantages:
  • Job guarantee or money-back promise
  • Customized learning plan (15–20 hours/week)
Disadvantages:
  • English-language content only
  • High monthly fees

4. General Assembly – Online Data Analytics Bootcamp

This 12-week full-time bootcamp offers comprehensive training in Python, machine learning, SQL, and business intelligence. It includes career services and access to a global alumni network of over 40,000 graduates.

Advantages:
  • Comprehensive curriculum
  • Flexible payment options
Disadvantages:
  • Higher tuition compared to other options
  • Program delivered in English

5. Ironhack – Study Data Analytics Online and Launch Your Tech Career

Ironhack’s Data Analytics Bootcamp is an 11-week intensive remote course including 60 hours of prework, Python, SQL, Tableau, and advanced AI tools.

Advantages:
  • Flexible scheduling (full-time or part-time)
  • International community with 20,000+ alumni
  • Career services available for up to 1 year post-completion
Disadvantages:
  • Fast-paced, especially full-time
  • Mainly English content

6. Neue Fische – Data Analytics Bootcamp

This 12-week program offers online or campus-based learning (Hamburg, Munich, Frankfurt) with about 540 hours of instruction and small groups (~15 students).

Advantages:
  • Bildungsgutschein eligible
  • Intensive support in small groups
Disadvantages:
  • Requires full-time commitment
  • Some instruction partly in English

7. CareerFoundry – Data Analytics Program

CareerFoundry’s flexible online program includes mentorship and a job guarantee: 96% of graduates find employment within 180 days or receive a full refund.

Advantages:
  • Job guarantee with full money-back option
  • Flexible scheduling
Disadvantages:
  • English-only content
  • High self-motivation required for eLearning

Conclusion: Recommendation and decision guide

Professional AI training represents strategic investments for data-driven decisions, process automation, and innovation culture. Beginners particularly benefit from structured offerings with personal support and practical projects. Those who already have experience can deepen their knowledge with flexible subscription models. For executives and decision-makers, compact in-person workshops offer quick insights. Regardless of which option you choose – continuous learning and practical projects are the key to keeping pace in the dynamic AI market.

Next step

Strengthen your AI competencies now with the practice-oriented course Certified Data Scientist (AI) or the Certified AI Professional. Schedule a free consultation through the contact form and check your financing options, for example through Bildungsgutschein. With XDi, you benefit from AZAV-certified curricula, personal mentoring, and flexible learning formats – so you don’t just understand AI, but use it profitably.

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