KI Kurse & Zertifikate 2026

Diese Seite bündelt ausgewählte AI- und KI-Online-Kurse, Zertifikate und Executive-Programme im Stil der bestehenden KAI-Servicewelt. Sie ist als Orientierungsseite gedacht: Was kostet ein Kurs ungefähr, wie lange dauert er, welche Themen stehen im Mittelpunkt und für welche Zielgruppe ist er sinnvoll?

Hinweis: Preise und Kursstrukturen können sich ändern. Die Übersicht dient als kuratierter Startpunkt für Recherche und Auswahl. Für die verbindliche Buchung gilt immer die jeweilige offizielle Anbieter-Seite.

Wofür diese Übersicht gedacht ist

Die Kurse lassen sich grob in vier Nutzungssituationen einteilen: schneller Einstieg ohne Technikkenntnisse, strukturierter Fachaufbau für Praktiker, berufsbezogene Zertifizierungen für Cloud- und Plattformumgebungen sowie Executive-Programme für Strategie, Governance und Organisation.

Ausgewählte Kurse

Stand 2026

Mit Beginner-Anteil

auch für Einstieg geeignet

Advanced / Graduate

für tieferen Fachaufbau

Executive-Programme

für Führung und Strategie

Wie man die Kursliste sinnvoll nutzt

Wer neu in KI einsteigt, sollte zuerst nach Niveau und Dauer filtern und nicht nach Prestige. Für operative Teams ist meist ein klarer Lernpfad wichtiger als ein teures Zertifikat. Für Unternehmen kann die Seite außerdem als Gesprächsgrundlage dienen: Welche Lernpfade eignen sich für Produkt, Technik, Management oder Governance?

Für Einsteiger

Starte mit kurzen oder nichttechnischen Formaten wie AI For Everyone, Google AI Essentials oder DataCamp AI Fundamentals. Ziel ist Verständnis für Begriffe, Chancen, Risiken und typische Einsatzfelder.

Für Praktiker

Wenn du Modelle bauen oder mit LLMs, Cloud-AI oder MLOps arbeiten willst, sind Spezialisierungen wie Machine Learning Specialization, Deep Learning Specialization, IBM AI Engineering oder Azure AI-102 sinnvoller.

Für Management & Governance

Wenn die Aufgabe eher in Strategie, Integration, Risiko, Ethik und Organisation liegt, sind AI for Business Leaders, AI Ethics & Responsible Innovation oder AI Product Management meist passender als ein rein technischer Kurs.

Ausgewählte AI- und KI-Kurse 2026

Die Tabelle ist als Arbeitsübersicht gedacht. Das Niveau ist direkt in die Kurs-Spalte integriert, damit der Bereich „Key Content / Syllabus“ mehr Platz bekommt und leichter lesbar bleibt.

