Notes and previous questions which helped me pass the AI-900 exam on the first attempt, for free. Includes cram and preparation strategies.
Contains practise questions for the Azure AI-900 Exam from Microsoft and myself
Practice questions for the Azure AI-900 exam that helped me pass first time.
A Repository created to help people prepare for the Microsoft AI-900 Exam. Details are correct for December 2020, as I prepare for an exam in January 2021 - I make no promises for the lifecycle of this repository at this time
Repositorio colaborativo de estudiantes del programa AI Fundamentals de Guayerd x IBM. Clases, ejercicios y respuestas organizadas por sprints.
🧠 Various Artificial Intelligence (AI) programs for solving problems, searching and pattern finding.
GCP + AI Fundamentals notes from Universidad Austral 1C 2026
A collection of AI projects for the AI Fundamentals course at the University of Isfahan, covering search algorithms, machine learning, reinforcement learning, and logic-based inference, including Pacman search, flood prediction, Q-learning, Minimax, and MDP-based decision-making.
Pacman Projects 1,2,3 of Brekley course cs188. These are 3 of 4 code assignments I was assigned in my Junior year in the course "AI" (YS02) at the University of Athens.
End-to-end portfolio for the Microsoft AI-900 Azure AI Fundamentals certification - exploring machine learning basics, computer vision, natural language processing, and responsible AI concepts. Practical demonstrations of Azure AI services with code examples and learning insights.
I created this repository to help you prepare for the AI-900 exam. Unlike other exams, this one is rather simple as long as you understand the content covered in the official
Coursework, assignments, and quizzes from the PIAIC AI Engineering program (Batch 67) — Python fundamentals, RNN modeling, and machine learning foundations.
This repo is my personal space for learning and exploring Artificial Intelligence (AI)—from the basics to mid-level concepts. I'll be adding code as I progress. I’m a self-taught learner, picking up concepts from various resources that make the most sense to me, without following any specific guide or curriculum.
Understand how common AI chats learn language patterns, use current messages, build replies, and add sources and tools. Interactive course by AILesson.
Learn ChatGPT through three practical workflows: complete a first chat, work from a file, then use Projects to carry a checked plan into a new chat. Interactive course by AILesson.
Aplicación web interactiva sobre fundamentos de IA con asistente de preguntas integrado — Python, Gradio y Google Colab
A collection of AI projects for the AI Fundamentals course at the University of Isfahan, covering search algorithms, linear regression, reinforcement learning, and logic-based inference, Q-learning, Minimax, and MDP-based decision-making.
Artificial Intelligence project applying blind search algorithms (BFS, DFS) to the Pacman problem, focusing on state space modeling, transition operators, and algorithmic traversal in Python (Artificial Intelligence, UNIWA).
Start a useful AI conversation, make the answer better, check what matters, and know when the next move is yours. Interactive course by AILesson.
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