
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. Onsite live Artificial Intelligence (AI) training can be carried out locally on customer premises in the UK or in NobleProg corporate training centres in the UK.
NobleProg -- Your Local Training Provider
Testimonials
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.
Jonathan Blease
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
I did like the exercises
Office for National Statistics
Course: Natural Language Processing with Python
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
The trainers knowledge of the topics he was teaching.
Premier Partnership
Course: Python for Advanced Machine Learning
Having access to the notebooks to work through
Premier Partnership
Course: Python for Advanced Machine Learning
Trainer was very knowledgeable and open to questions, liked to draw diagrams and explained things in a pretty good way
Course: Deep Learning with TensorFlow 2.0
I liked how engaging Gunnar was and going through the exercises. I really enjoyed it
Premier Partnership
Course: Fundamentals of Reinforcement Learning
Helpful and good listener .. interactive
Ahmed El Kholy - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Subject presentation knowledge timing
Aly Saleh - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Learning new language.
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
uno de las practicas
JONATHAN MARIANO, si
Course: Artificial Intelligence (AI) for Managers
El conocimiento y manejo del tema del instructor
Zaira N. - JONATHAN MARIANO, si
Course: Artificial Intelligence (AI) for Managers
lo innovador porque es algo que ya lo estamos viviendo.
jesus isaias - JONATHAN MARIANO, si
Course: Artificial Intelligence (AI) for Managers
Working from first principles in a focused way, and moving to applying case studies within the same day
Maggie Webb - Margaret Elizabeth Webb, Department of Jobs, Regions, and Precincts
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
Working with real industry-leading ML tools, real datasets and being able to consult with a very experienced data scientist.
Zakład Usługowy Hakoman Andrzej Cybulski
Course: Applied AI from Scratch in Python
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Course: Applied AI from Scratch in Python
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
Course: Applied AI from Scratch in Python
Very flexible
Frank Ueltzhöffer
Course: Artificial Neural Networks, Machine Learning and Deep Thinking
Abhi always made sure we were following along. Good mix of practice and theory.
Margaret Elizabeth Webb, Department of Jobs, Regions, and Precincts
Course: Deep Reinforcement Learning with Python
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Explore
Course: Deep Reinforcement Learning with Python
Really simple, easy to follow explanations Covered everything necessary in enough detail to understand fully, but so that it was not overwhelming good mix of theory and practice
Margaret Elizabeth Webb, Department of Jobs, Regions, and Precincts
Course: Introduction to the use of neural networks
the interactive part, tailored to our specific needs
Thomas Stocker
Course: Introduction to the use of neural networks
Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.
Gudrun Bickelq
Course: Introduction to the use of neural networks
Graphs in R :)))
Faculty of Economics and Business Zagreb
Course: Neural Network in R
We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.
Tea Poklepovic
Course: Neural Network in R
new insights in deep machine learning
Josip Arneric
Course: Neural Network in R
This is one of the best quality online trainings I have ever taken in my 13 year career. Keep up the great work!
Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
This is one of the best hands-on with exercises programmeming courses I have ever taken.
Laura Kahn
Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
About face area.
中移物联网
Course: Deep Learning for NLP (Natural Language Processing)
The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.
Accenture Inc
Course: Python for Natural Language Generation
the last day. generation part
Accenture Inc
Course: Python for Natural Language Generation
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
Very knowledgeable
Usama Adam - TWPI
Course: Natural Language Processing with TensorFlow
The way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI
Course: Natural Language Processing with TensorFlow
Organisation, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course: Natural Language Processing with TensorFlow
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
Understanding big data beter
Shaune Dennis - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
Good detail on what R is used for and how to start using it right away
Hoss Shenassa - Trimac Management Services LP
Course: Introduction to R with Time Series Analysis
The remote classroom setting worked very well
Trimac Management Services LP
Course: Introduction to R with Time Series Analysis
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course: Introduction to R with Time Series Analysis
Practical exercises with R were very helpful.
CEED Bulgaria
Course: Predictive Modelling with R
The exercises.
Elena Velkova - CEED Bulgaria
Course: Predictive Modelling with R
Trainer was very knowledgeable and open to questions, liked to draw diagrams and explained things in a pretty good way
Course: Deep Learning with TensorFlow 2.0
This is one of the best quality online trainings I have ever taken in my 13 year career. Keep up the great work!