#	Kurs / Zertifizierung	Anbieter	Direktlink / Einstieg	Preis (2026)	Dauer	Key Content / Syllabus
1	Intermediate Advanced Generative AI Engineering	DeepLearning.AI / Coursera	Coursera (search "Generative AI")	~$49–$59/mo	Self-paced	Diffusion models, advanced LLM fine-tuning, prompt engineering, building and deploying generative applications.
2	Beginner–Intermediate Machine Learning Specialization	Stanford / DeepLearning.AI	Stanford Online	Free audit; ~$49–$59/mo cert	~2–3 months (100 hrs)	Supervised ML, neural networks, tree ensembles, unsupervised learning, recommender systems, anomaly detection, collaborative filtering, reinforcement learning.
3	Executive AI for Business Leaders	MIT Sloan	MIT Executive Education	~$3,200–$3,500	~6–8 weeks	Machine learning, NLP, generative AI, robotics, business strategy implications, workforce transformation, organizational integration, case studies and project work.
4	Advanced Reinforcement Learning Nanodegree	Udacity	Udacity	$249/mo or $846/4-mo	~3–4 months	Navigation, continuous control, collaboration and competition, deep RL algorithms, OpenAI Gym, PyTorch, policy optimization.
5	Advanced Google Cloud AI Engineer Professional	Google Cloud	Google Cloud Certifications	Exam: $200	Self-paced (3–5 months prep)	Low-code AI, data and model management, distributed training, TPU/GPU use, fine-tuning, service expansion, pipeline automation, monitoring, responsible AI.
6	Intermediate–Advanced Full Stack Deep Learning Bootcamp	Full Stack Deep Learning	fullstackdeeplearning.com	~$500–$2,000	~8–12 weeks	CNNs, transformers, PyTorch Lightning, experiment management, data management, deployment, continual learning, monitoring and feedback loops.
7	Graduate Robotics and AI MicroMasters	UPenn / edX	edX Robotics MicroMasters	~$1,260 full program	~8–12 months	Aerial robotics, motion planning, mobility, perception, estimation and learning, capstone with robot programming.
8	Executive AI in Healthcare Specialization	Harvard	Harvard Executive Education	$2,600–$5,150	2–8 weeks	AI applications in healthcare, ML fundamentals, clinical decision support, ethics, implementation in clinical practice and leadership modules.
9	Intermediate Applied NLP with Large Language Models	edX	edX (search "NLP Large Language Models")	~$50–$300/course	Self-paced	Intro to NLP, deep semantic similarity, NLU, deep RL in NLP, multimodal vision-language intelligence.
10	Executive AI Ethics & Responsible Innovation	Oxford	Oxford Executive Education	~£2,500–£4,000	~6 weeks	AI ethics, regulation and compliance, EU AI Act, bias, discrimination, governance, audits and trustworthy AI embedding.
11	Intermediate Deep Learning Specialization	DeepLearning.AI / Coursera	Coursera	~$49–$59/mo	~3–6 months	Neural networks, optimization, regularization, structuring ML projects, CNNs, sequence models and NLP.
12	Beginner (Non-technical) AI For Everyone	DeepLearning.AI / Coursera	Coursera	$49	~6 hours	What is AI, building AI projects, AI in your company, AI and society. No coding required.
13	Intermediate IBM AI Engineering Professional Certificate	IBM / Coursera	Coursera	$59/mo	~4 months	Python, NumPy, Pandas, scikit-learn, XGBoost, PyTorch, TensorFlow, Keras, Hugging Face, LangChain, FAISS, ChromaDB, LLM applications.
14	Beginner AWS Certified AI Practitioner	AWS	AWS Training	$100 exam	Self-paced (2–4 weeks)	AI and ML fundamentals, generative AI, foundation model applications, responsible AI, security, compliance and governance.
15	Associate Azure AI Engineer Associate (AI-102)	Microsoft	Microsoft Learn	~$165 exam	Self-paced	Azure AI solutions, computer vision, NLP, conversational AI, knowledge mining, search and generative AI.
16	Beginner DataCamp AI Fundamentals	DataCamp	DataCamp	$28/mo (annual)	~1 hour exam	AI concepts, ML basics, deep learning overview, generative AI introduction and coding exercises in Python.
17	Advanced MIT Professional Certificate in ML & AI	MIT	MIT Professional Education	From $2,500/course + $325 cert fee	16+ days (within 36 months)	Core ML for big data and text processing, plus electives in CV, RL, AI strategy, ethics, healthcare and computational design.
18	Graduate Stanford AI Graduate Certificate	Stanford	Stanford Online	From $20,470	1–2 years	Machine learning, deep generative models, deep learning, graphs, self-improving agents, robotics, RL, large-scale data and AI measurement science.
19	Beginner Google AI Essentials	Google / Coursera	Coursera (search "Google AI Essentials")	Free	Self-paced	AI fundamentals, generative AI tools, productivity with AI, responsible AI use and workplace applications.
20	Intermediate AI Product Management Specialization	Duke / Coursera	Coursera	$59/mo	~4 months (12 weeks)	ML foundations for PMs, managing ML projects, CRISP-DM, pipelines, human factors in AI, UX, privacy, ethics and bias mitigation.
21	Beginner Master Deep Learning	Udacity	Udacity	k. A.	50 hours	Master deep learning with hands-on projects. Build neural networks, CNNs, RNNs, and GANs with PyTorch for real-world AI applications.
22	Beginner Master Deep Learning	Udacity	Udacity	k. A.	50 hours	Master deep learning with hands-on projects. Build neural networks, CNNs, RNNs, and GANs with PyTorch for real-world AI applications.
