Big Data and AI

Course Dates :

25/08/25

29/08/25

Course ID:

250825001001021ESH

Course Duration :

5 Studying Day/s

Course Location:

London

UK

Course Fees GBP:

£5,151.66

  • Vat Not Included in the price. * VAT may vary depending on the country where the course or workshop is held.

Course Category:

Professional and CPD Training Programs

Artificial intelligence

Course Certified By:

* ESHub CPD

* Professional Training and CPD Programs

Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued From :


United Kingdom

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Information

Introduction

In the era of digital transformation, Big Data and Artificial Intelligence (AI) are increasingly becoming central to business success. The ability to analyze vast amounts of data and apply AI models to interpret this data offers businesses a significant advantage in decision-making, efficiency, and innovation. This course explores the intersection of Big Data and AI, providing participants with a comprehensive understanding of how these technologies can be harnessed to solve complex business challenges.

Big Data refers to datasets that are too large or complex for traditional data-processing software to handle. It includes a variety of structured and unstructured data, collected from a multitude of sources such as social media, sensors, financial transactions, and much more. With the rise of the Internet of Things (IoT) and the growing reliance on digital platforms, businesses are confronted with data that is increasing exponentially in volume, velocity, and variety. Understanding how to manage, analyze, and derive value from this data is essential for organizations to remain competitive.

Artificial Intelligence, on the other hand, involves the development of algorithms and models that can mimic human cognitive functions, such as learning, reasoning, problem-solving, and decision-making. AI can be applied in numerous fields, from automating routine tasks to driving innovation in product development. By integrating AI with Big Data, organizations can achieve new levels of efficiency and insight, helping them to predict trends, optimize operations, and create personalized customer experiences.

Throughout this course, participants will explore the essential concepts of Big Data and AI, including data collection, storage, analysis, and application. They will also gain a deep understanding of AI technologies such as machine learning, deep learning, and neural networks, and how these can be leveraged to gain actionable insights from Big Data. Real-world examples and case studies will be used to illustrate how businesses in various sectors are using these technologies to drive growth and innovation.

One of the key aspects of this course is its emphasis on practical applications. Participants will not only learn the theoretical foundations of Big Data and AI, but also gain hands-on experience with the tools and techniques used in the field. This includes working with data analytics platforms, machine learning algorithms, and AI frameworks to build predictive models and solve real business problems.

Finally, the course will also explore the ethical and privacy considerations surrounding Big Data and AI. As organizations become more reliant on these technologies, understanding the implications of data collection, storage, and usage is critical. Participants will learn about best practices for ensuring compliance with data protection regulations and safeguarding user privacy in an increasingly data-driven world.

Objectives

By attending this course, participants will be able to:

Understand the fundamentals of Big Data, including its key characteristics and types.
Learn how to manage and process large datasets using modern data storage and computing solutions.
Explore various AI techniques, including machine learning, deep learning, and natural language processing.
Apply Big Data analytics to extract valuable insights for informed decision-making.
Build predictive models using AI and machine learning algorithms.
Gain knowledge of the ethical and privacy concerns associated with Big Data and AI.
Understand the integration of AI technologies with Big Data to drive business innovation.
Work with real-world datasets and tools used in the analysis of Big Data and implementation of AI.

Who Should Attend?

This course is ideal for:

Data scientists and analysts looking to enhance their understanding of Big Data and AI applications.
IT professionals who want to expand their knowledge of Big Data technologies and AI methodologies.
Business leaders and decision-makers interested in leveraging Big Data and AI to improve organizational performance.
Engineers and developers seeking practical skills in building AI models and processing large datasets.
Professionals in industries such as finance, healthcare, retail, and logistics who are interested in implementing Big Data and AI solutions.
Anyone aiming to transition into the field of data science and AI with a focus on practical, real-world applications.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

Course Outlines

Week 1
Day 1:
Introduction to Big Data and AI

Overview of Big Data: Characteristics, Types, and Sources
The Importance of Big Data in the Modern Business Landscape
Introduction to Artificial Intelligence: Key Concepts and Technologies
Relationship Between Big Data and AI: How They Work Together

Day 2:
Big Data Technologies and Tools

Data Collection and Storage Techniques for Big Data
Data Processing Frameworks: Hadoop, Spark, and Other Big Data Tools
Data Quality and Cleansing: Ensuring Accurate Insights
Introduction to Data Warehousing and Cloud-Based Solutions

Day 3:
Machine Learning and Deep Learning

Overview of Machine Learning: Types and Algorithms
Supervised vs. Unsupervised Learning: Key Differences and Applications
Introduction to Deep Learning and Neural Networks
Hands-On: Building a Simple Machine Learning Model

Day 4:
Advanced AI Techniques and Applications

Natural Language Processing (NLP) and Computer Vision
Reinforcement Learning and Its Applications
Case Studies: Successful AI Implementations in Various Industries
Hands-On: Training a Deep Learning Model for Image Recognition

Day 5:
Ethical Considerations and Practical Applications

Ethical Issues in Big Data and AI: Privacy, Bias, and Accountability
Best Practices for Data Security and Compliance with Regulations
Implementing AI Solutions in Business: Challenges and Strategies
Final Project: Solving a Real-World Problem Using Big Data and AI

Secure Your Place

Please Note : Your £250.00 Deposit will be deducted from the total invoice Amount.
To commence the registration process for your training course, please follow the link provided and proceed with; Upon successful payment, we will promptly contact you to finalize your enrollment and issue a confirmation of your guaranteed placement.

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