Online or onsite, instructor-led live Artificial Intelligence (AI) training courses demonstrate through hands-on practice how to implement AI solutions for solving real-world problems.
AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Austin onsite live Artificial Intelligence (AI) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Austin, TX – Regus at Dobie Center
2021 Guadalupe Street, Suite 260, Austin, United States, 78705
The venue is located in the vibrant West Campus neighborhood near the University of Texas at the Dobie Center, easily reachable by car via I‑35 or I‑35 Frontage Road and Loop 1, with on-site and street parking nearby. From Austin–Bergstrom International Airport (AUS), about 11 miles southeast, a taxi or rideshare takes around 20–25 minutes via TX‑71 West and I‑35 North. Public transit users can take Capital Metro routes to the University of Texas/Dobie Mall stop directly in front of the building, placing it within a short walk for attendees without cars.
Austin, TX - Regus - Littlefield Congress
106 E 6th St, Austin, United States, 78701
The venue is conveniently situated near I‑35 and US‑183, making it easily accessible by car, with both public and garage parking options—such as the Littlefield Garage at 508 Brazos—located within walking distance. For those using public transportation, the venue is just a short walk from the Downtown Station (CapMetro) and is served by several bus routes. Travelers arriving by air will find that Austin-Bergstrom International Airport is approximately 8 miles away, providing straightforward access to and from the venue.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like the EU AI Act, and practical techniques for auditing AI systems to mitigate bias and enhance transparency.
By the end of this training, participants will be able to:
Understand core principles of responsible AI, including fairness, accountability, and transparency.
Identify and mitigate biases within AI systems.
Implement ethical frameworks and conduct AI audits for compliance.
Apply governance strategies to manage ethical risks in AI deployment.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level administrative operatives who wish to have a basic understanding of AI and its applications in administrative tasks.
By the end of this training, participants will be able to:
Understand the basics of Artificial Intelligence (AI).
Learn how AI can be integrated into daily administrative tasks.
Improve efficiency in sending emails, conducting surveys, managing indicators, maintaining records, and performing manual validations through AI tools.
This instructor-led, live training in Austin (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 Austin (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.
AI tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and drafting of legal documents.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and enhance their day-to-day legal work.
By the end of this training, participants will be able to:
Use AI tools to review contracts for risky or missing clauses.
Generate first drafts of legal documents using generative AI assistants.
Automate legal research and summarize case law efficiently.
Organize tasks, deadlines, and legal files with the support of AI-based tools.
Format of the Course
Interactive lecture and discussion.
Hands-on practice with real-world legal examples.
Demonstration and guided use of AI tools in legal workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI tools are transforming productivity and creativity across industries, especially in communication, design, and audiovisual production.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to leverage AI tools to streamline content creation, automate workflows, and enhance creative output in their daily work.
By the end of this training, participants will be able to:
Use ChatGPT and other LLMs to write, summarize, ideate, and automate tasks using effective prompt techniques.
Apply Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to enhance productivity.
Create AI-generated images and videos using accessible tools suitable for professional use.
Incorporate Microsoft Copilot within Office 365 for smarter document, spreadsheet, and email workflows.
Understand and apply ethical AI usage practices, including cybersecurity considerations.
Explore real-world use cases in communication, design, and audiovisual production using AI tools.
Evaluate and experiment with free AI tools relevant to modern workplaces.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI-powered tools like ChatGPT, Gemini, and Microsoft 365 Copilot are transforming how procurement professionals perform research, draft documents, analyze supplier data, and manage contracts.
This instructor-led, live training (online or onsite) is aimed at intermediate-level procurement professionals who wish to use AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.
By the end of this training, participants will be able to:
Understand and differentiate major AI tools and their relevance to procurement tasks.
Write effective prompts to improve AI accuracy and reduce risk of misuse.
Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
Interpret AI-generated outputs responsibly and identify bias or hallucinations.
Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with real-world procurement examples.
Use of live AI tools and prompt crafting practice.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Artificial Intelligence (AI) for Corporate Professionals is an introductory course that explores how AI can be safely and effectively applied across departments within the corporate environment to boost productivity, enhance communication, and streamline operations.
This instructor-led, live training (online or onsite) is aimed at non-technical corporate professionals who wish to understand and begin using AI tools like ChatGPT, Gemini, and Copilot to improve their everyday workflows.
By the end of this training, participants will be able to:
Understand AI fundamentals, risks, and ethical considerations.
Apply AI to automate tasks and assist with communication and research.
Create structured prompts tailored to real-world administrative tasks.
Plan for safe, scalable adoption of AI tools within their teams.