23	Beginner AWS Machine Learning Engineering Training Course	Udacity	Udacity	k. A.	94 hours	Become an AWS Machine Learning Engineer. Learn machine learning techniques and algorithms to take your career to the next level with Udacitys online course.
24	Advanced Machine learning courses online from MIT and IBM	edX	edX	k. A.	Self-paced / k. A.	Learn machine learning and generative AI with online courses from MIT, Stanford & IBM. Master neural networks, Python & LLMs through machine learning concepts.
25	Advanced Large Language Models	Coursera	Coursera	Free	4 Stunden	Angeboten von H2O.ai. Master Advanced LLM Techniques With H2O.ai Tools. Learn to develop, fine-tune, and optimize large language models ... Kostenlos anmelden.
26	k. A. Learn Generative AI with LLMs	Coursera	Coursera	Free	4 months	Angeboten von Edureka. Advance your AI skills with hands-on training in Generative AI with Large Language Models (LLMs). . Learn prompt ... Kostenlos anmelden.
27	Beginner AWS Artificial Intelligence Practitioner	Coursera	Coursera	Free	8 Stunden	Angeboten von Amazon Web Services. This comprehensive learning plan is designed to equip you with the essential knowledge and skills to ... Kostenlos anmelden.
28	Beginner Applied Generative AI Engineering	Udacity	Udacity	k. A.	56 hours	Move beyond basics to build reliable enterprise-grade AI. Master foundation model-fine tuning, RAG, cost-effective prompt engineering, and multimodal solutions.
29	Beginner Intro to Generative AI \| Gen AI Fluency Training	Udacity	Udacity	k. A.	7 hours	Embark on your Generative AI journey with Udacity. Learn the essentials of Gen AI, LLM, text generation, AI production, and more. Join our intro course today!
30	Beginner Deep Reinforcement Learning Online Course	Udacity	Udacity	k. A.	83 hours	Learn the deep reinforcement learning skills that are powering amazing advances in AI & start applying these to applications. Learn online with Udacity.
31	Beginner Master Large Language Models (LLMs) Concepts Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
32	Beginner Generative AI with AWS	Udacity	Udacity	k. A.	12 hours	Learn the fundamentals, historical context, and real-world applications of Generative AI in this online course. Explore AI and ML foundations, transformer-based architectures, and ethical deployment. Enroll today!
33	Advanced Take machine learning courses online	edX	edX AI Learn	k. A.	Self-paced / k. A.	Earn a certificate in AI and machine learning online. Learn generative AI, Python, and natural language processing to develop in-demand skills.
34	k. A. Take machine learning courses online	edX	edX	k. A.	Self-paced / k. A.	Earn a certificate in AI and machine learning online. Learn generative AI, Python, and natural language processing to develop in-demand skills.
35	Beginner Course AB-731T00-A: Drive AI transformation in your organization - Training	Microsoft Learn	Microsoft Learn	k. A.	Self-paced / k. A.	Course AB-731T00-A: Drive AI transformation in your organization
36	Beginner Machine Learning Courses: Learn ML & AI Online	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Build your machine learning skills with interactive courses, tracks and projects for all levels, curated by real-world experts.
37	Beginner Introduction to PyTorch \| Deep Learning	Udacity	Udacity	Free	Self-paced / k. A.	Take Udacity's free Introduction to PyTorch course and learn the basics of deep learning. Implement your own deep neural networks with PyTorch. Learn online with Udacity.
38	Beginner AI Agents 101: Foundations of AI Agents	Coursera	Coursera	Free	4 Stunden	Angeboten von LearnQuest. This course introduces beginner learners to the core ideas behind agentic AI using clear language and concrete ... Kostenlos anmelden.
39	k. A. IBM Generative AI Engineering	Coursera	Coursera	Free	6 months	Angeboten von IBM. Develop job-ready gen AI skills employers need. Build highly sought-after gen AI engineering skills and practical ... Kostenlos anmelden.
40	Advanced Machine Learning with Scikit-learn, PyTorch & Hugging Face	Coursera	Coursera	Free	5 months	Angeboten von Coursera. Advance Your Career in Machine Learning. Learn ML, Deep Learning & GenAI by building real-world solutions with ... Kostenlos anmelden.
41	Beginner Course AI-901T00-A: Introduction to AI in Azure - Training	Microsoft Learn	Microsoft Learn	k. A.	Self-paced / k. A.	Course AI-901T00-A: Introduction to AI in Azure
42	Beginner Best Free Courses & Certificates [2026]	Coursera	Coursera	Free	Self-paced / k. A.	Free courses can help you learn coding languages like Python and JavaScript, data analysis techniques, and web development fundamentals. Compare course options to find what fits your goals. Enroll for free.
43	Beginner Generative AI Engineering with LLMs	Coursera	Coursera	Free	3 months	Angeboten von IBM. Advance your ML career with Gen AI and LLMs . Master the essentials of Gen AI engineering and large language models ... Kostenlos anmelden.
44	Beginner Fundamentals of Machine Learning and Artificial Intelligence	Coursera	Coursera	Free	Self-paced / k. A.	Angeboten von Amazon Web Services. In this course, you will learn about the foundations of machine learning (ML) and artificial ... Kostenlos anmelden.
