Master AI for Autonomous Defense Drones and Surveillance in 4 weeks through hands-on, project-based online training with DSTC.
Antimicrobial Resistance (AMR)
Module-by-module breakdown of AI for Autonomous Defense Drones and Surveillance, from foundations to a certified capstone project.
Outline
Develop a comprehensive understanding of linear algebra and calculus for AI applications โข Analyze the fundamentals of probability and statistics for machine learning โข Design basic neural network architectures using Python and popular deep learning libraries
Outline
Configure data pipelines for autonomous defense drones using Apache Beam and Google Cloud Dataflow โข Implement data preprocessing techniques for image and sensor data using OpenCV and Pandas โข Evaluate the effectiveness of feature engineering methods for improving model performance
Outline
Design and implement convolutional neural networks (CNNs) for object detection and tracking โข Develop and train recurrent neural networks (RNNs) for time-series forecasting and prediction โข Analyze the performance of different model architectures for autonomous defense drone applications
Outline
Implement hyperparameter tuning using grid search, random search, and Bayesian optimization โข Evaluate the performance of trained models using metrics such as accuracy, precision, and recall โข Develop and implement early stopping and learning rate scheduling techniques for improved training
Outline
Configure and deploy models using TensorFlow Serving and Docker containers โข Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and GitLab โข Develop and implement monitoring and logging systems for production workflows
Outline
Analyze the ethical implications of AI systems for autonomous defense drones โข Develop and implement techniques for bias mitigation and fairness in AI decision-making โข Evaluate the effectiveness of explainability methods for AI models
Outline
Develop business cases for the adoption of AI-powered autonomous defense drones โข Implement AI solutions for real-world industry applications and case studies โข Evaluate the return on investment (ROI) and cost-benefit analysis of AI-powered autonomous defense drones
e-Certificate and e-Marksheet issued on successful completion.