Artificial Intelligence (AI) Training in Virginia

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI for innovative media production and business growth.

By the end of this training, participants will be able to:

• Create realistic voice clones for various applications.
• Manipulate video content with DeepFake technology for creative or educational purposes.
• Adopt ethical AI practices for content creation.
• Leverage AI tools for business and creative enhancement.
• Master AI media technologies for advanced applications.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

By the end of this training, participants will be able to:

• Understand the AI/ML services provided by AWS.
• Be able to set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level media professionals who wish to use AI tools to generate content, verify facts, automate editing tasks, and optimize workflows in digital journalism.

By the end of this training, participants will be able to:

• Leverage AI tools for drafting news articles, headlines, and summaries.
• Use AI to fact-check, detect bias, and suggest improvements in tone and clarity.
• Automate repetitive newsroom tasks like transcription and tagging.
• Apply ethical and editorial standards in AI-assisted content production.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level to advanced-level cybersecurity professionals and technical leads who wish to understand how to implement AI models to enhance security processes, automate threat detection and response, and perform predictive analysis.

By the end of this training, participants will be able to:

• Understand the role of AI in modern cyber security.
• Develop machine learning models for anomaly and threat detection.
• Implement AI for automating incident response and security operations.
• Evaluate the ethical and operational considerations of AI in cybersecurity.

This instructor-led, live training in Virginia (online or onsite) is aimed at managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

This instructor-led, live training in Virginia (online or onsite) is aimed at managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.

By the end of this training, participants will be able to:

• Understand key AI concepts relevant to their industry.
• Identify opportunities where AI can enhance their operations or customer experience.
• Experiment with basic AI tools through guided practical activities.
• Assess how to start small with AI in their own workplace.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.

By the end of this training, participants will be able to:

• Understand the principles and applications of Generative AI in the context of education.
• Create personalized learning materials and pathways using AI.
• Utilize AI tools for classroom management and content creation.
• Address ethical considerations in the use of AI for education.
• Develop strategies for integrating AI into educational curricula and administrative processes.

This hands-on, no-code training in Virginia introduces AI for logistics and supply in the fuel sector. Participants learn to leverage tools like Excel, Power BI, and ChatGPT for route planning, demand forecasting, cost estimation, and KPI dashboards without programming skills.

This instructor-led training in Virginia helps intermediate HR professionals adopt AI for hiring, onboarding, and talent management. Participants will learn to design ethical workflows, craft effective prompts, and measure the impact of AI tools on real-world HR operations and business processes.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level game developers and AI enthusiasts who wish to integrate AI agents into gaming applications effectively.

By the end of this training, participants will be able to:

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

This 21-hour instructor-led training in Virginia helps data engineers and DBAs integrate AI models into PostgreSQL. Participants learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level to advanced-level participants who wish to optimize customer care operations using AI and automation while equipping their teams with the latest tools and strategies.

By the end of this training, participants will be able to:

• Understand the latest trends in customer care and customer success.
• Leverage AI and automation to improve customer satisfaction and reduce workloads.
• Optimize sales workflows and customer engagement using advanced automation.
• Train teams remotely on modern tools and strategies for customer success and sales.
• Create scalable solutions to improve customer experiences and drive revenue growth.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.

By the end of this training, participants will be able to:

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

By the end of this training, participants will be able to:

• Explain the basic concepts and principles of AI and how it can be applied to driving.
• Understand the architecture and components of intelligent driving systems.
• Create and visualize a composite driving model from different design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and control driving schedules and costs.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn how to apply Pinecone to various AI scenarios, from semantic search to personalization.

By the end of this training, participants will be able to:

• Understand the architecture and features of Pinecone.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Pinecone to real-world AI challenges.

This instructor-led, live training in Virginia (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

By the end of this training, participants will be able to:

• Learn the concept of Artificial Intelligence (AI).
• Understand the limits and dangers of AI and use it responsibly.
• Know how to effectively use AI in real-world scenarios.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.

By the end of this training, participants will be able to:

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.

This hands-on training in Virginia covers Fiji and ImageJ fundamentals for biological research. Learners gain practical skills in image preprocessing, quantitative analysis, and macro automation to streamline workflows for histological tissues, cells, and other samples with reproducible results.

