人工智能培训

我非常欣赏培训师的授课方式。即使Finance不是我的专业领域，我也能理解所有内容。他确保每位参与者都能跟上进度，同时合理安排时间。练习的间隔也很恰当。Communication与参与者的互动始终存在。材料非常合适，不多不少。他对一些较为复杂的内容进行了很好的阐述，确保每个人都能理解。

Diana

课程 - ChatGPT for Finance

机器翻译

它对人工智慧的知识和利用在未来Robotics。

Ryle - PHILIPPINE MILITARY ACADEMY

课程 - Artificial Intelligence (AI) for Robotics

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提示工程部分

Michal - GE HealthCare

课程 - Generative AI with Large Language Models (LLMs)

机器翻译

主题及其呈现方式。

Mark Mackintosh - IUM Insurance

课程 - ChatGPT for Executives

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亨特很棒，非常有吸引力，知识渊博，风度翩翩。 做得很好。

Rick Johnson - Laramie County Community College

课程 - Artificial Intelligence (AI) Overview

机器翻译

我喜欢索尼娅与观众互动的方式，她让网络研讨会变得生动起来，不像其他网络研讨会那样无聊。我也对 ChatGPT 感到惊讶，真的令人印象深刻。

NURUL FARIHAH BINTI ABD MALEK - HRD CORP

课程 - ChatGPT for Accounting

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他获得观众的方式

Venkata Narasimha Murthy - 6Point6

课程 - ChatGPT for Automation

机器翻译

为人力资源目的整合chatgpt的案例

Clelia - Proximus

课程 - ChatGPT for Human Resources

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主题的曝光方式非常有趣和有趣

Ivan - si

课程 - Artificial Intelligence (AI) for Managers

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Practical examples in Insurance

Viren - Hollard Insure

课程 - ChatGPT

Understanding big data beter

Shaune Dennis - Vodacom

课程 - Big Data Business Intelligence for Telecom and Communication Service Providers

The detail in which the instructor explained all the concepts.

Privolin Naidoo - Vodacom

课程 - 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

课程 - 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

课程 - Computer Vision with Python

Subject presentation knowledge timing

Aly Saleh - FAB banak Egypt

课程 - 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

课程 - Quantum Computing with IBM Quantum Experience

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

课程 - Natural Language Processing with TensorFlow

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

课程 - 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

课程 - 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

课程 - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

课程 - Computer Vision with OpenCV

I did like the exercises.

Office for National Statistics

课程 - Natural Language Processing with Python

He was very informative and helpful.

Pratheep Ravy

课程 - Predictive Modelling with R