Course: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
I like that it focuses more on the how-to of the different text summarization methods
Course: Text Summarization with Python
Artificial Intelligence Subcategories
AI Course Outlines
- Understand the capabilities of ChatGPT and its relevance to VC and PE.
- Utilize ChatGPT to analyze investment opportunities and market trends.
- Incorporate ChatGPT into due diligence processes.
- Develop custom ChatGPT models for VC/PE applications.
- Understand the potential of ChatGPT in project management.
- Deploy and configure ChatGPT for project-specific use cases.
- Utilize ChatGPT for communication and collaboration in project teams.
- Automate repetitive tasks and generate insights using ChatGPT.
- Apply best practices for efficient and ethical use of ChatGPT in project management.
- Understand the role and benefits of ChatGPT in public relations and crisis management.
- Deploy and configure ChatGPT for crisis communication and public inquiries.
- Utilize ChatGPT to provide accurate and timely responses during crises.
- Implement strategies for managing online reputation using ChatGPT.
- Apply best practices for ethical and responsible use of ChatGPT in public relations.
- Understand the role of ChatGPT in business intelligence and reporting.
- Learn how to deploy and utilize ChatGPT for data analysis and reporting tasks.
- Apply ChatGPT to generate insights, perform data visualization, and automate reporting.
- Optimize data interpretation and decision-making using ChatGPT.
- Incorporate best practices to ensure accurate and reliable results with ChatGPT.
- Understand the potential of ChatGPT in the insurance industry.
- Know how to deploy and configure ChatGPT for insurance-specific use cases.
- Utilize ChatGPT to enhance customer support and provide personalized assistance.
- Optimize claims processing and automate routine tasks using ChatGPT.
- Apply best practices to ensure efficient and compliant use of ChatGPT in insurance.
- Understand the basics of ChatGPT and its limitations.
- Install and configure ChatGPT plugins.
- Use ChatGPT plugins to extend ChatGPT's functionality.
- Apply plugins to solve real-world problems.
- Create custom ChatGPT plugins in Python and deploy them.
- Understand the fundamentals of ChatGPT and its role in automation.
- Utilize ChatGPT to automate tasks and processes.
- Develop custom automation solutions using ChatGPT.
- Apply best practices for leveraging ChatGPT in automation projects.
- Understand the fundamentals of ChatGPT and its applications in product development.
- Use ChatGPT to generate innovative product ideas and conduct user research.
- Implement ChatGPT in prototyping and iterative design processes.
- Enhance customer support and user engagement with ChatGPT.
- Understand the capabilities and limitations of ChatGPT for market research.
- Utilize ChatGPT for automated data analysis and customer sentiment analysis.
- Apply ChatGPT to generate insights and recommendations for market research projects.
- Customize and fine-tune ChatGPT models for specific market research needs.
- Understand the fundamentals of virtual assistants and conversational AI.
- Utilize ChatGPT to build conversational flows for virtual assistants.
- Implement natural language understanding (NLU) techniques with ChatGPT.
- Enhance virtual assistants with personalized responses and user context.
- Fine-tune and optimize ChatGPT models for virtual assistant applications.
- Understand the capabilities and potential applications of ChatGPT in sales enablement.
- Utilize ChatGPT to generate leads, qualify prospects, and optimize the sales funnel.
- Leverage ChatGPT for sales support, including objection handling, product recommendations, and competitor analysis.
- Create custom ChatGPT models tailored to specific sales use cases.
- Understand the fundamentals of ChatGPT and its applications in education and training.
- Use ChatGPT to enhance teaching and instructional design.
- Leverage ChatGPT for personalized learning experiences.
- Automate administrative tasks with ChatGPT.
- Create custom ChatGPT models for specific educational and training use cases.
- Understand the basics of ChatGPT and its applications in Human Resources.
- Utilize ChatGPT to automate HR tasks such as answering frequently asked questions and providing employee support.
- Apply ChatGPT in recruitment processes, including candidate screening and interview assistance.
- Utilize ChatGPT for HR analytics and extracting insights from employee data.
- Customize ChatGPT for specific HR use cases.
- Understand the fundamentals of ChatGPT and its application in accounting.
