Practical Quantum Computing Training Course

This instructor-led, live training in Botswana (online or onsite) is aimed at advanced-level professionals who wish to leverage quantum computing to enhance AI capabilities.

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

• Understand hybrid AI-quantum systems and their potential applications.
• Implement quantum machine learning algorithms.
• Optimize AI models using quantum computing resources.
• Overcome challenges in scaling and integrating quantum AI systems.

This instructor-led, live training in Botswana (online or onsite) is aimed at data scientists who wish to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows in a single platform.

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

• Install and configure Anaconda components and libraries.
• Understand the core concepts, features, and benefits of Anaconda.
• Manage packages, environments, and channels using Anaconda Navigator.
• Use Conda, R, and Python packages for data science and machine learning.
• Get to know some practical use cases and techniques for managing multiple data environments.

Overview

Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.

Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.

With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)

This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.

Course objectives

Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:

• Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
• How Big Data analytic differs from legacy data analytic
• In-house justification of Big Data -Telco perspective
• Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
• How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
• Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
• Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
• Network failure and service failure analytics from Network meta-data and IPDR
• Financial analysis-fraud, wastage and ROI estimation from sales and operational data
• Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
• Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
• Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization

Target Audience

• Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
• Business Analysts in Telco
• CFO office managers/analysts
• Operational managers
• QA managers

In this instructor-led, live training in Botswana, participants will learn the fundamentals of quantum computing as they step through the development of algorithms targeting quantum computers.

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

• Set up the necessary development environment to start creating quantum circuits.
• Control gate behavior using the gate's native counterpart.
• Improve on quibit inaccuracies using Cirq.
• Write and execute a quantum circuit to run against a NISQ based quantum computer simulator.

Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level participants who wish to understand the fundamentals of quantum computing, explore Google Willow’s capabilities, and learn how to get started with quantum programming.

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

• Understand the principles of quantum computing and qubits.
• Explore Google Willow and its advancements in quantum error correction.
• Write and execute basic quantum programs using Qiskit.
• Identify real-world applications of quantum computing.

This instructor-led, live training in Botswana (online or onsite) is aimed at data scientists and developers who wish to learn and build their careers in Data Science using Kaggle.

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

• Learn about data science and machine learning.
• Explore data analytics.
• Learn about Kaggle and how it works.

This instructor-led, live training in Botswana (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.

This instructor-led, live training in Botswana (online or onsite) is aimed at developers who wish to learn about ProjectQ and how to utilize it for implementing quantum programs.

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

• Learn what is ProjectQ and what it is used for.
• Use the ProjectQ framework to perform quantum programming.
• Translate quantum programs to any back-end.

This instructor-led, live training in Botswana (online or onsite) is aimed at computer scientists and engineers who wish to understand the principles behind quantum computing and utilize them in developing algorithms for quantum computer implementations.

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

• Comprehend the fundamentals of quantum computing.
• Understand and apply quantum physics concepts into computational methods.
• Create algorithms for quantum computers.
• Solve computational problems efficiently with quantum computers.
• Integrate quantum behaviors into existing computational models.
• Perceive the potential of quantum computing in the advancement of other technologies.

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level to intermediate-level AI professionals and AI researchers who wish to understand the fundamentals of Quantum AI and its potential applications.

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

• Grasp the basic principles of quantum mechanics as they apply to quantum computing.
• Understand the workings of quantum algorithms and their implementation.
• Recognize the potential of Quantum AI in revolutionizing various industries.
• Develop a foundational quantum machine learning model.
• Evaluate the challenges and ethical considerations of Quantum AI.

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level to intermediate-level business and technology leaders who wish to understand the fundamentals of quantum computing and its potential impact on industries such as cryptography, logistics and financial modeling, and learn how quantum computing could be applied within their sectors.

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

• Understand the fundamental principles of quantum computing, including qubits and quantum entanglement.
• Identify potential applications of quantum computing in cryptography, logistics, and financial modeling.
• Gain insight into the current limitations and future developments of quantum technology.
• Recognize the basics of quantum algorithms and their impact on business challenges.

In this instructor-led, live training in Botswana, participants will learn the fundamentals of quantum computing and Q# as they step through the development of simple quantum programs.

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

• Install and configure Microsoft's Quantum Development Kit.
• Understand the concepts behind quantum computing.
• Build, test, execute, and troubleshoot a quantum program using Q#, Visual Studio and a local quantum computing simulator.

This instructor-led, live training in Botswana (online or onsite) is aimed at computer scientists who wish to create, edit, and invoke a quantum circuit using IBM Quantum Experience.

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

• Set up the necessary development environment to start creating quantum circuits.
• Improve on inaccuracies in quibits using IBM Quantum Experience and its simulations.
• Control gate behavior using the gate's native counterpart.
• Schedule the time of gate events.

This instructor-led, live training in Botswana (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.

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

• Set up the necessary development environment to build data models with NVIDIA RAPIDS.
• Understand the features, components, and advantages of RAPIDS.
• Leverage GPUs to accelerate end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL with cuDF and Apache Arrow.
• Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
• Build data visualizations and execute graph analysis with cuXfilter and cuGraph.