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AEP (Advanced Engineering Program) Course Content

Introduction to Advanced Engineering

• Overview of AEP and Its Importance

• Engineering Problem-Solving Techniques

• Emerging Technologies in Engineering

• Industry Trends and Applications

Programming and Software Development

• Fundamentals of Programming (Python, Java, or C++)

• Data Structures and Algorithms

• Object-Oriented Programming (OOPs) Concepts

• Software Development Lifecycle (SDLC)

Embedded Systems and IoT

• Introduction to Embedded Systems

• Microcontrollers and Microprocessors (Arduino, Raspberry Pi)

• IoT Fundamentals and Architecture

• Sensor Integration and Data Processing

Cloud Computing and DevOps

• Basics of Cloud Computing (AWS, Azure, Google Cloud)

• Virtualization and Containerization (Docker, Kubernetes)

• CI/CD Pipelines and Automation

• Cloud Security Best Practices

Artificial Intelligence & Machine Learning

• Basics of AI and ML

• Supervised vs Unsupervised Learning

• Deep Learning and Neural Networks

• Real-World AI Applications

Cybersecurity and Ethical Hacking

• Network Security Fundamentals

• Common Cyber Threats and Attacks

• Ethical Hacking and Penetration Testing

• Security Best Practices and Compliance

Blockchain and Cryptocurrency

• Introduction to Blockchain Technology

• Smart Contracts and Decentralized Applications

• Cryptocurrencies and Digital Assets

• Real-World Blockchain Applications

Robotics and Automation

• Fundamentals of Robotics

• Industrial Automation and PLCs

• AI in Robotics

• Future Trends in Robotics and Automation

Industry 4.0 and Digital Transformation

• Introduction to Industry 4.0

• Smart Manufacturing and IoT

• Big Data and Analytics in Engineering

• Case Studies on Digital Transformation

Capstone Project and Case Studies

• Hands-on Project Based on Course Topics

• Real-World Industry Challenges and Solutions

• eam Collaboration and Presentation