Covers the most essential aspects of programming the AI engine resources

• AIE data movement and interfaces
• Scalar and vector data-types
• Memory management
• Instrinsic and C++ APIs for SIMD execution
• Leveraging libraries for high-speed DSP functional blocks
• Power consideration for AI engine usage
• Introduction to AIE-ML architecture
• Advanced graph and RTPs (run-time-parameters)
• Vitis Model Composer for AIE design
• System design flow
• AIE kernel optimization – coding style
• AI/ML development with Versal and AIE-ML