45	Beginner Natural Language Processing Course	Udacity	Udacity	k. A.	53 hours	Take Udacity's Natural Language Processing course and master the skills to get computers to understand and manipulate human language. Build models and get hands-on experience.
46	Beginner Google Cloud Introduction to Generative AI Course	Udacity	Udacity	Free	Self-paced / k. A.	Take Udacity's free Cloud Introduction to Generative AI Course by Google and learn what Generative AI is, Generative AI is, how it's used, and how it differs from traditional machine learning methods.
47	Beginner Microsoft Certified Azure AI Engineer Associate AI-102	Coursera	Coursera	Free	6 Stunden	Angeboten von Packt. This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you ... Kostenlos anmelden.
48	Beginner Introduction to Artificial Intelligence	Udacity	Udacity	Free	Self-paced / k. A.	Take Udacity's Introduction to Artificial Intelligence course and master the basics of AI. Topics include machine learning, probabilistic reasoning, robotics and more.
49	Executive Online generative AI courses and programs	edX	edX AI Learn	k. A.	Self-paced / k. A.	Learn generative AI from IBM, Georgia Tech, and more on edX. Explore GenAI courses for business, data science, and software development.
50	Beginner Introduction to Pytorch Machine Learning	Udacity	Udacity	k. A.	49 hours	Take Udacity's Introduction to Pytorch Machine Learning course and learn foundational machine learning algorithms, starting with data cleaning and supervised models.
51	Beginner Introduction to Deep Learning in PyTorch Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
52	Beginner Prompt Engineering Course: Learn AI Prompting Skills Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Master prompt engineering with hands-on exercises. Learn to write effective prompts for ChatGPT, Claude, and other AI tools. Beginner-friendly.
53	Beginner Generative AI Course: Learn Gen AI Concepts & Tools Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Master generative AI from fundamentals to practical applications. Learn how LLMs, diffusion models, and prompt engineering work.
54	Beginner Prompt Engineering with the OpenAI API \| Write Effective Prompts Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
55	Beginner Agentic AI Course: Introduction to AI Agents Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Discover how AI agents work, what sets them apart from chatbots and automation, and how to use them responsibly—no coding required.
56	Beginner AI Ethics Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
57	Beginner Introduction to Natural Language Processing in R Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Discover basics skills and tools for natural language processing (NLP) in R, like regular expressions, topic modeling, named entity recognition and more.
58	Beginner Developing LLM Applications with LangChain Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
59	Beginner Machine Learning with scikit-learn Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
60	Beginner Deep Learning for Images with PyTorch Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
61	Beginner Reinforcement Learning with Gymnasium in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
62	Beginner Machine Learning for Time Series Data in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	This course focuses on feature engineering and machine learning for time series data.
63	Beginner Introduction to LLMs in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
64	Beginner Monitoring Machine Learning in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	This course covers everything you need to know to build a basic machine learning monitoring system in Python
65	Beginner Machine Learning with caret in R Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for performance, and how to preprocess data
66	Beginner Machine Learning Monitoring Concepts Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
67	Beginner AI for Beginners: AI Course for Beginners, Start for Free Course	DataCamp	DataCamp	Free	Self-paced / k. A.	New to AI? Start here. This beginner-friendly course covers core AI concepts, hands-on tools, and real-world applications. No prerequisites needed.
68	Beginner Understanding Machine Learning Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	This two-hour introduction to machine learning course teaches the essential ML concepts. Topics include machine learning vocabulary, models, and deep learning.
69	Beginner Machine Learning for Business Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Understand the fundamentals of Machine Learning and how it's applied in the business world.
70	Beginner Unsupervised Learning in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
71	Beginner Machine Learning with Tree-Based Models in Python Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
72	Beginner Natural Language Processing with spaCy Course \| Master Core Operations and Train Models Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
73	Beginner Python Machine Learning, Curated ML Fundamentals Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Master Python machine learning with this curated ML fundamentals course. Learn the science of prediction, pattern recognition, and deep learning.
