Ninja da Inteligência Artificial

Become an AI Ninja: Master Artificial Intelligence & Machine Learning

Ready to unlock the power of Artificial Intelligence (AI) and Machine Learning (ML)? This course is designed for anyone eager to grasp AI concepts, methods, functions, and definitions in a clear, fast, and practical way – empowering you to become an AI Ninja!

This straightforward, no-nonsense course focuses on how to progress, learn, and even teach the fundamentals of AI and ML to tackle real-world challenges. We'll start with the basics and gradually build your knowledge, blending theory with practical applications relevant to a data scientist's daily work. You'll progress at a comfortable pace, ensuring a solid understanding every step of the way.

Gain a strong foundation for the rapidly growing data science job market. Demand for skilled professionals is soaring, and this course equips you with the necessary expertise to excel in this exciting field.

Course Description:

• Section 1: Course Overview: A detailed look at what you'll learn and achieve.
• Section 2: Understanding Artificial Intelligence (AI): Demystifying AI – what it is and how it works.
• Section 3: Exploring Machine Learning (ML): Delving into the core principles of Machine Learning.
• Section 4: Training & Testing Data: Learn the crucial difference between training and testing datasets for model development.
• Section 5: Overfitting & Underfitting: Master techniques to avoid common pitfalls in machine learning model building.
• Section 6: Machine Learning Workflow: A step-by-step guide to the machine learning process.
• Section 7: Supervised & Unsupervised Learning: Understand the two main branches of machine learning and when to apply them.
• Section 8: Classification, Regression & Clustering: Explore key ML techniques for different types of data analysis.
• Section 9: Math for AI: Essential mathematical concepts underpinning AI and ML.
• Section 10: Programming for AI: Hands-on programming skills for AI development.
• Section 11: Data Visualization in AI: Learn to effectively visualize data insights.
• Section 12: AI Applications: Discover real-world applications of AI across various industries.
• Section 13: Recommended Resources: A curated list of further learning materials.

About the Instructor:

Adelmo Rodrigues

• Data Scientist: Experienced in applying AI and ML to solve complex problems.
• Mathematician: Strong foundation in mathematical principles.
• Postgraduate in Mathematics & Physics: Deep understanding of scientific concepts.
• Data Science Consultant: Provides expert guidance to organizations leveraging data.
• Educator (10+ Years): Passionate about teaching mathematics, physics, statistics, programming, and AI/ML.