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Eight week Coding Bootcamps program with three sessions per week - AI /Robotics/Python
Intermediate Coding Camp
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Recap of Python basics: variables, data types, and functions
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Introduction to advanced data structures: sets, dictionaries, and tuples
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Advanced control flow: nested loops, list comprehensions
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Functions: lambda functions, function decorators, and recursion
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Introduction to external libraries: NumPy for numerical computing, Pandas for data analysis
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Overview of Python modules: how to import and use them effectively
S2
S3
S1
Week 1-2: Python Review and Advanced Concepts
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Overview of robotics: history, applications, and importance
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Understanding robot components: actuators, sensors, microcontrollers
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Basics of robot motion: kinematics and dynamics
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Understanding mechanical design considerations for robots
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Introduction to control theory: open-loop vs. closed-loop control
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Hands-on exercises with PID control and motor control
S5
S6
S4
Week 3-4: Robotics Fundamentals
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Understanding AI: definitions, branches, and applications
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Overview of machine learning and its importance
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Overview of supervised and unsupervised learning
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Introduction to popular algorithms: linear regression, logistic
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Importance of data preprocessing in machine learning
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Techniques for feature scaling, encoding categorical variables, handling missing data
S8
S9
S7
Week 5-6: AI and Machine Learning Basics
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Understanding neural networks: structure, activation functions, and training
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Hands-on exercises with building and training simple neural networks
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Introduction to deep learning: architectures and applications
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Understanding CNNs and their applications in image recognition
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Students work on a final project integrating Python, robotics, and AI concepts learned throughout the camp
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Project presentations and demonstrations by students
S11
S12
Week 7-8: AI Implementation and Project
Grade selection
Buds - For Beginners
Sprouts - Early Learners
Vine - Middle Learners
Flowers - High School