• Overview of AEP and Its Importance
• Engineering Problem-Solving Techniques
• Emerging Technologies in Engineering
• Industry Trends and Applications
• Fundamentals of Programming (Python, Java, or C++)
• Data Structures and Algorithms
• Object-Oriented Programming (OOPs) Concepts
• Software Development Lifecycle (SDLC)
• Introduction to Embedded Systems
• Microcontrollers and Microprocessors (Arduino, Raspberry Pi)
• IoT Fundamentals and Architecture
• Sensor Integration and Data Processing
• Basics of Cloud Computing (AWS, Azure, Google Cloud)
• Virtualization and Containerization (Docker, Kubernetes)
• CI/CD Pipelines and Automation
• Cloud Security Best Practices
• Basics of AI and ML
• Supervised vs Unsupervised Learning
• Deep Learning and Neural Networks
• Real-World AI Applications
• Network Security Fundamentals
• Common Cyber Threats and Attacks
• Ethical Hacking and Penetration Testing
• Security Best Practices and Compliance
• Introduction to Blockchain Technology
• Smart Contracts and Decentralized Applications
• Cryptocurrencies and Digital Assets
• Real-World Blockchain Applications
• Fundamentals of Robotics
• Industrial Automation and PLCs
• AI in Robotics
• Future Trends in Robotics and Automation
• Introduction to Industry 4.0
• Smart Manufacturing and IoT
• Big Data and Analytics in Engineering
• Case Studies on Digital Transformation
• Hands-on Project Based on Course Topics
• Real-World Industry Challenges and Solutions
• eam Collaboration and Presentation