Chongqing World Financial Center

19/F, MinZu Road No. 188, Chongqing, China, 400010
Chongqing World Financial Center is a postmodern-style skyscraper located in the commercial center of the most prosperous dow...

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Conversational AI

Explore Our Courses

AI Coding Assistants: Enhancing Developer Productivity

 7 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.By the end of this training, participants will be able to:
  • Understand the role and capabilities of AI coding assistants in software development.
  • Utilize various AI coding assistant tools to automate routine coding tasks.
  • Integrate AI coding assistants into their software development lifecycle.
  • Enhance their productivity and focus on more complex and creative programming tasks.
  • Address ethical considerations and responsible use of AI in software development.
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AI-Augmented Software Engineering (AIASE)

 14 Hours
This instructor-led, live training in Chongqing (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.
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Introduction to AI Trust, Risk, and Security Management (AI TRiSM)

 21 Hours
This instructor-led, live training in Chongqing (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.
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Fundamentals of Intelligent Driving

 21 Hours
This instructor-led, live training in Chongqing (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.
  • Simulate and control driving schedules and costs.
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Introduction to Artificial Intelligence (AI)

 35 Hours
This instructor-led, live training in Chongqing (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.
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Introduction to Bing AI: Enhancing Search with Artificial Intelligence

 14 Hours
This instructor-led, live training in Chongqing (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.
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Introduction to Data Science and AI using Python

 35 Hours
This is a 5 day introduction to Data Science and Artificial Intelligence (AI). The course is delivered with examples and exercises using Python 
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Applied AI from Scratch in Python

 28 Hours
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course. 
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent. By the end of this training, participants will be able to:
  • Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
  • Apply advanced Reinforcement Learning algorithms to solve real-world problems.
  • Build a Deep Learning Agent.
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IBM Cloud Pak for Data

 14 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions. By the end of this training, participants will be able to:
  • Install and configure Cloud Pak for Data.
  • Unify the collection, organization and analysis of data.
  • Integrate Cloud Pak for Data with a variety of services to solve common business problems.
  • Implement workflows for collaborating with team members on the development of an AI solution.
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Artificial Intelligence (AI) Overview

 7 Hours
This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development.
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AI in Digital Marketing

 7 Hours
This instructor-led, live training in Chongqing (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.
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Artificial Intelligence (AI) for Managers

 7 Hours
This instructor-led, live training in Chongqing (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.
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Artificial Intelligence (AI) for Robotics

 21 Hours
This instructor-led, live training in Chongqing (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.
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AI and Robotics for Nuclear - Extended

 120 Hours
In this instructor-led, live training in Chongqing (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.
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AI and Robotics for Nuclear

 80 Hours
In this instructor-led, live training in Chongqing (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.
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AI in business and Society & The future of AI - AI/Robotics

 7 Hours
This is a classroom based training session in a presentation and Q&A format
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Intelligent Testing

 14 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment. By the end of this training, participants will be able to:
  • Automate unit test generation and parameterization with AI.
  • Apply machine learning learning in a real world use-case.
  • Automate the generation and maintenance of API tests with AI.
  • Use machine learning methods to self-heal the execution of Selenium tests.
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OptaPlanner in Practice

 21 Hours
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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UiPath for Intelligent Process Automation (IPA)

 14 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to:
  • Install and configure UiPath IPA.
  • Enable robots to manage other robots.
  • Apply computer vision to locate screen objects with accuracy.
  • Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.
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Artificial Intelligence (AI) in Automotive

 14 Hours
This course covers AI (emphasizing Machine Learning and Deep Learning) in Automotive Industry. It helps to determine which technology can be (potentially) used in multiple situation in a car: from simple automation, image recognition to autonomous decision making.
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From Zero to AI

 35 Hours
This course is created for people who have no previous experience in probability and statistics.
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Artificial Neural Networks, Machine Learning, Deep Thinking

 21 Hours
Artificial Neural Network is a computational data model used in the development of Artificial Intelligence (AI) systems capable of performing "intelligent" tasks. Neural Networks are commonly used in Machine Learning (ML) applications, which are themselves one implementation of AI. Deep Learning is a subset of ML.
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Applied AI from Scratch

 28 Hours
This is a 4 day course introducing AI and it's application. There is an option to have an additional day to undertake an AI project on completion of this course. 
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Applied Machine Learning

 14 Hours
This training course is for people that would like to apply Machine Learning in practical applications. Audience This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work. Sector specific examples are used to make the training relevant to the audience.
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Deep Learning Neural Networks with Chainer

