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. Graz 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
NobleProg Graz
Waagner-Biro-Strasse 47, Graz, Austria, 8020
Overview
Our training facilities are located at Waagner-Biro-Strasse 47 in Graz. Our spacious training rooms are located directly in the old town and offer optimal training conditions for your needs.
Directions
The NobleProg training facilities are best reached via the A9 motorway and the federal highway 67.
Parking spaces
There are parking spaces in the streets around our training rooms as well as the ContiPark multi-storey car park.
Local infrastructure
There are numerous restaurants in the downtown area and hotels are also within walking distance.
This instructor-led, live training in Graz (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 Graz (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 Graz (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 Graz (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 Graz (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.
By the end of this training, participants will be able to:
Implement AI models for healthcare using Google Colab.
Use AI for predictive modeling in healthcare data.
Analyze medical images with AI-driven techniques.
Explore ethical considerations in AI-based healthcare solutions.
This instructor-led, live training in Graz (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 Graz (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 Graz (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 Graz (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 Graz (online or onsite) is aimed at intermediate-level healthcare professionals and data scientists who wish to understand and apply AI technologies in healthcare environments.
By the end of this training, participants will be able to:
Identify key healthcare challenges that AI can address.
Analyze AI’s impact on patient care, safety, and medical research.
Understand the relationship between AI and healthcare business models.
Apply fundamental AI concepts to healthcare scenarios.
Develop machine learning models for medical data analysis.
This instructor-led, live training in Graz (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
By the end of this training, participants will be able to:
Identify key ethical issues in AI development with LangChain.
Understand the impact of AI on society and decision-making processes.
Develop strategies for building fair and transparent AI systems.
Implement ethical AI guidelines into LangChain-based projects.
This instructor-led, live training in Graz (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.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
Implement LangChain in web apps to create dynamic and responsive interfaces.
Integrate APIs into web apps to improve interactivity and user engagement.
Optimize user experience using LangChain’s advanced customization features.
Analyze user behavior data to fine-tune web app performance and experience.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level education professionals who wish to apply AI and AR/VR technologies to design interactive and personalized learning experiences for students.
By the end of this training, participants will be able to:
Understand the role of AI in AR/VR for education.
Implement AR/VR solutions for immersive learning environments.
Design personalized education systems using AI.
Evaluate the ethical and privacy concerns of AI in education.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
Understand the basics of API integration with LangChain.
Automate repetitive workflows using LangChain and Python.
Utilize LangChain to connect various APIs for efficient business processes.
Create and automate custom workflows using APIs and LangChain’s automation capabilities.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgery simulations, and rehabilitation.
By the end of this training, participants will be able to:
Understand the role of AI in enhancing AR/VR experiences in healthcare.
Use AR/VR for surgery simulations and medical training.
Apply AR/VR tools in patient rehabilitation and therapy.
Explore the ethical and privacy concerns in AI-enhanced medical tools.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level data professionals who wish to use LangChain to enhance their data analysis and visualization capabilities.
By the end of this training, participants will be able to:
Automate data retrieval and cleaning using LangChain.
Conduct advanced data analysis using Python and LangChain.
Create visualizations with Matplotlib and other Python libraries integrated with LangChain.
Leverage LangChain for generating natural language insights from data analysis.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level professionals who wish to apply AI-driven AR/VR technologies in industrial settings.
By the end of this training, participants will be able to:
Understand the role of AI in enhancing AR/VR for industrial use.
Apply AR/VR solutions to optimize manufacturing and maintenance tasks.
Integrate AI algorithms for predictive maintenance in AR/VR environments.
Develop AI-augmented AR/VR applications to improve worker training and safety.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.
By the end of this training, participants will be able to:
Understand the role of AI and machine learning in automating software development tasks.
Implement AI tools to generate code, tests, and documentation.
Apply AI techniques for code optimization, quality assurance, and debugging.
Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
Address ethical considerations and challenges in AI-augmented software engineering.
This instructor-led, live training in Graz (online or onsite) is aimed at advanced-level data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
By the end of this training, participants will be able to:
Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud.
Utilize cloud-based APIs and services to enhance LangChain-powered applications.
Scale and deploy conversational agents to the cloud for real-time interaction.
Implement monitoring and security best practices in cloud environments.
This instructor-led, live training in Graz (online or onsite) is aimed at advanced-level professionals who wish to master AI integration for creating cutting-edge AR/VR systems with improved performance and interactivity.
By the end of this training, participants will be able to:
Implement advanced AI algorithms in AR/VR systems for optimization.
Develop AI-driven interactive environments and objects.
Apply machine learning to enhance user experience and personalization.
Optimize real-time processing and performance using AI.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.
