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In this program, the participant will be responsible for learning and applying machine learning (ML) and artificial intelligence (AI) principles using Python and modern data science tools. The program emphasizes both theoretical understanding and applied implementation of ML algorithms, data processing, visualization, and model evaluation. Participants will gain hands-on experience building, testing, and deploying models using industry-standard frameworks and workflows.The training also introduces essential software engineering concepts, including version control, CI/CD automation, and Docker-based MLOps practices to ensure participants are prepared to operate in collaborative, production-grade ML environments.The instructional mode will be comprised of hands-on demonstration provided by company subject matter experts, along with some online or computer based training.
61 - 90 daysHybrid (In-Person and Online)Annapolis, MD
In this program, the participant will be responsible for learning and applying software engineering principles. The program emphasizes the full software development lifecycle (requirements, design, implementation, testing, and deployment) with hands-on experience in Python, C++, APIs, and DevOps practices. Participants will contribute to development efforts supporting modeling and simulation (M&S) environments and applying software concepts to real-world engineering challenges.
61 - 90 daysHybrid (In-Person and Online)Annapolis, MD