 14 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at researchers and developers who wish to use Chainer to build and train neural networks in Python while making the code easy to debug. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing neural network models.
  • Define and implement neural network models using a comprehensible source code.
  • Execute examples and modify existing algorithms to optimize deep learning training models while leveraging GPUs for high performance.
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Pattern Recognition

 21 Hours
This instructor-led, live course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired.
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Introduction Deep Learning & Réseaux de neurones pour l’ingénieur

 21 Hours
Artificial intelligence has revolutionized a large number of economic sectors (industry, medicine, communication, etc.) after having upset many scientific fields. Nevertheless, his presentation in the major media is often a fantasy, far removed from what really are the fields of Machine Learning or Deep Learning. The aim of this course is to provide engineers who already have a master's degree in computer tools (including a software programming base) an introduction to Deep Learning as well as to its various fields of specialization and therefore to the main existing network architectures today. If the mathematical bases are recalled during the course, a level of mathematics of type BAC + 2 is recommended for more comfort. It is absolutely possible to ignore the mathematical axis in order to maintain only a "system" vision, but this approach will greatly limit your understanding of the subject.
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Matlab for Deep Learning

 14 Hours
In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network for image recognition. By the end of this training, participants will be able to:
  • Build a deep learning model
  • Automate data labeling
  • Work with models from Caffe and TensorFlow-Keras
  • Train data using multiple GPUs, the cloud, or clusters
Audience
  • Developers
  • Engineers
  • Domain experts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Artificial Intelligence (AI) for Mechatronics

 21 Hours
This instructor-led, live training in Chongqing (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to:
  • Gain an overview of artificial intelligence, machine learning, and computational intelligence.
  • Understand the concepts of neural networks and different learning methods.
  • Choose artificial intelligence approaches effectively for real-life problems.
  • Implement AI applications in mechatronic engineering.
Read more...

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Testimonials (23)

I really appreciated Vincent's enthusiasm, professionalism and knowledge. I was able to do well-guided and illustrated practical exercises, directly applying the AI tool in the context of my professional activity as a communications manager for unions. This was made possible by the interview prior to the 2-day training to determine the training program.

Claude - Internationale de l'Éducation
Course - ChatGPT for Content Creation

Machine Translated

His way of gaining audience

Venkata Narasimha Murthy - 6Point6
Course - ChatGPT for Automation

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL
Course - Machine Learning and Deep Learning

Last day with the AI

Ovidiu - DB Global Technology SRL
Course - Machine Learning and Deep Learning

Exercises and exchanges during questions/answers

Antoine - Physiobotic
Course - Scaling Data Pipelines with Spark NLP

Machine Translated

The good humor, support and skills of the trainer.

Oumayma - Physiobotic
Course - Scaling Data Pipelines with Spark NLP

Machine Translated

Specific knowledge provided in an accessible way. Answering questions and dispelling doubts

Szymon - Web INnovative Software Sp. z o.o.
Course - ChatGPT (GPT-4) for Developers

Machine Translated

balance between lectures and workshops

Bartek - Web INnovative Software Sp. z o.o.
Course - ChatGPT (GPT-4) for Developers

Machine Translated

The trainer showed that he has a good understanding of the subject.

Marino - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days

It was a great intro to ML!! I liked the whole thing, really. The organization was perfect. The right amount of time for lectures/ demos and just us playing around. Lots of topics were touched, just at the right level. He was also very good at keeping us super engaged, even without any camera being on.

Zsolt - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days

How she could engage with us on all levels

Cheryl - Tuffias Sandberg
Course - ChatGPT for Human Resources

The slides, being able to ask questions and the trainer going above and beyond to assist us

Michaela - Tuffias Sandberg
Course - ChatGPT for Human Resources

examples and exercises

Kamil
Course - Introduction to Data Science and AI using Python

Machine Translated

Interesting knowledge

Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days

Real life examples.

Craig - Hollard Insure
Course - ChatGPT

Gaurav's clear explanations and practical application examples.

Neil - Hollard Insure
Course - ChatGPT

All the information presented

Jose Victor - si
Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

Fantastic training, one of the best I have ever attended! The moderator, Rafal, provided excellent answers to the issues raised and explained all the methods very thoroughly. JestI am very satisfied and will gladly take advantage of the training conducted by this trainer again.

Darek Paszkowski - Orange Szkolenia Sp. z o.o.

Machine Translated

Drawings on a flipchart, the entire training.

Kasia Nawrot - Orange Szkolenia Sp. z o.o.

Machine Translated

The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.

Fabien Follet - Autoliv

Machine Translated

The skills of the trainer, and the good atmosphere.

Sébastien CADET - Autoliv

Machine Translated

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics

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