by TEKTA.AI
by Amazon Web Services
Comprehensive certification program covering AWS machine learning services, model deployment, and MLOps practices for cloud-based AI solutions.
by Stanford University
Stanford's flagship machine learning course covering supervised learning, unsupervised learning, and deep learning fundamentals with hands-on programming assignments.
by Harvard University
Harvard's comprehensive introduction to AI concepts and algorithms, covering search, knowledge, uncertainty, optimization, learning, neural networks, and language.
by Coursera (DeepLearning.AI)
Master deep learning fundamentals through this comprehensive 5-course specialization covering neural networks, hyperparameter tuning, CNNs, RNNs, and transformers.
by IBM
Professional specialization covering machine learning, deep learning, and AI engineering with hands-on projects using IBM Watson and open-source tools.
by MIT
MIT's comprehensive deep learning course covering neural networks, CNNs, RNNs, GANs, and reinforcement learning with cutting-edge research insights.
by Google AI Education
Google's fast-paced, practical introduction to machine learning featuring TensorFlow APIs, real Google case studies, and hands-on exercises.
by Udacity
Industry-focused program combining supervised learning, unsupervised learning, and deep learning with real-world capstone projects mentored by industry experts.
by Fast.ai
Fast.ai's top-down approach to deep learning focusing on practical applications first, then diving into theory. Build real applications from day one.
by OpenAI
Comprehensive guide to prompt engineering for large language models, covering techniques, best practices, and advanced strategies for GPT and other LLMs.
