Python for AI, ML, DL, Robotics (Basics)
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Python for AI, ML, DL, and Robotics Programming Applications
Offered by the AI Agent Innovation Academy
Section 1: Introduction to Python Programming
- Getting Started with Python: Installation and setup of Python, IDEs, and tools.
- Basic Python Syntax: Understanding variables, data types, and operators.
- Control Structures: Introduction to conditionals (if, else) and loops (for, while).
- Functions and Modules: Defining functions, passing parameters, and using built-in modules.
- Data Structures: Overview of lists, tuples, dictionaries, and sets.
Section 2: Foundations of AI and Machine Learning
- Introduction to AI and ML: Understanding the concepts of artificial intelligence and machine learning.
- Data Preprocessing: Techniques for cleaning and transforming data suitable for analysis.
- Exploratory Data Analysis: Using libraries like Pandas and Matplotlib for data visualization and insights.
- Basic Machine Learning Algorithms: Overview of supervised vs unsupervised learning, and introduction to algorithms like linear regression and k-means clustering.
- Model Evaluation: Understanding metrics for evaluating model performance, such as accuracy, precision, and recall.
Section 3: Deep Learning Essentials
- Introduction to Deep Learning: Understanding neural networks and their applications.
- Frameworks for Deep Learning: Overview of TensorFlow and PyTorch for building deep learning models.
- Building Neural Networks: Step-by-step guide to constructing and training a basic neural network.
- Convolutional Neural Networks (CNNs): Introduction to CNNs for image processing tasks.
- Natural Language Processing (NLP): Basic concepts and techniques used in NLP tasks, including recurrent neural networks (RNNs).
Section 4: Robotics Programming with Python
- Overview of Robotics: Understanding the components and systems within robotics.
- Python Libraries for Robotics: Introduction to libraries like ROS (Robot Operating System) and Pygame.
- Controlling Robots: Basics of controlling motors and sensors using Python.
- Implementing AI in Robotics: Integrating machine learning algorithms into robotic applications.
- Final Project: Develop a simple robot program that performs tasks using AI and machine learning techniques.
Course Outcomes
Upon completion of this course, students will have a solid understanding of Python programming fundamentals and will be equipped to develop production-ready applications in AI, ML, DL, and Robotics. Learners will gain practical skills to create chatbots, AI agents, and various machine learning and robotic solutions using Python.
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Foundations of Artificial Intelligence Certification
$300
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What is Prerequisite coursesA prerequisite is a specific course that you must complete before you can take another course at the next grade level.
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Getting Started with PythonIn this engaging lesson, "Python Essentials: Your First Steps into Programming," students will embark on an exciting journey into the world of coding. They will learn the foundational concepts of Python, including data types, variables, and basic syntax, while gaining hands-on experience through practical exercises that reinforce their understanding. By the end of the lesson, students will be equipped with the essential skills needed to write simple Python programs and confidently take their first steps in programming. -
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Python Syntax and Data Types (Part 1)In this lesson, "Mastering Python: Understanding Syntax and Data Types," students will dive into the fundamental building blocks of Python programming. They will learn how to navigate the structure and syntax of the language while gaining a solid understanding of various data types, empowering them to write clean, efficient code and effectively manipulate data in their projects. Get ready to unlock the power of Python with essential skills that set the foundation for advanced programming concepts! -
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Python Syntax and Data Types (Part 2)
This video focuses on Python Programming: Basic Data Types in Python (Part 2) Topics discussed: 1. Boolean Data Type in Python. 2. String Data Type in Python.
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Control Structures in PythonIn this lesson, "Mastering Control Structures in Python," students will dive deep into the essential building blocks of programming by exploring conditional logic and loops. Through engaging examples and hands-on exercises, learners will develop the skills to make decisions and control the flow of their Python programs, empowering them to create more dynamic and responsive applications. Join us to unlock the power of control structures and elevate your coding proficiency!
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Basic Functions
In this lesson, "Mastering the Basics: Functions in Programming," students will dive into the essential components of programming by exploring how to create and utilize functions. By the end of the session, learners will confidently understand how to encapsulate code for better organization and reusability, paving the way for more efficient and scalable programming practices. Join us to unlock the power of structured coding!
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What is a module?
In this lesson, "Mastering the Basics: Modules in Programming," students will dive into the essential components of programming by exploring how to create and utilize modules. By the end of the session, learners will confidently understand how to encapsulate code for better organization and reusability, paving the way for more efficient and scalable programming practices. Join us to unlock the power of structured coding!
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Mastering Python Basics: A Hands-On Practice Assignment -
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Python Basics Quiz
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Introduction to Machine LearningIn "Unlocking the Future: An Introduction to Machine Learning," students will embark on an exciting journey into the world of algorithms and data-driven decision-making. They will learn the fundamental concepts of machine learning, explore real-world applications, and gain hands-on experience with basic models, empowering them to harness the power of technology in innovative ways. By the end of the lesson, students will be equipped with the essential knowledge to understand and engage with this transformative field.