By the end of this training, participants will be able to:
Grasp the key concepts and importance of AI trust, risk, and security management.
Identify and mitigate risks associated with AI systems.
Implement security best practices for AI.
Understand regulatory compliance and ethical considerations for AI.
Develop strategies for effective AI governance and management.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its application in building conversational agents.
Develop and deploy conversational agents using LangChain.
Integrate conversational agents with APIs and external services.
Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
This instructor-led, live training in Graz (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 Graz (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 Graz (online or onsite) is aimed at intermediate-level professionals who wish to implement AI in AR/VR applications for enhanced gaming and entertainment experiences.
By the end of this training, participants will be able to:
Understand AI’s role in gaming and entertainment AR/VR applications.
Implement AI-driven non-player characters (NPCs) in immersive environments.
Create personalized user experiences with AI algorithms.
Develop AR/VR gaming systems using AI for real-time processing.
This instructor-led, live training in Graz (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
Design and implement complex workflows using n8n's visual programming interface.
Integrate AI capabilities into workflows using LangChain.
Build custom chatbots and virtual assistants for various use cases.
Perform advanced data analysis and processing with AI agents.
This instructor-led, live training in Graz (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 Graz (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.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level professionals who wish to learn how to apply AI techniques to AR and VR systems.
By the end of this training, participants will be able to:
Understand the basics of AI and its role in AR/VR technologies.
Explore key AI-driven techniques for enhancing AR/VR experiences.
Implement simple AI models in AR/VR applications.
Use AI to improve interactivity and user experiences in AR/VR.
This instructor-led, live training in Graz (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 Graz (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 Graz (online or onsite) is aimed at advanced-level AI developers and enterprise architects who wish to customize and deploy Qwen for various enterprise applications.
By the end of this training, participants will be able to:
Customize Qwen to meet specific enterprise needs.
Deploy Qwen in a cloud or on-premise environment.
Integrate Qwen with existing enterprise systems and applications.
Monitor and optimize the performance of Qwen-based solutions.
This instructor-led, live training in Graz (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.
This instructor-led, live training in Graz (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
Grasp the fundamental principles of LangChain.
Set up and configure the LangChain environment.
Understand the architecture and how LangChain interacts with large language models (LLMs).
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level customer service managers and automation specialists who wish to leverage Quark for automating customer support operations and improving efficiency.
By the end of this training, participants will be able to:
Understand the key features and functionalities of Quark.
Automate customer service workflows using Quark.
Integrate Quark with existing customer support systems.
Monitor and optimize automated customer interactions.
This instructor-led, live training in Graz (online or onsite) is aimed at intermediate-level AI engineers and software developers who wish to build intelligent agents using Quark for tasks such as process automation, dynamic decision-making, and workflow optimization.
By the end of this training, participants will be able to:
Understand the architecture and capabilities of Quark.
Design and implement intelligent agents using Quark for automation tasks.
Integrate Quark with existing systems for data processing and decision-making.
Develop real-time decision-making workflows using Quark.
This instructor-led, live training in Graz (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 Graz (online or onsite) is aimed at intermediate-level AI and cybersecurity professionals who wish to understand and address the security vulnerabilities specific to AI models and systems, particularly in highly regulated industries such as finance, data governance, and consulting.
By the end of this training, participants will be able to:
Understand the types of adversarial attacks targeting AI systems and methods to defend against them.
Implement model hardening techniques to secure machine learning pipelines.
Ensure data security and integrity in machine learning models.
Navigate regulatory compliance requirements related to AI security.
This instructor-led, live training in Graz (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 Graz (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.
By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its components.
Integrate LangChain with large language models (LLMs) like GPT-4.
Build modular AI applications using LangChain.
Troubleshoot common issues in LangChain applications.
This instructor-led, live training in Graz (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.
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.
This instructor-led, live training in Graz (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights.
By the end of this training, participants will be able to:
Leverage AI software to improve the way brands connect to users.
Use chatbots to optimize the user-experience.
Increase productivity and revenue through the automation of tasks.
This instructor-led, live training in Graz (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.
By the end of this training, participants will be able to:
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.
In this instructor-led, live training in Graz (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 Graz (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 Graz (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 (23)
its knowledge and utilization of AI for Robotics in the Future.
Ryle - PHILIPPINE MILITARY ACADEMY
Course - Artificial Intelligence (AI) for Robotics
Very good knowledge of trainer. Good support during commissioning and exercises.
Wilhem - e.solutions GmbH
Course - LLMs for Code Generation and Documentation
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)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!
Giorgi Ediberidze
Course - Quantum Computing with IBM Quantum Experience
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course - Introduction to R with Time Series Analysis
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
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