How to use Microsoft Copilot to simplify tasks and boost productivity effortlessly. Learn to draft documents, analyze data, and create presentations in minutes using AI across Word, Excel, PowerPoint, and Outlook. This beginner-friendly course will transform how you work, saving time and making complex tasks a breeze!
Our AI consulting services empower businesses and educational institutions to harness the full potential of artificial intelligence. We help companies create clear, effective AI policies and guidelines that set the foundation for responsible, impactful AI usage. With a focus on safeguarding data security in the age of AI, we implement enforcement tools to ensure adherence to these guidelines.
Our tailored training programs equip employees with essential AI skills to enhance productivity, streamline workflows, and foster innovation. From policy formulation to hands-on training, we provide end-to-end support for integrating AI responsibly and effectively within your organization.
Evaluate your organization's current capabilities, infrastructure, and data management practices. Identify areas where AI can be leveraged to streamline operations, enhance decision-making, and drive innovation. This assessment will help you develop a roadmap for your AI adoption journey.
Establish a clear vision and objectives for your AI implementation. Align your AI strategy with your overall business goals and ensure that it addresses the unique needs and challenges of your industry. Involve key stakeholders, including IT, data, and legal teams, to ensure a well-rounded approach.
Ensure that your organization has a solid data governance framework in place. This includes defining data ownership, establishing data security and privacy protocols, and implementing effective data storage and backup solutions. Regularly review and update these practices to stay ahead of evolving data protection regulations.
Large language models (LLMs) have become powerful tools for a wide range of AI applications. However, the training of these models often relies on vast amounts of data, some of which may be proprietary or sensitive. To prevent your organization's data from being included in LLM training datasets, consider the following measures:
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D. K. Deh is an engineering professional with expertise in artificial intelligence, broadband, cloud computing, and system design. He brings extensive experience in machine learning (ML), natural language processing (NLP), and generative AI to technology solutions. Holding MS and BS degrees in Electrical Engineering from Drexel University, he also earned an AI Products and Services Design certification from MIT xPRO. Currently, he is building a high-quality wound image dataset for AI model training in collaboration with the Michigan Institute of Musculoskeletal Medicine’s Dr. Bachou Abraham to ensure AI measurements align with traditional clinical methods. He is also focused on implementing and deploying his patented EV charger.
Muhammad Ali is a senior software architect with extensive experience in full-stack development and team leadership. He manages web/DevOps teams and has led blockchain and payment solutions projects. His previous roles include positions at Vander Group and RAC, where he developed mobile and web applications, managed development teams, and worked on significant projects like TheSufferfest. He has strong technical expertise in JavaScript (Node.js, AngularJS, ReactJS, Electron), Ruby on Rails, Java, and mobile development (iOS, Cordova), along with experience in various databases and cloud platforms. Notable projects in his portfolio include Quickcard Datawarehouse, The Sufferfest App, Greenbox Block (a blockchain-based ledger system), Pedego, Student-Enroute, and Ziply. He holds a Bachelor’s degree in Computer Sciences from the University of Gujrat, Pakistan.
Stuart Pickard is an accomplished entrepreneur, team builder, leader and mentor, uniquely positioned where technology, sales and marketing converge, throughout his four decades plus career.
He has extensive experience in business development, focused technology and market research, concept ideation for B2C and B2B products and services, strategic alliances and partnerships, sales channel building, branding, digital business transformation and solution acceleration.
He specializes in the application of Interactive Multimedia technologies and methodologies, including advanced Content Strategies and User Interface Designs, to a myriad of consumer and commercial market verticals. Key applications include Digital Out-of-Home Signage-based Advertising Networks and the commercialization of both Image-based and Streaming Content.
His expertise also includes Indoor Air and Surface Purification, Robotics and Student Transportation Logistics.
Whether you are brand new to the subject of Artificial Intelligence [AI] or are seeking to increase your
current essential and practical skillset, our fully Interactive Live Courses will empower you to both excel and
remain fully competitive in this ever-increasingly AI-powered world.
We currently offer 4 Courses, each led by a live instructor with many years of up-to-date industry
knowledge and practical experience
AI Course #1
Our AI for Everyone: Become an AI Power User in 7 Days Course
AI Course #2
Our Machine Learning Intensive Course
AI Course #3
GenAI (Generative Artificial Intelligence) intensive Course
AI Course #4
No code AI
Our classes are fully Interactive, as they feature Real-Time, Live Video and Audio Instruction.
Transform your understanding of AI through our comprehensive 7-day online or in person intensive course., designed and delivered by industry veterans with over 60 years of combined experience, including 20+ years specifically in AI development. Our virtual program provides an immersive learning experience that combines theoretical knowledge with practical skills to help you thrive in the AI-driven world.
Foundation Phase (Days 1-2): Understanding AI
(Days 3-6):
(Days 3-6):
(Days 3-6):
(Days 7):
This online intensive course is designed to help you deeply understand key Machine Learning concepts and techniques, from foundational models to MLops. Developed by experienced engineers, the course combines conceptual deep dives with hands-on or minimal coding exercises, empowering you to tackle new ML projects with confidence.
Daily Live Lecture: Each day features a 2-hour live lecture where course authors and contributors dive deeply into the topics and answer questions. We’ve added fun surprises to keep the sessions engaging.
Introduction to Machine Learning & Data Preprocessing
Understand the core principles of machine learning, from supervised to unsupervised learning, along with techniques for data cleaning, preprocessing, and feature selection.
Dive into regression (linear, logistic) and classification methods, exploring use cases, model performance metrics, and best practices for model selection.
Explore decision trees, random forests, and ensemble techniques, focusing on practical applications and handling overfitting.
Discover the basics of neural networks, their architecture, and the foundational techniques of deep learning, with a look at training, tuning, and applications.
