What you'll learn
Develop a deep understanding of AI fundamentals: machine learning, neural networks, and data preprocessing, enabling clear communication of key concepts.
Gain practical skills in building & deploying AI models using TensorFlow & Keras. Learn data preprocessing, model design & deployment for real-time predictions.
Gain a clear understanding of AI workflow: from problem definition and data gathering to model training, evaluation, iteration, and improvement.
Develop skills in interpreting & communicating AI model results, evaluating performance, understanding metrics, and providing insights to stakeholders.
Requirements
Curiosity and willingness to learn: This course is designed for beginners, so no specific prior knowledge or experience is required. However, learners should have a strong desire to learn and explore the field of AI.
Recommended: Basic Python programming skills: While not mandatory, having some familiarity with Python programming will be very beneficial. Python is widely used in the AI community, and learners with prior programming experience will have an easier time grasping the concepts. However, the course will cover the necessary Python concepts as they arise, so learners can learn Python along the way.
Basic Programming skills in any programming language
Description
AI Made Easy: Hands-on Learning for BeginnersStep into the fascinating world of Artificial Intelligence (AI) with this comprehensive course designed for beginners. Whether you're a curious learner, aspiring student, or a professional seeking to explore new horizons, this course serves as your gateway to confidently build your first AI project.Your expert instructor will guide you through every step, empowering you to understand and explain the basic principles and components of a neural network, train a neural network on given data, evaluate the performance of a trained neural network, and deploy AI models for predictions on new data.Through a practical and immersive learning experience, you'll acquire a solid foundation in AI fundamentals and develop the skills to apply them in real-world scenarios. From delving into machine learning concepts to mastering the training of AI models using popular frameworks such as TensorFlow and Keras, you'll gain hands-on experience and practical insights.Join us on this exciting AI adventure, where you'll build your first AI project and gain valuable skills that will equip you to explore the boundless possibilities in the ever-evolving field of Artificial Intelligence. Unleash your potential and embark on an extraordinary journey into AI with confidence and ease.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Fundamentals of Machine Learning Explained
Section 2: Building Your First Machine Learning Model
Lecture 3 The "Hello World" of Neural Networks
Lecture 4 Class Resources - Completed 'Hello World' Solution
Section 3: Quiz
Section 4: Conclusion
Lecture 5 Closing Remarks
This introductory AI course is designed not just for software engineers looking to explore this field, but also for beginners who are eager to dive into the world of artificial intelligence. It is ideal for individuals with some very basic programming skills, including students, aspiring software engineers, and professionals from diverse backgrounds who want to explore the field. The course content is valuable for learners who seek a solid foundation in AI concepts and practical skills. Whether you are a curious learner looking to understand the fundamentals of AI, a student considering a career in AI, or a software engineer interested in expanding your knowledge, this course is tailored to meet your needs.


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