Format of the Course
Interactive lecture and discussion.
Hands-on use of AI tools in corporate scenarios.
Guided exercises focused on process improvement and communication.
Course Customization Options
To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
This instructor-led, live training in Austin (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 Austin (online or onsite) is aimed at all-level administrative professionals who wish to leverage AI tools to automate routine tasks, enhance document handling, improve presentations, and optimize workflows in the office environment.
By the end of this training, participants will be able to:
Understand the basics of AI and how it applies to administrative roles.
Use generative AI tools to write, summarize, and translate content.
Automate calendar management, emails, and routine tasks.
Design and implement an AI-assisted workflow specific to their role.
This instructor-led, live training in Austin (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 Austin (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 Austin (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 Austin (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 Austin (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 instructor-led, live training in Austin (online or onsite) is aimed at beginner-level to intermediate-level professionals from various departments who wish to learn how to efficiently use AI tools for daily tasks, saving time and improving productivity.
By the end of this training, participants will be able to:
Identify AI-powered tools suitable for different tasks.
Automate repetitive processes to improve workflow efficiency.
Leverage AI for better communication, reporting, and decision-making.
Ensure responsible and ethical AI usage in the workplace.
Artificial Intelligence with Python is the development of intelligent systems using Python’s extensive ecosystem of AI and machine learning libraries.
This instructor-led, live training (online or onsite) is aimed at intermediate-level Python programmers who wish to design, implement, and deploy AI solutions using Python.
By the end of this training, participants will be able to:
Implement AI algorithms using Python’s core AI libraries.
Work with supervised, unsupervised, and reinforcement learning models.
Integrate AI solutions into existing applications and workflows.
Evaluate model performance and optimize for accuracy and efficiency.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and precise control over execution.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.
By the end of this training, participants will be able to:
Design legal-specific LangGraph workflows that preserve auditability and compliance.
Integrate legal ontologies and document standards into graph state and processing.
Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI and Machine Learning are rapidly evolving technologies with significant implications for data governance and organizational compliance.
This instructor-led, live training (online or onsite) is aimed at intermediate-level governance, privacy, and compliance professionals who wish to understand how to implement robust information governance practices in environments using AI and machine learning.
By the end of this training, participants will be able to:
Understand the core concepts of AI and machine learning in an information governance context.
Identify typical areas where AI/ML is deployed in organizations and related IG risks.
Evaluate how AI/ML interacts with Data Protection Principles, records management, and data quality.
Apply DPIAs, governance frameworks, and risk mitigation approaches to AI/ML projects.
Format of the Course
Interactive lecture and discussion.
Real-world case examples and framework analysis.
Group activities and guided document walkthroughs.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance.
By the end of this training, participants will be able to:
Design finance-specific LangGraph workflows aligned to regulatory and audit requirements.
Integrate financial data standards and ontologies into graph state and tooling.
Implement reliability, safety, and human-in-the-loop controls for critical processes.
Deploy, monitor, and optimize LangGraph systems for performance, cost, and SLAs.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Artificial Intelligence (AI) is a rapidly evolving field that provides tools and systems capable of automating tasks, analyzing data, and enhancing decision-making across all business functions.
This instructor-led, live training (online or onsite) is aimed at non-technical professionals who wish to understand what AI is, how it works, and how it can improve productivity across departments in a company.
By the end of this training, participants will be able to:
Understand the basic concepts and capabilities of AI.
Recognize how AI is transforming various business areas.
Identify AI tools that can be used to enhance daily workflows.
Integrate simple AI-powered processes to improve decision-making and efficiency.
Format of the Course
Interactive lecture and discussion.
Hands-on demonstrations using AI tools.
Scenario-based exercises and use case exploration.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are crucial for compliance, interoperability, and building decision-support systems that align with medical workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.
By the end of this training, participants will be able to:
Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
Apply best practices for reliability, traceability, and explainability in sensitive environments.
Deploy, monitor, and validate LangGraph applications in healthcare production settings.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with real-world case studies.
Implementation practice in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.
This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps for AI, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems.
By the end of this training, participants will be able to:
Design and optimize complex LangGraph topologies for speed, cost, and scalability.
Engineer reliability with retries, timeouts, idempotency, and checkpoint-based recovery.
Debug and trace graph executions, inspect state, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (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 instructor-led, live training in Austin (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 Austin (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.
By the end of this training, participants will be able to:
Set up an efficient environment for fine-tuning AI models on Ollama.
Prepare datasets for supervised fine-tuning and reinforcement learning.
Optimize AI models for performance, accuracy, and efficiency.
