Python Training in Kuala Lumpur

Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation, leveraging modern SDKs and frameworks such as LangChain and AutoGen to construct, link, and manage agent workflows.

Offered as an instructor-led live training (available online or onsite), this program is designed for intermediate-level backend engineers, platform engineers, and ML engineers looking to implement and orchestrate autonomous agents using Python tooling and APIs.

Upon completion of this training, participants will be able to:

• Set up and configure Python-based environments for agentic systems.
• Utilize popular agent SDKs, including LangChain and AutoGen, to develop functional agents.
• Integrate tools and APIs to expand agent capabilities.
• Orchestrate multi-agent workflows and communication patterns.
• Apply best practices for debugging, testing, and maintaining agentic codebases.

Course Format

• Interactive lectures and discussions.
• Hands-on programming exercises and live demonstrations.
• Practical projects focused on building end-to-end agent workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This course provides practical engineering techniques for designing, building, testing, and deploying agentic (autonomous) systems using Python. Key topics include the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations.

Delivered as an instructor-led, live training (available online or onsite), this program is designed for intermediate to advanced ML engineers, AI developers, and software engineers looking to create robust, production-ready autonomous agents using Python.

Upon completion, participants will be able to:

• Design and implement the agent loop and decision-making workflows.
• Integrate external tools and APIs to extend agent capabilities.
• Implement short-term and long-term memory architectures for agents.
• Coordinate multi-step orchestrations and agent composability.
• Apply safety, access control, and observability best practices for deployed agents.

Course Format

• Interactive lectures and discussions.
• Hands-on labs involving agent development with Python and popular SDKs.
• Project-based exercises resulting in deployable prototypes.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Artificial Intelligence with Python focuses on building intelligent systems by leveraging Python’s robust ecosystem of AI and machine learning libraries.

Delivered as an instructor-led live training (available online or onsite), this course is designed for intermediate-level Python programmers who aim to design, implement, and deploy AI solutions.

Upon completing this training, participants will be capable of:

• Implementing AI algorithms using Python’s core AI libraries.
• Working with supervised, unsupervised, and reinforcement learning models.
• Integrating AI solutions into existing applications and workflows.
• Evaluating model performance and optimizing for accuracy and efficiency.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.

By the end of this training, participants will be able to:

• Learn how Python can be integrated into Power BI for data analysis.
• Use Python scripts to load, clean, and preprocess data within the Power BI environment.
• Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
• Acquire advanced data analysis skills using Python.

Python is a versatile programming language widely used for data manipulation, automation, and analytics. Libraries like Pandas and Polars provide powerful, practical tools for working with tabular data at scale.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply Python for everyday data analysis, file processing, and process automation using Pandas and Polars.

By the end of this training, participants will be able to:

• Use Python to read, transform, and write CSV and Excel files.
• Perform common data cleaning and transformation tasks with Pandas and Polars.
• Automate repetitive data processes with Python scripts.
• Package simple scripts into executables and follow best practices for projects.

Format of the Course

• Interactive coding demonstrations and short lectures.
• Hands-on exercises with guided code examples.
• Practical mini-projects to automate real-world tasks.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at experienced developers who wish to gain a comprehensive understanding of Python programming and its applications in cybersecurity.

By the end of this training, participants will be able to:

• Use Python programming for defensive cybersecurity.
• Understand and use Python for ethical offensive techniques and digital forensics tasks.
• Recognize legal and ethical considerations surrounding offensive cybersecurity and vulnerability disclosure.

This intensive, practical course explores advanced Python techniques, engineering best practices, and widely used design patterns to help you build maintainable, testable, and high-performance Python applications. It focuses on modern tooling, typing, concurrency models, architectural patterns, and deployment-ready workflows.

This instructor-led live training (available online or on-site) is designed for intermediate to advanced Python developers who want to adopt professional practices and patterns for production-grade Python systems.

