Artificial Intelligence (AI) for adults

Are you ready to explore the world of AI (Artificial Intelligence) and discover how it can enhance your personal and professional life? 

Do you want to learn the basics of AI, how it works, and its applications and implications? 

Are you ready to have a blast and push your limits with exciting AI projects and labs? 

  The satisfaction of overcoming these challenges is matchless.

If you answered yes to any of these questions, our Introductory courses for Adults are perfect for you.

 These courses are for beginners who need to gain experience in coding or robotics. 

You will learn from our friendly and experienced instructors, who will guide you through the fundamentals of AI and help you develop your skills and confidence.

AI-2000 - INTRODUCTION TO AI

Course Overview: 

This course provides a foundational understanding of Artificial Intelligence (AI), focusing on Python programming and machine learning concepts. Students will gain hands-on experience using Colab Notebooks and explore real-world applications of AI.

Course Structure:

Module 1: Introduction to AI and Python (2 weeks)

• What is AI?      Types of AI (narrow, general, super)
• Python basics      (data types, control flow, functions)
• NumPy for      numerical computations
• Introduction to      data visualization (Matplotlib, Seaborn)

Module 2: Machine Learning Fundamentals (2 weeks)

• Supervised vs.      unsupervised learning
• Linear      regression
• Classification      (logistic regression, decision trees)
• Model      evaluation metrics
• Overfitting and      underfitting

Module 3: AI Tools and Applications (2 weeks)

• Overview of      Chat-GPT and other language models
• Utilizing AI      tools in Microsoft Edge Copilot and Google Gemini
• AI in different      industries (healthcare, finance, marketing)
• Introduction to      AI ethics and bias

Course Delivery:

• Lectures and      demonstrations
• Hands-on coding      exercises using Colab Notebooks

Enrollment:

• Start Date: September 14,      2024
• Time: 9:00 AM to      12:00 PM EST

This course seems ideal for anyone looking to dive deep into AI and machine learning, especially with its practical approach using Machine Learning  and Colab Notebooks. Are you planning to enroll?

COURSE REQUIREMENTS

Students will learn from home using a PC or laptop with either Windows 10/11 or an Apple operating system, 16 GB of RAM, and at least 40 GB of free hard drive space. A fast internet connection and headphones with a microphone are also required.

Please register using your Gmail account to access Robo-Geek Labs on our Google Drive.

Download the GoTo Meeting App for the class from the following site: 

https://meet.goto.com/install

A working knowledge of Python is necessary for all courses. 

The AI courses, AI-2000 "Introduction to AI," AI-2010 "Intermediate AI," and AI-2020 "Advanced AI," each span six weeks and have three-hour classes.

AI-2010 - Intermediate AI

Course Overview: This course aims to comprehensively understand deep learning, emphasizing practical application using TensorFlow and Colab Notebooks. Students will build a solid foundation in Python programming and delve into advanced TensorFlow techniques.

Course Structure:

Module 1: Python Fundamentals for AI (2 weeks)

• Python basics (data types, control flow, functions)
• NumPy and Pandas for data manipulation
• Object-oriented programming concepts
• Functional programming in Python

Module 2: Introduction to TensorFlow and Deep Learning (2 weeks)

• TensorFlow basics (tensors, graphs, sessions)
• Linear regression and multiple input-output linear regression
• Deep neural networks
• Convolutional neural networks 

Module 3: Machine Learning ML with TensorFlow (2 weeks)

• Keras API and       its applications
• Custom layers       and model architectures
• Model       optimization and hyperparameter tuning
• Advanced deep       learning topics (RNNs, GANs)

Course Delivery:

• Lectures and      demonstrations 
• Hands-on      coding exercises using Colab Notebooks

AI-2010 course starts on October 26, 2024 at 9:00 AM -12:00 PM EST

 AI-2020-ADVANCED AI

Course Description: Computer Vision and Natural Language Processing

 The student will require to get a Microsoft Azure Account to execute some labs.

This course offers a comprehensive exploration of computer vision and natural language processing (NLP), two fundamental areas of artificial intelligence. Students will gain a solid foundation in both fields, mastering the theoretical underpinnings and practical applications through hands-on experience with industry-leading cloud platforms.

The course begins by introducing the fundamentals of computer vision, including image processing techniques and an overview of cloud-based computer vision APIs. Building on this foundation, students will delve into advanced computer vision topics such as object detection, image segmentation, and generative models.

The second half of the course focuses on NLP, covering essential concepts, text preprocessing, and the utilization of NLP APIs. Students will explore state-of-the-art models like Recurrent Neural Networks (RNNs), Long-Short-Term Memory (LSTM), and Transformers and apply their knowledge to tasks such as sentiment analysis, text classification, and named entity recognition.

The course culminates with a deep dive into large language models (LLMs), their fine-tuning, and the ethical implications of AI. This exploration provides students with valuable insights into the latest trends and future directions in the field.

Throughout the course, we prioritize practical learning through hands-on exercises and projects using Google Cloud Vision API and Google Cloud Natural Language API. This approach ensures that by the end of the course, students will be well-prepared to apply computer vision and NLP techniques to real-world problems and contribute to the advancement of AI.

  AI-2020 course starts on December 7, 2024

AI

Artificial Intelligence Fundamentals,

AI-900 and Manufacturing

• We proudly present the book of Omar Silva-Fulchi, AI (Artificial Intelligence) Fundamentals, AI-900, and Manufacturing.
• Chapter X of this book provides a quick introduction to AI and ChatGPT.
• Chapter IV provides an excellent synopsis of new technologies in manufacturing.
• This book offers a comprehensive guide on writing CNN and Deep Learning networks for those seeking practical knowledge, making it a valuable resource across diverse chapters.
• You can buy the Kindle, softcover, and hardcover versions at the link below at Amazon.