Deploy customized models in production environments.
Evaluate model improvements and ensure robustness.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
Deploy and configure Ollama for private AI processing.
Integrate AI models into secure enterprise workflows.
Optimize AI performance while maintaining data privacy.
Automate business processes with on-premise AI capabilities.
Ensure compliance with enterprise security and governance policies.
This instructor-led, live training in Austin (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.
LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.
This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.
By the end of this training, participants will be able to:
Design graph-structured content and email workflows with conditional logic.
Integrate LLMs, APIs, and data sources for automated personalization.
Manage state, memory, and context across multi-step campaigns.
Evaluate, monitor, and optimize workflow performance and delivery outcomes.
Format of the Course
Interactive lectures and group discussions.
Hands-on labs implementing email workflows and content pipelines.
Scenario-based exercises on personalization, segmentation, and branching logic.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (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.
This instructor-led, live training in Austin (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 Austin (online or onsite) is aimed at intermediate-level to advanced-level developers and AI hobbyists who wish to create advanced AI workflows in n8n.
By the end of this training, participants will be able to:
Understand the integration of AI services with n8n workflows.
Implement AI-driven decision-making in automated processes.
Create custom AI nodes and use pre-built AI nodes in n8n.
analyze and optimize the performance of AI workflows.
This instructor-led, live training in Austin (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.
By the end of this training, participants will be able to:
Set up and deploy LLMs using Ollama.
Optimize AI models for performance and efficiency.
Leverage GPU acceleration for improved inference speeds.
Integrate Ollama into workflows and applications.
Monitor and maintain AI model performance over time.
LangGraph is a framework for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.
This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.
By the end of this training, participants will be able to:
Design graph-based workflows that coordinate LLM agents, tools, and memory.
Implement conditional routing, retries, and fallbacks for robust execution.
Integrate retrieval, APIs, and structured outputs into agent loops.
Evaluate, monitor, and harden agent behavior for reliability and safety.
Format of the Course
Interactive lecture and facilitated discussion.
Guided labs and code walkthroughs in a sandbox environment.
Scenario-based design exercises and peer reviews.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (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 instructor-led, live training in Austin (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.
By the end of this training, participants will be able to:
Understand the principles and benefits of Bing AI.
Identify the AI-powered features within Bing and their applications.
Utilize Bing AI to enhance search results and user experiences.
Evaluate the potential of AI in search engine optimization (SEO) and content creation.
Explore chatbot technologies and their applications, including Bing AI Chatbot.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.
By the end of this training, participants will be able to:
Navigate the Fiji interface and utilize ImageJ’s core functions.
Preprocess and enhance scientific images for better analysis.
Analyze images quantitatively, including cell counting and area measurement.
Automate repetitive tasks using macros and plugins.
Customize workflows for specific image analysis needs in biological research.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals who wish to understand the capabilities, use cases, and potential applications of Grok AI.
By the end of this training, participants will be able to:
Understand what Grok AI is and how it differs from other chatbots.
Explore the key features and functionalities of Grok AI.
Interact effectively with Grok AI for personal and business use.
Leverage Grok AI for productivity, creativity, and problem-solving.
Recognize the ethical considerations and limitations of AI chatbots.
LangGraph is a framework for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.
This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.
By the end of this training, participants will be able to:
Explain core LangGraph concepts (nodes, edges, state) and when to use them.
Build prompt chains that branch, call tools, and maintain memory.
Integrate retrieval and external APIs into graph workflows.
Test, debug, and evaluate LangGraph apps for reliability and safety.
Format of the Course
Interactive lecture and facilitated discussion.
Guided labs and code walkthroughs in a sandbox environment.
Scenario-based exercises on design, testing, and evaluation.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.
By the end of this training, participants will be able to:
Understand the fundamentals of Ollama and its capabilities.
Set up Ollama for running local AI models.
Deploy and interact with LLMs using Ollama.
Optimize performance and resource usage for AI workloads.
Explore use cases for local AI deployment in various industries.
This instructor-led, live training in Austin (online or onsite) is aimed at beginner-level IT professionals who wish to understand the basics of AI and learn how to use Perplexity AI effectively.
By the end of this training, participants will be able to:
Explain the fundamental concepts of artificial intelligence.
Navigate and utilize the Perplexity AI platform for information discovery.
Apply Perplexity AI in various real-world scenarios.
Understand the ethical considerations and societal impacts of AI technologies.
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,
What will cities look like in the future? How can Artificial Intelligence (AI) be used to improve city planning? How can AI be used to make cities more efficient, livable, safer and environmentally friendly?