By the end of this training, participants will be able to:

• Apply Python typing, dataclasses, and type-checking to enhance code reliability.
• Use design patterns and architecture principles to structure robust applications.
• Implement concurrency and parallelism correctly using asyncio and multiprocessing.
• Write well-tested code with pytest, property-based testing, and CI pipelines.
• Profile, optimize, and harden Python applications for production.
• Package, distribute, and deploy Python projects using modern tools and containers.

Format of the Course

• Interactive lectures and short demos.
• Hands-on labs and coding exercises each day.
• Capstone mini-project integrating patterns, testing, and deployment.

Course Customization Options

• To request a customized training or focus area (data, web, or infra), please contact us to arrange.

This instructor-led live training in Kuala Lumpur (online or onsite) targets beginner developers and data analysts who intend to learn Python programming from scratch using Google Colab.

Upon completion of this training, participants will be capable of:

• Grasping the fundamental concepts of the Python programming language.
• Writing Python code within the Google Colab environment.
• Employing control structures to direct the flow of Python programs.
• Developing functions to organize and reuse code efficiently.
• Investigating and applying basic Python libraries.

This instructor-led live training, available online or onsite, is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

By the end of this training, participants will be able to:

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

This course is tailored for individuals eager to master the Python programming language. The focus is on Python itself, its core libraries, and the selection of the most effective and practical libraries developed by the Python community. Python powers businesses and is widely utilized by scientists globally, making it one of the most popular programming languages.

The course can be delivered using the latest Python 3.x version, with practical exercises designed to leverage its full capabilities. It can be conducted on any operating system, including all UNIX flavors (such as Linux and Mac OS X) as well as Microsoft Windows.

Practical exercises make up approximately 70% of the course duration, while the remaining 30% consists of demonstrations and presentations. Participants are encouraged to engage in discussions and ask questions throughout the course.

Note: The training can be customized to specific needs upon prior request before the proposed course date.

This instructor-led, live training in Kuala Lumpur (online or on-site) is designed for developers who want to master advanced Python programming techniques. The course covers how to apply this versatile language to solve complex problems in domains such as distributed applications, data analysis and visualization, UI development, and maintenance scripting.

This course caters to individuals keen on mastering the Python programming language. The curriculum places a strong focus on Python itself, its core libraries, and the curation of the most valuable and effective libraries contributed by the Python community. Widely adopted by scientists globally and instrumental in driving business operations, Python stands out as one of the most prevalent programming languages today.

This training programme equips participants with the skills needed for Web Application Development using Python, with a strong emphasis on Data Analytics. By leveraging data visualization techniques, this course provides valuable insights that support strategic decision-making for top management.

This course is designed to equip participants with fundamental practical skills in applying Machine Learning techniques. Utilizing Python and its extensive ecosystem of libraries, alongside numerous real-world examples, the curriculum covers essential Machine Learning components. Learners will gain the ability to make informed data modeling decisions, interpret algorithmic outputs, and validate results effectively.

Our objective is to empower you with the confidence to utilize core Machine Learning tools and to steer clear of common challenges associated with Data Science applications.

This instructor-led, live training in Kuala Lumpur is derived from the widely popular book, "Automate the Boring Stuff with Python" by Al Sweigart. Designed for beginners, the course covers fundamental Python programming concepts through practical exercises and interactive discussions. The primary objective is to equip learners with the ability to write code that significantly boosts office productivity.

Upon completion of this training, participants will gain the ability to program in Python and apply this skill to:

• Automate daily tasks by creating simple Python scripts.
• Develop programs capable of text pattern recognition using "regular expressions".
• Programmatically generate and update Excel spreadsheets.
• Parses PDFs and Word documents.
• Perform web crawling to extract information from online sources.
• Construct programs that automatically send email notifications.
• Utilize Python's debugging tools to rapidly identify and fix bugs.
• Programmatically control the mouse and keyboard to execute clicks and typing tasks.

In this instructor-led, live training in Kuala Lumpur, participants will gain mastery over the most pertinent and cutting-edge machine learning techniques in Python. As they construct a series of demonstration applications handling image, music, text, and financial data, they will apply these skills in practice.