- Use ChatGPT to automate routine accounting tasks, such as data entry and report generation.
- Analyze financial data and extract insights using ChatGPT.
- Improve financial reporting with the assistance of ChatGPT.
- Implement ChatGPT into their accounting workflows to increase efficiency and accuracy.
- Understand the fundamentals of ChatGPT and its application in the banking sector.
- Utilize ChatGPT to enhance customer interactions and provide personalized financial guidance.
- Automate routine banking tasks using ChatGPT.
- Implement ChatGPT for compliance and risk management in banking operations.
- Understand the architecture and working principles of ChatGPT.
- Utilize the ChatGPT API to interact with the model programmatically.
- Develop conversational agents and chatbots using ChatGPT.
- Explore new features and functionalities offered by GPT-4 to enhance their applications.
- Customize and fine-tune ChatGPT for specific applications.
- Understand the fundamentals of ChatGPT and its application in the legal field.
- Utilize ChatGPT to automate legal research, document generation, and contract analysis.
- Apply ChatGPT for legal decision-making, case analysis, and legal writing.
- Implement ethical considerations and quality control measures when using ChatGPT in legal services.
- Understand the fundamentals of ChatGPT and its applications in healthcare.
- Utilize ChatGPT to automate healthcare processes and interactions.
- Provide accurate medical information and support to patients using ChatGPT.
- Apply ChatGPT for medical research and analysis.
- Understand the fundamentals of ChatGPT and its applications in social media management.
- Utilize ChatGPT to automate social media interactions and responses.
- Generate engaging content with ChatGPT for various social media platforms.
- Analyze sentiment and trends using ChatGPT in social media management.
- Understand the fundamentals of ChatGPT and its applications in the e-commerce industry.
- Utilize ChatGPT for customer support and engagement in the e-commerce context.
- Implement ChatGPT to generate personalized product recommendations.
- Integrate ChatGPT into e-commerce platforms and websites.
- Understand the fundamentals of ChatGPT and its applications in data science and analytics.
- Utilize ChatGPT to assist in data exploration and analysis tasks.
- Leverage ChatGPT to generate insights and support decision-making processes.
- Implement best practices for integrating ChatGPT into data science workflows.
- Understand the fundamentals of ChatGPT and its applications in content creation.
- Utilize ChatGPT to generate creative ideas and overcome writer's block.
- Enhance content quality and relevance with the assistance of ChatGPT.
- Implement best practices for using ChatGPT in content creation workflows.
- Understand the fundamentals of ChatGPT and its applications in customer service.
- Utilize ChatGPT to provide personalized and efficient customer support.
- Develop automated chatbots powered by ChatGPT to handle customer inquiries.
- Implement best practices for leveraging ChatGPT in customer service scenarios.
- Understand the basics of ChatGPT and how it works.
- Use ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data with ChatGPT to gain insights and make informed decisions.
- Develop custom ChatGPT models for specific financial use cases.
- Explain what generative AI is and how it works.
- Describe the transformer architecture that powers LLMs.
- Use empirical scaling laws to optimize LLMs for different tasks and constraints.
- Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
- Discuss the opportunities and risks of generative AI for society and business.
- Understand the basics of ChatGPT and how it works.
- Identify potential use cases for ChatGPT in their business.
- Evaluate the benefits and risks of implementing ChatGPT in their business.
- Develop a strategy for integrating ChatGPT into their business operations.
- Understand the basics of ChatGPT and how it works.
- Use ChatGPT for keyword research and content optimization.
- Optimize their website using ChatGPT-powered tools.
- Implement ChatGPT into their SEO strategy to save time and increase efficiency.
- 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.
- Install and configure LightGBM.
- Understand the theory behind gradient boosting and decision tree algorithms
- Use LightGBM for basic and advanced machine learning tasks.
- Implement advanced techniques such as feature engineering, hyperparameter tuning, and model interpretation.
- Integrate LightGBM with other machine learning frameworks.
- Troubleshoot common issues in LightGBM.
- Understand advanced deep learning architectures and techniques for text-to-image generation.
- Implement complex models and optimizations for high-quality image synthesis.
- Optimize performance and scalability for large datasets and complex models.
- Tune hyperparameters for better model performance and generalization.
- Integrate Stable Diffusion with other deep learning frameworks and tools
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