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AI Data Discovery training course

This practical AI Data Discovery training course is designed to equip you with the necessary skills to harness the potential of AI, AGI, and vector databases in data analysis.

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

Public Courses

27/01/25 - 2 days

£2500 +VAT

Enrol

10/03/25 - 2 days

£2500 +VAT

Enrol

21/04/25 - 2 days

£2500 +VAT

Enrol

Customised Courses

* Train a team
* Tailor content
* Flex dates

From £1200 / day

Highlights Details Audience Feedback Prices/Dates Related Courses

Public Courses

Highlights

AI Data Discovery training:

Introduction to AI, AGI, and Vector Databases
Automated Data Cleaning Techniques
Exploring data quality issues and common challenges
Introduction to automated data cleaning approaches
Implementing data cleaning using AI and vector databases
Automated Data Cleaning, Anomaly Detection, and Predictive Analytics
Advanced Techniques, Ethical Considerations, and Result Interpretation

Course Details

Unit 1: Introduction to AI, AGI, and Vector Databases

1.1 Overview of AI, AGI, and their applications in various industries
1.2 Explanation of vector databases and their role in data analysis
1.3 Understanding machine learning, deep learning, and natural language processing
1.4 Exploring the fundamentals of vector databases and their advantages
1.5 Applications of AI, AGI, and Vector Databases in Data Analysis
1.6 Predictive analytics and forecasting
1.7 Recommender systems and personalization
1.8 Natural language processing and sentiment analysis

Unit 2: Automated Data Cleaning, Anomaly Detection, and Predictive Analytics

2.1 Automated Data Cleaning Techniques
2.2 Exploring data quality issues and common challenges
2.3 Introduction to automated data cleaning approaches
2.4 Implementing data cleaning using AI and vector databases
2.5 Anomaly Detection using AI and Vector Databases

More on Automated Data Cleaning, Anomaly Detection, and Predictive Analytics

2.6 Identifying outliers and anomalies in datasets
2.7 Techniques such as clustering, density estimation, and statistical methods
2.8 Applying AI and vector databases for anomaly detection
2.9 Predictive Analytics with AI and Vector Databases
2.10 Understanding predictive modeling and its importance in data analysis
2.11 Introduction to machine learning algorithms for prediction
2.12 Building predictive models using AI and vector databases- 2.1

Unit 3: Advanced Techniques, Ethical Considerations, and Result Interpretation

3.1 Advanced Techniques: Deep Learning and Neural Networks
3.2 Overview of deep learning and neural networks
3.3 Exploring deep learning architectures (e.g., convolutional neural networks, recurrent neural networks)
3.4 Training and fine-tuning deep learning models using vector databases
3.5 Practical Implementation of Advanced Techniques
3.6 How to implement deep learning algorithms with vector databases
3.7 Working with image recognition or text classification tasks
3.8 Ethical Considerations in AI and AGI
3.9 Discussing ethical challenges and biases in AI and AGI
3.10 Understanding the responsibility of data scientists in ethical decision-making
3.11 Promoting fairness and transparency in data analysis using AI and vector databases
3.12 Interpretation and Communication of Results
3.13 Strategies for effectively interpreting and visualizing data analysis results
3.14 Communicating findings to stakeholders with clarity and impact

Who should attend

The content seems to strike a balance between conceptual foundations and practical applications of AI/AGI in data analysis.

As such, it can appeal to a wide range of technical backgrounds looking to expand their knowledge in this space or directly apply it in their analytics roles.

Those interested typically include: data analysts and scientists, business analysts and intelligence analysts, data engineers, machine learning engineers and AI specialists, and statisticians.

Feedback

4.8 out of 5 average

Brian Leek, Data Analyst, May 2022

“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

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More about this course

This practical course is designed to equip you with the necessary skills to harness the potential of AI, AGI, and vector databases in data analysis. Whether you’re a seasoned data analyst or just starting out in the field, this course will take you through the fundamentals of vector databases, automated data cleaning, and anomaly and outlier detection.

We’ll explore predictive analytics, deep learning and neural networks, and how to intrepret and communicate the results of data analysis to best effect.

With a strong emphasis on practical applications, you’ll gain hands-on experience in utilizing these cutting-edge technologies to extract valuable insights from complex datasets. By the end of this course, you’ll have the confidence and expertise to not only navigate the world of data analysis, but also leverage AI and AGI to unlock the true potential of your data. Get ready to revolutionize your data analysis skills and stay ahead in the digital age.

FAQs

AI Data Discovery training FAQs

Who is this course designed for?

This course is designed for individuals seeking to enhance their data analysis skills, whether they are seasoned data analysts or beginners in the field.

What topics are covered in this course?

The course covers fundamental concepts of artificial intelligence (AI), artificial general intelligence (AGI), and vector databases. It explores automated data cleaning, anomaly and outlier detection, predictive analytics, deep learning, neural networks, and result interpretation.

What practical skills will I gain from this course?

Through hands-on experience, you will learn how to effectively utilize AI, AGI, and vector databases to analyze complex datasets. You will develop the ability to extract valuable insights and communicate findings effectively.

How will this course benefit me in today’s data-driven world?

This course will equip you with the necessary skills to navigate the complexities of data analysis and leverage cutting-edge technologies to unlock the true potential of your data. It will help you stay ahead in the digital age and revolutionize your data analysis skills.

Is any prior experience required to enroll in this course?

While prior experience in data analysis is beneficial, it is not required. The course caters to individuals at various skill levels and provides comprehensive instruction from fundamental concepts to practical applications.

What sets this course apart from others?

This course emphasizes practical applications, providing hands-on experience in utilizing AI, AGI, and vector databases for data analysis. It offers a comprehensive understanding of advanced techniques and technologies in the field of data analysis.

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+44 (0)20 8446 7555

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