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Introduction into AI

This course can no longer be booked.

Available Online

Learn the basics, and have a clear learning path to become and expert

Ended
200 Euro
Remote

Service Description

Course Title: One-Day AI Mastery: From Basics to Advanced Insights Course Summary: Jumpstart your AI journey with our intensive one-day crash course designed by an industry-leading AI expert. This course is meticulously crafted to guide beginners through the essentials of artificial intelligence, culminating in advanced concepts and practical applications. Whether you're a professional seeking to integrate AI into your business, a developer eager to expand your technical repertoire, or a curious learner, this course will equip you with the knowledge and skills you need to start leveraging AI effectively. Target Audience: Professionals seeking to understand and apply AI in their industries. Developers and tech enthusiasts looking to enhance their programming skills with AI technologies. Students and academic researchers interested in AI. Course Outline: Session 1: Introduction to Artificial Intelligence Overview of AI and its evolution. Understanding AI, machine learning, and deep learning: Definitions and distinctions. Key milestones in AI development. Session 2: Fundamentals of Machine Learning Types of machine learning: Supervised, unsupervised, and reinforcement learning. Algorithms and models basics. Data preprocessing and feature engineering. Session 3: Deep Dive into Deep Learning Neural networks: Architecture and functioning. Key architectures: CNNs, RNNs, and Transformers. Applications of deep learning in real-world scenarios. Session 4: AI in Practice Case studies: Successful AI implementations across various sectors (e.g., healthcare, finance, automotive). Introduction to AI tools and libraries (e.g., TensorFlow, PyTorch). Session 5: Ethical Considerations and Future of AI Ethical AI use: Bias, privacy, and security. Predictions for AI and emerging trends. Session 6: Hands-On Workshop Implementing a simple machine learning model. Experimenting with pre-trained deep learning models. Q&A and troubleshooting session with the expert. Learning Outcomes: Grasp the basic concepts and advanced theories of artificial intelligence. Gain practical experience with popular AI tools and libraries. Understand the impact of AI technologies in various industries and their future potential. Recognise the ethical considerations in AI applications.


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