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Thanks to our support, the percentage of candidates who obtain the certification at the first attempt is very close to 100%.
 

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Artificial Intelligence

 

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Attending one of the courses of this category and passing the related skills assessment test, you will get the "Artificial Intelligence" CERTIFIED ENGINEER Digital Badge to share on your preferred Social Networks.

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Discovering Artificial Intelligence

Code: KLA-DISCAI

Duration: 1 day

Level: Non Technical Skills

Main Category

     AI

Related Categories

     DATA

 

Artificial Intelligence Course

COURSE DESCRIPTION

The course aims to discover the disruptive impact of Artificial Intelligence in all kind of business. The course is oriented to administrative staff, managers and other job functions who wish to understand Artificial Intelligence and how AI revolution can help to enhance decision-making, streamline processes, and faster innovation. The course will present the Artificial Intelligence evolution, from Machine Learning till the Generative AI, exploring applications and business AI oriented use cases.

Artificial Intelligence Fundamentals

Code: KLA-AIFUND

Duration: 4 days

Level: Basic 

Main Category

     AI

Related Categories

     DATA

Artificial Intelligence Fundamentals

COURSE DESCRIPTION

The course provides from scratch the theory and the tools to understand and use the AI technology. The entire development and production chain of a ML system is examined, starting from the Data Mining and Feature Engineering stages and going on developing and maintaining a ML model. Neural Networks and Deep Learning are also addressed to enable advanced application as computer vision, natural language processing, automatic programming and much more. All the covered topics are supported by use-cases and lab activities.

Machine Learning Technology and Practice

Machine Learning intermediate course

Code: KLA-MLEARN

Duration: 3 days

Level: Intermediate

Main Category

     AI

Related Categories

     DATA

COURSE DESCRIPTION

In this course, you will learn about the most effective machine learning techniques and gain practice implementing them and getting them to work. Moreover, you will learn about not only the theoretical underpinnings of learning, but also the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you will learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.

Deep Learning Using Artificial Neural Network

Code: KLA-DLEARN

Duration: 3 days

Level: Intermediate 

Main Category

     AI

Related Categories

     DATA

Deep Learning Intermediate course

COURSE DESCRIPTION

This course presents the mathematical, statistical and computational challenges of building stable representations for high-dimensional data, such as images, text and data. We will delve into selected topics of Deep Learning, discussing recent models from both supervised and unsupervised learning. Special emphasis will be given to convolutional architectures, invariance learning, unsupervised learning and non-convex optimization.

Implementing Chatbots - How to Build, Use and Configure

Code: KLA-CHATBT

Duration: 2 days

Level: Basic

Main Category

     AI

Related Categories

     CODING

Understand Chatbot fundamentals course

COURSE DESCRIPTION

This course aims to understand Chatbot fundamentals, analyze what a chatbot is and how it operates, illustrate the advantages and discuss the typical use cases. Thanks to this course we can demonstrate creating a chatbot without programming experience and present user-friendly chatbot development platforms, like Google DialogFlow. Furthermore, after the creation and first usage, we will discuss best practice configuration and tuning chatbots in order to fit into daily activities and the optimization of existing processes with the assistance of chatbots.

AI Prompt Engineering for Intelligent Dialogue Design

Code: KLA-AIPRMP

Duration: 1 day

Level: Basic

Main Category

      AI 

 

AI Prompt Engineering course

COURSE DESCRIPTION

Would you like to have an effective conversation with GenAI applications such as ChatGPT? This course aims to provide participants with the skills necessary to design and implement effective prompts for advanced language models. Students will gain an in-depth understanding of the theory behind prompt engineering and develop practical skills for creating input that generates desired responses.

Exploring Generative AI Creative Algorithms

Code: KLA-GENAI

Duration: 2 days

Level: Basic

Main Category

     AI   

Related Categories

     CODING

Exploring Generative AI Creative Algorithms basic course

COURSE DESCRIPTION

The objective of this course is to provide a general overview of Generative AI,
addressing the basic concepts and offering practical examples. The course will
therefore provide a basic understanding of Generative AI, reviewing the concepts
of Machine Learning, Deep Learning and Artificial Neural Networks. It will then introduce
participants to the fundamental concepts of Generative AI through practical examples and success stories.

Python for Artificial Intelligence

Code: KLA-PYTNAI

Duration: 2 days

Level: Advanced

Main Category

     AI

Related Categories

     CODING

Course Python for Artificial Intelligence

COURSE DESCRIPTION

The course “Python for AI” is an in-depth exploration of the critical Python libraries and frameworks that form the backbone of Artificial Intelligence (AI) development. Designed for technical enthusiasts and aspiring AI practitioners, this course provides an exhaustive understanding of the essential tools and resources required to create cutting-edge AI solutions.

Python for Data Science

Code: KLA-PYTHDS

Duration: 2 days

Level: Advanced

Main Category 

     DATA

Related Categories

     AI

     CODING

Course Python for Data Science

COURSE DESCRIPTION

The objective of this course is to get started with Python as the programming language and give a taste of how to start working with data in Python. You will learn these tools all within the context of solving compelling data science problems. After completing this course, you will be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it and ultimately generate easily shareable reports.