Learn how to manage the lifecycle of ML models, from training to deployment, using MLOps practices with tools like Google Vertex AI and AWS SageMaker for scalable model management.
Recap the core concepts covered over the past five days, with a focus on reinforcing foundational principles, techniques, and best practices.
Capstone Project: Introduce a hands-on project that brings together multiple ML techniques covered in the course. Participants will select a dataset and problem (e.g., classification, regression, or clustering) and apply data preprocessing, model building, and evaluation techniques.
Instructors will guide participants in project planning and answer specific questions, offering support as they begin work on the project.
Participants will share their capstone projects, present findings, and receive constructive feedback from instructors and peers.
A brief introduction to more advanced ML topics (e.g., reinforcement learning, natural language processing) to inspire future learning, along with recommended resources (books, online courses, and communities).
Information on how to leverage the skills gained in this course to pursue certifications or career advancement in ML, including certification options and tips for building a professional portfolio.
Explore decision trees, random forests, and ensemble techniques, focusing on practical applications and handling overfitting.
Discover the basics of neural networks, their architecture, and the foundational techniques of deep learning, with a look at training, tuning, and applications.
Learn how to manage the lifecycle of ML models, from training to deployment, using MLOps practices with tools like Google Vertex AI and AWS SageMaker for scalable model management.
Recap the core concepts covered over the past five days, with a focus on reinforcing foundational principles, techniques, and best practices.
Capstone Project: Introduce a hands-on project that brings together multiple ML techniques covered in the course. Participants will select a dataset and problem (e.g., classification, regression, or clustering) and apply data preprocessing, model building, and evaluation techniques.
Instructors will guide participants in project planning and answer specific questions, offering support as they begin work on the project.
Participants will share their capstone projects, present findings, and receive constructive feedback from instructors and peers.
A brief introduction to more advanced ML topics (e.g., reinforcement learning, natural language processing) to inspire future learning, along with recommended resources (books, online courses, and communities).
Information on how to leverage the skills gained in this course to pursue certifications or career advancement in ML, including certification options and tips for building a professional portfolio.
It’s a 7-day online course designed to help you deeply understand some of the fundamental technologies and techniques behind Generative AI. Created by a team of engineers, this program includes both conceptual deep dives and hands-on coding or minimum coding examples so you can tackle new Gen AI projects with confidence.
where the authors and course contributors will dive deeper into the topics and answer your burning questions. Plus, we’ve got fun surprises in store to keep the learning engaging.
This includes newly published papers, a companion podcast (generated by NotebookLM)
Discord Discussion Threads
Discord server will have a dedicated channel for focused discussion on the reading. It’s an excellent place to find further clarification, surface any questions, and connect with other learners.
Foundational Models & Prompt Engineering – Explore the evolution of LLMs, from transformers to techniques like fine-tuning and inference acceleration. Get trained with the art of prompt engineering for optimal LLM interaction.
Embeddings and Vector Stores/Databases – Learn about the conceptual underpinning of embeddings and vector databases, including embedding methods, vector search algorithms, and real-world applications with LLMs, as well as their tradeoffs.
Generative AI Agents – Learn to build sophisticated AI agents by understanding their core components and the iterative development process.
Domain-Specific LLMs – Delve into the creation and application of specialized LLMs like SecLM and Med-PaLM, with insights from the researchers who built them.
MLOps for Generative AI – Discover how to adapt MLOps practices for Generative AI and leverage google Vertex AI’s or AWS sagemaker tools for foundation models and generative AI applications.
Participants will present their capstone projects, showcasing the application of learned techniques (e.g., embeddings, prompt engineering, MLOps practices) and sharing key insights. The presentation will include constructive feedback from instructors and peers.
Briefly introduce emerging areas in Generative AI, such as multimodal models, reinforcement learning for LLMs, and the development of autonomous AI agents. Discuss practical applications and anticipated future trends.
Provide guidance on potential career paths in Generative AI, including relevant certifications, advanced studies, and industry projects. Share resources for continued learning and tips for building a strong AI portfolio.
Nomadic Systems also provides specialized AI services to address critical needs in AI
security, responsible usage, and data governance.
With the growing role of AI in business, safeguarding company data from
unauthorized access by Large Language Models (LLMs) such as ChatGPT is
crucial. Our AI security service offers customized solutions to protect intellectual
property, customer information, and sensitive data. We work with companies to
implement preventive measures that minimize risks, ensuring their data is
securely managed and shielded from unintended AI consumption.
We offer a tailored service to design AI policies and guidelines for small and
medium businesses, aligning with industry best practices and regulatory
standards. Our approach includes developing frameworks that ensure
responsible AI use, data privacy, and ethical compliance. These guidelines
empower businesses to leverage AI while adhering to ethical principles and
regulatory requirements, enabling responsible AI adoption.
Our AI enforcement solutions cater to both family and corporate needs. Designed
for safe and controlled AI use, these tools allow families to set boundaries on AI
applications for children. In a corporate setting, businesses can define, monitor,
and enforce AI usage standards, creating a responsible AI ecosystem. These
tools help maintain a secure and ethical AI environment, both at home and in the
workplace.
At Ai Training Dzova , we understand the challenges organizations face in their AI journey. Our team of AI experts and data security specialists can assist you throughout the entire process, from assessing your readiness to implementing robust data protection measures. We can help you:
By partnering with us, you can navigate the transition to the AI world with confidence, unlock the transformative power of AI, and maintain the security and privacy of your critical data.
By partnering with us, you can have the peace of mind that your organization’s critical data is safeguarded from being inadvertently included in LLM training datasets, even as you harness the power of AI to drive your business forward.
100 S Juniper St 3rd Floor
Philadelphia, PA 19107
267 209 0352
ai@nomadicsystems.net