Upon completion of this training, participants will be capable of:

• Implementing machine learning algorithms and techniques to address complex problems.
• Applying deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
• Maximizing the potential of Python algorithms.
• Utilizing libraries and packages such as NumPy and Theano.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This course aims to equip participants with practical proficiency in applying Machine Learning techniques. Leveraging the Python programming language and its extensive array of libraries, alongside numerous hands-on examples, the training covers the essential components of Machine Learning. Attendees will learn how to make informed data modeling decisions, interpret algorithm outputs, and validate results effectively.

Our objective is to empower you with the confidence to utilise fundamental Machine Learning tools and steer clear of common pitfalls associated with Data Science applications.

Python has surged in popularity within the financial sector, becoming the preferred tool for major investment banks and hedge funds. It is extensively utilized to develop a diverse array of financial applications, from core trading systems to sophisticated risk management platforms.

In this instructor-led live training, participants will learn how to leverage Python to create practical solutions for various finance-specific challenges.

Upon completion of this course, participants will be able to:

• Grasp the fundamental concepts of the Python programming language
• Download, install, and configure the most effective development tools for building financial applications in Python
• Select and apply appropriate Python libraries and programming techniques to organize, visualize, and analyze financial data from diverse sources (such as CSV, Excel, databases, and web APIs)
• Develop applications that address issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimize Python applications

Target Audience

• Developers
• Analysts
• Quants

Course Format

• A blend of lectures, discussions, exercises, and intensive hands-on practice

Note

• This training focuses on providing solutions for key challenges faced by finance professionals. However, if you have a specific topic, tool, or technique you wish to include or explore in greater depth, please contact us to arrange for customization.

This five-day programme offers an introductory overview of Data Science and Artificial Intelligence (AI).

The training is conducted through practical examples and exercises utilising Python.

This four-day course provides an introduction to Artificial Intelligence (AI) and its practical applications using the Python programming language. Participants may also opt for an extra day to work on a dedicated AI project upon completing the course content.

Selenium is an open-source framework designed for automating web application testing across various browsers. With Selenium 4, users gain access to enhanced WebDriver APIs, native relative locators, and improved grid support. Python's simplicity and robust integration with testing frameworks like Pytest make it an excellent choice for creating scalable and maintainable test automation suites.

This instructor-led live training, available both online and onsite, targets beginner to intermediate testers and developers who want to leverage Selenium with Python to automate web application testing in real-world scenarios.

Upon completion of this training, participants will be able to:

• Install and configure Selenium with Python in a testing environment.
• Construct robust test automation scripts using Selenium WebDriver and Pytest.
• Utilize the Page Object Model (POM) for creating maintainable test frameworks.
• Execute tests across multiple browsers using Selenium Grid.
• Integrate automated tests with CI/CD pipelines.
• Troubleshoot common issues and apply best practices to ensure automation stability.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For customized training requests, please contact us to make arrangements.

In this instructor-led live training in Kuala Lumpur (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

By the end of this training, participants will be able to:

• Install and configure packages for integrating Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions from Excel.

This instructor-led live training in Kuala Lumpur (online or onsite) is aimed at Matlab users who wish to explore or transition to Python for data analytics and visualization.

By the end of this training, participants will be able to:

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

By the end of this training, participants will be able to:

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

In this instructor-led live training, participants will master advanced Python programming techniques, demonstrating how to leverage this versatile language to address challenges in areas such as distributed applications, data analysis and visualization, UI development, and maintenance scripting.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical drills.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• Should you wish to add, remove, or customize any section or topic within this course, please contact us to make arrangements.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for developers who want to use Python to automate the process of crawling multiple websites to extract data for processing and analysis.

By the end of this training, participants will be able to:

• Install and configure Python along with all necessary packages.
• Retrieve and parse data from various different websites.
• Gain an understanding of how websites operate and how their HTML is structured.
• Build spiders to crawl the web at scale.
• Utilize Selenium to crawl AJAX-driven web pages.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

By the end of this training, participants will be able to:

• Set up the environment to start building big data processing with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance in handling large datasets.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

By the end of this training, participants will be able to:

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

Chatbots are software applications designed to automatically simulate human-like conversations through chat interfaces. These tools assist organizations in enhancing operational efficiency by offering quicker and more convenient options for user engagement.