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Data Preprocessing TechniquesIn this lesson, "Mastering Data Preprocessing: Essential Techniques for Clean and Effective Analysis," students will discover key techniques to transform raw data into a clean and analyzable format. Participants will learn how to handle missing values, normalize data, and implement data encoding methods, equipping them with the skills necessary to enhance the quality of their analyses and drive more accurate insights. Join us to elevate your data preprocessing skills and improve your analytical outcomes!
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Supervised vs Unsupervised LearningIn this lesson, students will explore the fundamental differences between supervised and unsupervised learning, gaining a clear understanding of how each approach is applied in real-world scenarios. By the end, participants will be equipped with the knowledge to identify suitable methods for various data analysis tasks, enhancing their ability to select appropriate machine learning techniques for specific challenges. Join us to unlock the potential of both learning paradigms!
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Implementing Algorithms in Python
In this lesson, "Mastering Algorithm Implementation in Python," students will dive into the practical application of various algorithms using Python, enhancing their coding skills through real-world problem-solving scenarios. By the end of the session, participants will confidently implement, test, and optimize algorithms, equipping them with the tools needed to tackle complex programming challenges effectively. Get ready to transform theoretical concepts into tangible coding expertise!
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Mastering Machine Learning: Hands-On Implementation Assignment
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Machine Learning Concepts Quiz
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Understanding Neural NetworksIn "Demystifying Neural Networks: A Comprehensive Introduction," students will embark on an engaging journey to unravel the complexities of neural networks. By the end of this lesson, they will grasp the fundamental concepts, architecture, and functioning of neural networks, empowering them to apply these principles to real-world problems and innovations in artificial intelligence. Join us to transform your understanding of this pivotal technology!
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Python Frameworks for Deep LearningIn this engaging lesson, "Exploring Deep Learning Frameworks: A Comprehensive Guide," students will dive into the vast ecosystem of deep learning frameworks, gaining hands-on experience with popular tools like TensorFlow and PyTorch. By the end of the lesson, participants will understand the unique features and applications of each framework, empowering them to select the right tools for their deep learning projects and enhance their machine learning proficiency.
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Building a Simple Neural NetworkIn this lesson, "Building Your First Neural Network: A Step-by-Step Guide," students will embark on an exciting journey to understand the foundational concepts of neural networks. Participants will learn to design, implement, and train a simple neural network from scratch, equipping them with the essential skills to tackle more complex machine learning tasks in the future. By the end of this lesson, students will not only grasp the key principles behind neural networks but also gain hands-on experience in coding and experimentation.
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Python Machine Learning Algorithms explained
In this video I will go through all machine learning algorithms in less than 17 minutes to get you an intuitive understanding of how they work and how they relate to each other as well as help you decide how to pick the right one for your problem.
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Python Training and Tuning Networks
How are training and tuning different?
To prepare a machine learning model you have to go through (on a high level) two processes: training and tuning.
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Hands-On Neural Networks: Building Your First Project
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Deep Learning Quiz
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Introduction to Robotics and PythonIn this exciting lesson, "Getting Started with Robotics: Programming with Python," students will explore the fundamental concepts of robotics while gaining hands-on experience in programming with Python. By the end of the session, learners will be equipped with the skills to create simple robotic movements and understand the basics of coding, setting the stage for more advanced robotics projects. Join us to unlock your potential in the world of technology and innovation!
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Sensors and Actuators in RoboticsIn this lesson, "Understanding Sensors and Actuators: The Backbone of Robotics," students will explore the critical roles that sensors and actuators play in robotic systems. They will learn how these components interact to enable robots to perceive their environment and execute actions, empowering them to design and troubleshoot basic robotic applications. By the end of the lesson, students will have a solid understanding of the principles behind these technologies and their practical applications in robotics.
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Programming Robots with PythonIn this lesson, "Mastering Robot Programming with Python," students will explore the fundamentals of programming robots using Python, gaining hands-on experience in coding, debugging, and deploying scripts to control robotic movements and behaviors. By the end of the lesson, learners will be equipped with the skills to create their own robotic applications, fostering creativity and problem-solving in the exciting field of robotics.
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Integrating AI into Robots
Is AI Integration a Major Focus in Current Robotics Trends? In this informative video, we will discuss the exciting intersection of artificial intelligence and robotics. AI integration is not just a trend; it is transforming the robotics landscape across various sectors. We will explore how this technology is enabling robots to learn from their environments and adapt their actions in real time.
In this dynamic lesson, "Fusion of Intelligence: Integrating AI with Robotics," students will explore the groundbreaking intersection of artificial intelligence and robotics, learning how to enhance robotic systems with intelligent decision-making capabilities. Through hands-on activities and real-world applications, participants will develop skills in programming, machine learning, and automation, empowering them to create innovative solutions that merge these two transformative technologies. Join us to unlock the future of intelligent robotics!
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Final Project: Designing and Developing Your Own Robotic Application
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Robotics Programming Quiz
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