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IBM: Generative AI for Everyone Duration: 4-8 hours Overview: Learn foundational AI concepts like Machine Learning and Neural Networks, alongside ethical considerations and career advice. Ideal for beginners. Link: IBM Generative AI Course
Introduction to AI for Business Users Duration: About 2 hours Overview: Specifically tailored for Microsoft 365 users, focusing on leveraging AI in business applications such as report generation and data insights. Link: Microsoft AI Course
Stanford: Machine Learning Specialization Duration: 80 hours Overview: A comprehensive series by Andrew Ng covering machine learning essentials, including supervised/unsupervised learning and model evaluation. Link: Stanford Machine Learning Specialization
HarvardX: CS50’s Introduction to Artificial Intelligence with Python Duration: 70-210 hours Overview: Dive deep into AI with Python, exploring topics like graph search algorithms, Bayesian networks, and more, suited for those with coding experience. Link: HarvardX AI with Python Course
LinkedIn: How to Research and Write Using Generative AI Tools Duration: 5 hours Overview: Focuses on practical skills using generative AI for research and writing tasks, leveraging tools like ChatGPT effectively. Link: LinkedIn AI Tools Course
Self-paced Learning Flexibility: All courses allow self-paced learning, accommodating varied schedules and learning speeds.
Certification and Recognition Completion: Earn certificates or badges upon course completion, enhancing your resume and professional profile.
Multilingual Support Accessibility: Courses offer subtitles in multiple languages, including Deutsch, Español, Français, and Português, widening accessibility.
No Cost, High Quality – Affordability: These courses are entirely free, ensuring high-quality education accessible to anyone interested in AI.
Career Enhancement – Advancement: Whether you're starting a career in AI or enhancing existing skills, these courses provide valuable knowledge and practical applications.