In this instructor-led, live training (onsite or remote), we examine the various technologies that make up AI, as well as the skill sets and mental framework required to put them to use for city planning. We also cover tools and approaches for gathering and organizing relevant data for use in AI, including data mining.
Audience
City planners
Architects
Developers
Transportation officials
Format of the Course
Part lecture, part discussion, and a series of interactive exercises.
Note
To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training in Austin (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.
The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.
The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.
By the end of this training, participants will be able to:
Understand the key concepts used in robotic technologies.
Understand and manage the interaction between software and hardware in a robotic system.
Understand and implement the software components that underpin robotics.
Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
Implement search algorithms and motion planning.
Implement PID controls to regulate a robot's movement within an environment.
Implement SLAM algorithms to enable a robot to map out an unknown environment.
Extend a robot's ability to perform complex tasks through Deep Learning.
Test and troubleshoot a robot in realistic scenarios.
In this instructor-led, live training in Austin (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.
The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.
The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.
By the end of this training, participants will be able to:
Understand the key concepts used in robotic technologies.
Understand and manage the interaction between software and hardware in a robotic system.
Understand and implement the software components that underpin robotics.
Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
Implement search algorithms and motion planning.
Implement PID controls to regulate a robot's movement within an environment.
Implement SLAM algorithms to enable a robot to map out an unknown environment.
Test and troubleshoot a robot in realistic scenarios.
This instructor-led, live training in Austin (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.
AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, a survey of current law, and strategies for risk management, security and safety considerations, privacy protection, and other topics.
Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
This training teaches critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.
This course uses a practical approach to teaching OptaPlanner. It provides participants with the tools needed to perform the basic functions of this tool.
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Testimonials (25)
Very well adjusted
Michal - GE Aerospace Poland Sp. z o.o.
Course - Prompt Engineering for ChatGPT
practical exercises
Daniel - Facultatea S.A.I.A.P.M.
Course - Agentic AI in Multi-Agent Systems
Comparison between GenAI and friendly condition in class
Merlinda - Lembaga Penjamin Simpanan
Course - Artificial General Intelligence (AGI) and ChatGPT
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
Ireneusz - Inter Cars S.A.
Course - Intelligent Applications Fundamentals
Trainer responding to questions on the fly.
Adrian
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
The knowledge I gathered
Viorel - PUBLIC COURSE
Course - ChatGPT for Product Development
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
I liked knowing how to understand all the tools and the scope that GPTs have. I see a lot of value in the possibility of being able to have your own "space" for your work team and being able to upload documents and have it function as an automated database. I think that in general, we learned a lot about the different uses that one can give to these platforms. Very valuable.
Andres Lomeli Lopez - Factoring Azteca SA de CV
Course - ChatGPT for VC/Private Equity
Machine Translated
Knowing the strengths of ChatGPT
Sandra Dominguez Hinojosa - Marketing Global Research
Course - ChatGPT for Market Research
Machine Translated
its knowledge and utilization of AI for Robotics in the Future.
Ryle - PHILIPPINE MILITARY ACADEMY
Course - Artificial Intelligence (AI) for Robotics
This class presents material that will be disruptive to industry. Those who do not adopt will miss out.
Mark
Course - AI Assisted MBSE with SysML
The dynamics to learn more about the topics, the exercises
Yareli Naythel Bolaina Lorenzo - Instituto Tecnologico Superior de Comalcalco
Course - ChatGPT for Education and Training
Machine Translated
prompts engineering part
Michal - GE HealthCare
Course - Generative AI with Large Language Models (LLMs)
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.
Rick Johnson - Laramie County Community College
Course - Artificial Intelligence (AI) Overview
I like the way Sonia interact with audience, she made the webinar alive not boring like others webinar. I also got surprised by the ChatGPT and really impress.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Course - ChatGPT for Accounting
His way of gaining audience
Venkata Narasimha Murthy - 6Point6
Course - ChatGPT for Automation
bulding the case of an integration of chatgpt for HR purpose
Clelia - Proximus
Course - ChatGPT for Human Resources
It was very funny and very interesting the way of how topics were exposed
Ivan - si
Course - Artificial Intelligence (AI) for Managers
Practical examples in Insurance
Viren - Hollard Insure
Course - ChatGPT
Understanding big data beter
Shaune Dennis - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
The detail in which the instructor explained all the concepts.
Privolin Naidoo - Vodacom
Course - Microsoft Bot Framework Composer
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide.
It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
Terry Strachan - Exel Computer Systems plc
Course - OptaPlanner in Practice
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
Course - Computer Vision with Python
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)
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