This instructor-led, live training (online or onsite) is aimed at professionals who wish to use AI to accelerate their systems and software engineering work. If you've been wondering how to use AI to dramatically accelerate your systems engineering work, this class is for you.

Students will model a Scanning Electron Microscope (both hardware and software) as their lab exercise, learning how to ask the right questions (i.e. prompts) to get help from AI in constructing the model.

By the end of this 3-day class, participants:

•  will learn how to use AI as a "subject matter expert" in defining the system/software model. 
•  will be familiar with "the four pillars of SysML" (Requirements, Structure, Behavior and Parametrics)
•  will also know how to structure their SysML models to account for software, 
  • generate User Interface Code from Behavior Models, 
  • generate Database Code from Structure Models, 
  • generate Microcontroller Code from State Machines

This instructor-led, live training in (online or onsite) is aimed at team leaders and middle managers who want to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.

By the end of this training, participants will be able to:

• Define when to use AI and when not to (stop rules).
• Verify AI outputs with practical standards (red flags, second source).
• Set accountability and escalation triggers.
• Build team agreements and a 30-day adoption plan.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level to advanced-level professionals, business leaders, and policymakers who wish to explore AI’s role in business, society, and future developments.

By the end of this training, participants will be able to:

• Understand how AI influences business, the economy, and workforce dynamics.
• Recognize ethical, legal, and societal challenges of AI adoption.
• Analyze the role of AI in privacy, governance, and inclusion.
• Evaluate strategies to address AI bias and ethical concerns.
• Discuss AI’s future potential and emerging challenges.

The objective of this instructor-led, live training is to determine which AI platform, ChatGPT, Gemini, or Microsoft Copilot, is best suited for different workflows and how to leverage their capabilities effectively.

Participants will see the three leading AI platforms compared side-by-side through real-world tasks and leave with a structured framework for choosing the right tool for their work.

This instructor-led, live training (online or onsite) is aimed at analysts, researchers, business professionals, and AI champions who wish to develop practical skills in applying modern AI tools within professional workflows.

Participants will explore the capabilities of leading AI platforms such as ChatGPT, Google Gemini, and Microsoft CoPilot, learning how these systems can support tasks including research synthesis, document analysis, workflow automation, and data exploration.

Through demonstrations and hands-on exercises, participants will compare platform capabilities, evaluate AI outputs, and learn techniques for identifying inaccuracies and improving prompt quality. The training also introduces how to build customized AI assistants using tools such as Custom GPTs, Copilot Agents, and Gemini Gems.

By the end of this training, participants will be able to:

• Compare the capabilities of major AI platforms and select appropriate tools for different tasks

• Use AI tools to support research, document analysis, and information synthesis

• Identify hallucinations and improve response reliability through verification techniques

• Build customized AI assistants to support recurring professional tasks

• Apply AI tools to streamline analysis, reporting, and knowledge workflows

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Building AI Assistants for Work
Custom GPTs, Copilot Agents, and Gemini Gems

The objective of this instructor-led, live training is to help participants design and build customized AI assistants that support real professional workflows.

Participants will learn how tools such as Custom GPTs, Microsoft Copilot Agents, and Gemini Gems can be configured to automate common tasks including research synthesis, meeting summaries, document drafting, and information analysis.

Through guided demonstrations and hands-on exercises, participants will create their own personal AI assistant and develop an AI workflow blueprint for integrating AI into everyday work processes.

By the end of the training, participants will understand how to design AI assistants tailored to their needs and how to deploy them to improve productivity, decision-making, and knowledge workflows.

Format of the Course

• Interactive lecture and guided demonstrations.

• Hands-on exercises where participants build and test AI assistants.

• Practical implementation of AI assistants in real-world workflow scenarios.

Participants will complete a Personal AI Assistant and an AI Workflow Blueprint during the session.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Virginia (online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.

This instructor-led, live training in Virginia (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This instructor-led training is designed for cross-functional management teams looking to understand and practically apply Artificial Intelligence within daily business operations, decision-making, planning, analysis, and process optimization.