
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. Macao 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
Testimonials
He was very informative and helpful.
Pratheep Ravy
Course: Predictive Modelling with R
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
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
The interactive part, tailored to our specific needs.
Thomas Stocker
Course: Introduction to the use of neural networks
I did like the exercises.
Office for National Statistics
Course: Natural Language Processing with Python
I genuinely enjoyed the hands-on approach.
Kevin De Cuyper
Course: Computer Vision with OpenCV
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course: Data Mining & Machine Learning with R
The topic is very interesting.
Wojciech Baranowski
Course: Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
Course: Introduction to Deep Learning
Topic. Very interesting!.
Piotr
Course: Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Dolby Poland Sp. z o.o.
Course: Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
Course: Introduction to Deep Learning
The global overview of deep learning.
Bruno Charbonnier
Course: Advanced Deep Learning
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD
Course: Advanced Deep Learning
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis
Course: Advanced Deep Learning
I really appreciated the crystal clear answers of Chris to our questions.
Léo Dubus
Course: Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple
I generally enjoyed the knowledgeable trainer.
Sridhar Voorakkara
Course: Neural Networks Fundamentals using TensorFlow as Example
I was amazed at the standard of this class - I would say that it was university standard.
David Relihan
Course: Neural Networks Fundamentals using TensorFlow as Example
Very good all round overview. Good background into why Tensorflow operates as it does.
Kieran Conboy
Course: Neural Networks Fundamentals using TensorFlow as Example
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
Course: Neural Networks Fundamentals using TensorFlow as Example
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
Sebastiaan Holman
Course: Machine Learning and Deep Learning
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
Jean-Paul van Tillo
Course: Machine Learning and Deep Learning
I really enjoyed the coverage and depth of topics.
Anirban Basu
Course: Machine Learning and Deep Learning
I liked the new insights in deep machine learning.
Josip Arneric
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
I mostly enjoyed the graphs in R :))).
Faculty of Economics and Business Zagreb
Course: Neural Network in R
The deep knowledge of the trainer about the topic.
Sebastian Görg
Course: Introduction to Deep Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course: TensorFlow for Image Recognition
Very flexible.
Frank Ueltzhöffer
Course: Artificial Neural Networks, Machine Learning and Deep Thinking
I generally enjoyed the flexibility.
Werner Philipp
Course: Artificial Neural Networks, Machine Learning and Deep Thinking
Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.
Commerzbank AG
Course: Neural Networks Fundamentals using TensorFlow as Example
I was benefit from topic selection. Style of training. Practice orientation.
Commerzbank AG
Course: Neural Networks Fundamentals using TensorFlow as Example
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course: Python for Advanced Machine Learning
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
This is one of the best quality online training 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
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 content, as I found it very interesting and think it would help me in my final year at University.
Krishan Mistry - NBrown Group
Course: From Data to Decision with Big Data and Predictive Analytics
I genuinely liked excercises
L M ERICSSON LIMITED
Course: Machine Learning
I liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED
Course: Machine Learning
The Jupyter notebook form, in which the training material is available
L M ERICSSON LIMITED
Course: Machine Learning
There were many exercises and interesting topics.
L M ERICSSON LIMITED
Course: Machine Learning
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
L M ERICSSON LIMITED
Course: Machine Learning
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.
Attila Nagy - L M ERICSSON LIMITED
Course: Machine Learning
The easy use of the VideoCapture functionality to acquire video images from laptop camera.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
It was easy to follow.
HP Printing and Computing Solutions, Sociedad Limitada Unipe
Course: Computer Vision with OpenCV
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course: Introduction to R with Time Series Analysis
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Course: Advanced Deep Learning
It is one on one. I can ask a lot of question and also ask the trainner to repeat when I was not clear about some stuff.
Course: Insurtech: A Practical Introduction for Managers
This is one of the best quality online training 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
It is one on one. I can ask a lot of question and also ask the trainner to repeat when I was not clear about some stuff.
Course: Insurtech: A Practical Introduction for Managers
Artificial Intelligence (AI) Subcategories in Macao
Artificial Intelligence Course Outlines in Macao
- 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.
- 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 key concepts and principles behind Generative Pre-trained Transformers.
- Comprehend the architecture and training process of GPT models.
- Utilize GPT-3 for tasks such as text generation, completion, and translation.
- Explore the latest advancements in GPT-4 and its potential applications.
- Apply GPT models to their own NLP projects and tasks.
- 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.
- Understand the concepts behind DALL-E and DALL-E 2.
- Use DALL-E and DALL-E 2 to generate images from prompts.
- Fine-tune DALL-E and DALL-E 2 on a custom dataset.
- Understand the basics of ChatGPT and how it works.
- Use ChatGPT to generate compelling marketing copy, blog posts, and social media content.
- Develop a ChatGPT-powered chatbot to improve customer support and engagement.
- Implement ChatGPT into their marketing strategy to save time and increase efficiency.
- 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.
- Understand how Vertex AI works and use it as a machine learning platform.
- Learn about machine learning and NLP concepts.
- Know how to train and deploy machine learning models using Vertex AI.
- Understand the principles of distributed deep learning.
- Install and configure DeepSpeed.
- Scale deep learning models on distributed hardware using DeepSpeed.
- Implement and experiment with DeepSpeed features for optimization and memory efficiency.
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