This instructor-led live training will guide participants on how to construct chatbots using Python.

Upon completion of this course, participants will be capable of:

• Grasping the core principles of chatbot development
• Constructing, testing, deploying, and troubleshooting diverse chatbots with Python

Target Audience

• Developers

Course Format

• A blend of lectures and discussions, complemented by exercises and extensive hands-on practice

Note

• For customized training options for this course, please contact us to make arrangements.

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for intermediate-level developers who want to utilise CUDA to build Python applications that execute in parallel on NVIDIA GPUs.

Upon completion of this training, participants will be able to:

• Accelerate Python applications running on NVIDIA GPUs by using the Numba compiler.
• Create, compile, and launch custom CUDA kernels.
• Manage GPU memory effectively.
• Transform a CPU-based application into one that is accelerated by the GPU.

Course Overview

This practical training is tailored for professionals with a data engineering background who aim to develop hands-on expertise in artificial intelligence, Python, and large language models. Emphasizing real-world application, the curriculum covers model utilization, prompt engineering, and the development of AI-driven solutions. Participants will engage in a series of progressive exercises, advancing from foundational concepts to the construction of deployable AI workflows.

Training Format

• In-person classroom instruction

• Instructor-led sessions featuring guided practice

• Interactive discussions complemented by real-world case studies

• Daily practical exercises

Course Objectives

• Grasp core AI and machine learning concepts pertinent to contemporary applications

• Enhance Python proficiency for AI development and data workflows

• Comprehend the mechanics of large language models and learn to utilize them effectively

• Design and refine prompts to ensure reliable outputs

• Construct end-to-end AI solutions leveraging APIs and frameworks

• Seamlessly integrate AI capabilities into data engineering pipelines

This instructor-led, live training in Kuala Lumpur (online or on-site) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly.

By the end of this training, participants will be able to:

• Set up the necessary development environment to develop APIs with Python and FastAPI.
• Create APIs quicker and easier using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This instructor-led live training in Kuala Lumpur (online or on-site) is designed for data scientists who wish to utilise TensorFlow to analyse potential fraud data.

By the conclusion of this training, participants will be able to:

• Create a fraud detection model using Python and TensorFlow.
• Build linear regressions and linear regression models to predict fraud.
• Develop an end-to-end AI application for analysing fraud data.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for network engineers who wish to maintain, manage, and design computer networks using Python.

By the end of this training, participants will be able to:

• Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
• Master multi-threading and multiprocessing in network automation.
• Use GNS3 and Python for network programming.

In this instructor-led, live training in Malaysia, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.

By the end of this training, participants will be able to:

• Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting.
• Select and organize source content, plan sentences, and prepare a system for automatic generation of original content.
• Understand the NLG pipeline and apply the right techniques at each stage.
• Understand the architecture of a Natural Language Generation (NLG) system.
• Implement the most suitable algorithms and models for analysis and ordering.
• Pull data from publicly available data sources as well as curated databases to use as material for generated text.
• Replace manual and laborious writing processes with computer-generated, automated content creation.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at penetration testers who wish to penetrate test networks in Kali Linux using Python.

By the end of this training, participants will be able to:

• Create Python programs to seek network vulnerabilities.
• Explore and use Kali web shells and shellcode in exploits.
• Apply various Kali tools for penetration testing.
• Exploit systems with Python.

This live, instructor-led training session (available online or at your premises) is designed for developers who want to use Python as their server-side language to build web applications. We will explore various techniques and frameworks to help you choose the best solution for specific problems.

Upon completing this training, participants will be able to:

• Install and configure Python packages and frameworks.
• Set up an optimal development environment to streamline the coding process.
• Write code that enables common functionalities expected by end-users, such as forms, database queries, and calculations.
• Select from popular frameworks like Django and Flask to automate repetitive tasks and shorten development time.