74	Beginner Python for Machine Learning & Data Science Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Take this Python for machine learning and data science course. Discover ML techniques and explore supervised and deep learning to become a scientist.
75	Beginner Machine Learning Scientist in R	DataCamp	DataCamp	k. A.	Self-paced / k. A.	A machine learning scientist researches new approaches and builds machine learning models.
76	Beginner CI/CD for Machine Learning Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
77	Beginner Machine Learning with PySpark Course	DataCamp	DataCamp	k. A.	Self-paced / k. A.	Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
78	Beginner Data, AI, and Cloud Courses	DataCamp	DataCamp	Free	Self-paced / k. A.	Choose from 739 interactive courses. Complete hands-on exercises and follow short videos from expert instructors. Start learning for free and grow your skills!
79	Beginner Quick Start Guide to Large Language Models (LLMs)	Coursera	Coursera	Free	4 Wochen	Angeboten von Pearson. Master Prompt Engineering and LLM Tools. Use and launch LLMs like GPT, Llama, T5, and BERT at scale through ... Kostenlos anmelden.
80	Beginner Generative KI mit groÃen Sprachmodellen	Coursera	Coursera	Free	2 Wochen	In Generative AI with Large Language Models (LLMs) lernen Sie die Grundlagen der generativen KI und wie Sie sie in realen Anwendungen ... Kostenlos anmelden.
81	Beginner Deep Learning Specialization	DeepLearning.AI	DeepLearning.AI	k. A.	self-paced	Build neural networks (CNNs, RNNs, LSTMs, Transformers) and apply them to speech recognition, NLP, and more using Python and TensorFlow.
82	Beginner Python Machine Learning By Example	Coursera	Coursera	Free	3 Wochen	Angeboten von Packt. Machine learning is one of the most sought-after skills in todayâs data-driven world, and this course provides the ... Kostenlos anmelden.
83	Advanced Machine Learning and Deep Learning for Software Engineers	Coursera	Coursera	Free	4 Wochen	Angeboten von Board Infinity . Deploy Machine Learning in Production Software. Build, Serve, and Maintain ML-Powered APIs with CI/CD ... Kostenlos anmelden.
84	Executive Generative AI Leader	Coursera	Coursera	Free	8 Stunden	Angeboten von Google Cloud. Reimagine Workflows with Google Cloud Gen AI Kostenlos anmelden.
85	Advanced Become a Computer Vision Expert	Udacity	Udacity	k. A.	37 hours	Become a computer vision expert and master the computer vision skills behind advances in robotics and automation. Learn online with Udacity.
86	Beginner Develop AI apps using Azure services	Microsoft Learn	Microsoft Learn	k. A.	Self-paced / k. A.	Get started developing generative AI capabilities into your applications.
87	Beginner Learn to Build, Train, and Deploy Machine Learning Models	Udacity	Udacity	k. A.	Self-paced / k. A.	Master foundational machine learning concepts, model training, and deployment with these comprehensive courses featuring hands-on projects and expert guidance.
88	Advanced Machine Learning for Data Science: Machine Learning Devops	Udacity	Udacity	k. A.	63 hours	Master Machine Learning for Data Science and Analytics with Udacity's comprehensive machine learning devops (MLOPs) course. Learn online with Udacity.
89	Beginner Machine Learning with TensorFlow \| Intro to TensorFlow	Udacity	Udacity	k. A.	49 hours	Master foundational machine learning techniques with TensorFlow - from data manipulation to unsupervised and supervised algorithms. Learn online with Udacity.
90	Beginner Generative AI & Large Language Model Courses with Real-World Applications	Udacity	Udacity	k. A.	Self-paced / k. A.	Learn how integrating Generative AI concepts and Large Language Models (LLMs) creates stronger, innovative, and smarter AI solutions.
91	Beginner Foundations of Artificial Intelligence	Coursera	Coursera	Free	6 Stunden	Angeboten von John Wiley & Sons. This course introduces learners to the core principles of artificial intelligence, including its ... Kostenlos anmelden.
92	Advanced Generative AI Automation	Coursera	Coursera	Free	4 Wochen	Angeboten von Vanderbilt University. Generative AI Mastery: Automate with ChatGPT. Learn to perform complex tasks effortlessly using the ... Kostenlos anmelden.
93	k. A. Artificial intelligence courses online	edX	edX AI Learn	k. A.	Self-paced / k. A.	Explore AI courses from Harvard, MIT, and IBM on edX. Learn machine learning, generative AI, and more.
94	Beginner Master the Basics of Generative AI	Udacity	Udacity	k. A.	21 hours	Explore the fundamentals of Generative AI. Learn how models are built, how they work, and how to apply them effectively.
95	Beginner AI and Machine Learning Essentials with Python	Coursera	Coursera	Free	4 months	Angeboten von University of Pennsylvania. Explore AI and Machine Learning. Go further with your Python skills while exploring the ... Kostenlos anmelden.
96	Beginner Machine Learning & Artificial Intelligence Basics	Udacity	Udacity	Free	Self-paced / k. A.	Take our Machine Learning and Artificial Intelligence Basics course and learn foundational ML and AI concepts including how they work and how to use them to solve problems.

