Acquire foundational computer skills and prepare for entry-level I.T. roles through hands-on labs and simulations. Learn to identify and mitigate common security threats while gaining practical experience in enterprise networking.

Delve into the intricacies of Linux, the cornerstone of open-source collaboration and a ubiquitous operating system renowned for its reliability. This course equips you with essential Linux skills, paving the way towards the LPI Linux Essentials Professional Development Certificate.

Master the fundamentals of Python programming, covering syntax, semantics, and general computer programming concepts. Gain proficiency in object-oriented programming and essential coding techniques.

This program parallels technical courses and introduces theories and concepts crucial for success in civilian workplaces. It explores practical strategies for addressing workplace challenges, with a focus on individual success.

Develop practical skills in applying large language models (LLMs) to improve threat detection, automate incident reporting, and streamline workflows within Security Operations Centers (SOCs). Key topics include integration with SIEM and SOAR platforms, phishing detection, alert triaging, anomaly detection, and support for red and blue team functions. The course also introduces User and Entity Behavior Analytics (UEBA) and covers the ethical and operational considerations specific to AI use in security environments.

Introduces the core concepts behind Generative AI and large language models (LLMs), highlighting their role in reshaping digital systems, communication, and the future of work. Explore how Gen AI systems are built and how they differ from traditional AI. Learners will examine the evolution of transformer-based models, the mechanics behind tools like ChatGPT and Hugging Face, and the ethical implications of AI deployment.

Develop a solid understanding of security principles and technologies for cybersecurity operations. Gain practical experience in threat detection and network security within a simulated Security Operations Center (SOC) environment.

Builds practical expertise in prompt engineering by the process of creating effective inputs that shape LLM outputs. It covers advanced techniques such as zero-shot, few-shot, and chain-of-thought prompting, along with hands-on development using LangChain. Topics include prompt design strategies, context management, response refinement, and the creation of AI-powered tools such as chatbots and document summarizers. Learners will be able to design and prototype Gen AI solutions.

Develop skills to fine-tune LLMs for domain-specific applications. Using tools such as Hugging Face Transformers and PyTorch. Key topics include dataset preparation, transfer learning, hyperparameter tuning, prompt tuning, and model evaluation. Adapting LLMs for tasks such as sentiment analysis, content generation, and other targeted applications.

Introduces an advanced technique that combines LLMs with external knowledge retrieval systems to enhance accuracy, reduce hallucinations, and support real-time data access. Build RAG pipelines using LangChain and vector databases like FAISS and ChromaDB. Practical projects include creating custom question-answering bots, knowledge assistants, and search-augmented tools.

Apply your acquired knowledge through a comprehensive capstone project. Develop a functional Gen AI application, such as a custom chatbot, document analysis tool, or security-focused LLM system, using the tools and frameworks. Conclude with project documentation, reporting, and a final presentation with peer review.