Python is a high-level programming language renowned for its clear syntax and code readability.

In this instructor-led live training, participants will learn how to leverage Python for quantitative finance.

By the end of this training, participants will be able to:

• Grasp the fundamentals of Python programming.
• Utilize Python for financial applications, including implementing mathematical techniques, stochastic models, and statistical methods.
• Develop financial algorithms using performance-oriented Python.

Audience

• Developers
• Quantitative analysts

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice.

Computer Vision is a discipline focused on automatically extracting, analyzing, and interpreting valuable information from digital media. Python, a high-level programming language renowned for its clear syntax and readability, serves as an ideal tool for this purpose.

During this instructor-led live training, participants will gain a foundational understanding of Computer Vision while building a series of simple applications using Python.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of Computer Vision
• Utilize Python to execute Computer Vision tasks
• Develop their own systems for face, object, and motion detection

Audience

• Python programmers who wish to explore Computer Vision

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This course introduces students to the Python language, employing a security-first pedagogical approach. Upon completion, students will be able to write complex Python programs spanning a wide variety of subject matter domains while applying industry-standard secure coding principles. Topics covered include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions—all examined through the lenses of vulnerability mitigation and secure architecture. The course is supported by extensive hands-on labs, secure solutions, and code examples.

After completing the course, students will be able to demonstrate knowledge and understanding of Python Security Principles, environment-scoped security policies (skope-rules), dependency isolation, automated SAST/DAST integration, and DevSecOps-aligned secure development workflows.

This practical course is tailored for Unix and shell users aiming to boost their automation capabilities through Python. Although shell scripting is effective for straightforward tasks, Python offers far greater flexibility, readability, and scalability for complex automation, system administration, and DevOps workflows.

This instructor-led live training, available either online or onsite, is designed for developers and data scientists who want to leverage spaCy to process massive volumes of text, uncover patterns, and derive actionable insights.

Upon completing this training, participants will be capable of:

• Installing and configuring spaCy.
• Grasping spaCy’s approach to Natural Language Processing (NLP).
• Extracting patterns and deriving business insights from large-scale data sources.
• Integrating the spaCy library into existing web and legacy applications.
• Deploying spaCy in live production environments to predict human behaviour.
• Utilising spaCy to pre-process text for Deep Learning applications.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please get in touch with us to make arrangements.
• For more information on spaCy, please visit: https://spacy.io/

Tableau is a powerful business intelligence and data visualization tool. Python, a widely adopted programming language, offers extensive support for numerous statistical and machine learning techniques. By leveraging Tableau's robust data visualization capabilities alongside Python's machine learning functionalities, developers can swiftly create sophisticated data analytics applications tailored to various business needs.

In this instructor-led live training, participants will learn how to effectively integrate Tableau and Python to perform advanced analytics. The integration between Tableau and Python will be facilitated through the TabPy API.

Upon completion of this training, participants will be able to:

• Integrate Tableau and Python using the TabPy API
• Analyze complex business scenarios using the combined power of Tableau and Python with minimal Python code

Audience

• Developers
• Data scientists

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Within the realm of Python Machine Learning, the Text Summarization capability allows for the automatic generation of concise summaries from input text. This functionality can be accessed via the command line or integrated as a Python API/library. One particularly compelling use case is the rapid development of executive summaries, which is invaluable for organizations requiring the efficient review of extensive textual data before finalizing reports and presentations.

In this instructor-led live training, participants will learn how to leverage Python to build a simple application that automatically generates text summaries.

Upon completion of this training, participants will be able to:

• Utilize command-line tools for text summarization.
• Design and implement Text Summarization code using Python libraries.
• Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, and readless 1.0.17.

Audience

• Developers
• Data Scientists

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

By the end of this training, participants will be able to:

• Set up the necessary environment to start developing Pandas workflows at scale with Modin.
• Understand the features, architecture, and advantages of Modin.
• Know the differences between Modin, Dask, and Ray.
• Perform Pandas operations faster with Modin.
• Implement the entire Pandas API and functions.