Zur kompakten Kursliste zurück.

Key Content Notes

Die folgenden Hinweise ergänzen die Tabelle und heben Besonderheiten einzelner Programme hervor, die für Auswahl, Planung und Vergleich wichtig sind.

Stanford ML Specialization is the gold-standard foundational program with 4.9/5 rating and 4.8M+ learners, taught by Andrew Ng.
MIT Professional Certificate requires completing 16 days of courses within 36 months, with a $325 application fee.
Google Cloud AI Engineer exam is 2 hours, 50–60 questions, ~70–80% passing score, valid for 2 years.
AWS AI Practitioner is 90 minutes, 65 questions, and serves as a gateway to ML Engineer (Associate) and GenAI Developer (Professional) certifications.
Azure AI-102 covers Microsoft Foundry Services, Azure OpenAI, RAG patterns, agentic solutions, and document intelligence.

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Praktische Lesehilfe

Damit die Übersicht im Alltag nützlich bleibt, helfen drei einfache Fragen: Brauche ich einen konzeptionellen Einstieg, will ich operative Modell- oder Plattformkompetenz aufbauen, oder geht es um Strategie und Verantwortung? Wer diese Frage vorher klärt, spart viel Zeit bei der Kursauswahl.

Wenn du Grundlagen suchst

Achte auf niedrige Einstiegshürde, kurze Dauer und klare Begriffserklärungen. Gute Kandidaten sind kurze Coursera-, DataCamp- oder Google-Formate.

Wenn du produktiv arbeiten willst

Achte auf Hands-on-Inhalte wie Python, TensorFlow, PyTorch, LangChain, Vektordatenbanken, Cloud-Dienste, CI/CD oder Monitoring.

Wenn du für Unternehmen auswählst

Betrachte zusätzlich Governance, Responsible AI, Datenschutz, Zertifikatswert, Skalierbarkeit des Lernpfads und Eignung für verschiedene Rollen im Team.