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Advanced Data Techniques for Enterprise AI Systems

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David Drummond and Fractal Analytics Academy

David Drummond and Fractal Analytics Academy

Led by renowned data scientist David Drummond, this course blends expert instruction with hands-on practice to help you implement cutting-edge tools like vector databases, metadata tagging, and cross-platform architectures. You’ll also explore governance frameworks and Explainable AI (XAI) to ensure transparency and trust in your AI systems.

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What's inside

Syllabus

Foundation and Strategy with Security

Understand the pillars of modern data strategy—management, frameworks, and governance. Learn how to secure data using encryption, access control, and ISO standards.

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Career center

Learners who complete Advanced Data Techniques for Enterprise AI Systems will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Data Techniques for Enterprise AI Systems.

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Secrets and Lies

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Comprehensive guide to data security, covering topics such as data encryption, access control, and data destruction. It good resource for anyone who wants to learn more about data security best practices.

Secrets and Lies: Digital Security in a Networked...

Secrets and Lies: Digital Security in a Networked...

Secrets and Lies: Digital Security in a Networked...

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Save

This is widely considered the authoritative guide to data management, with data governance at its core. It provides a comprehensive framework, standard definitions, and best practices for various data management functions. It is an essential reference tool for anyone serious about the field and is often used as a foundational text in academic and professional settings.

DAMA-DMBOK: Data Management Body of Knowledge: 2nd...

(Español) DAMA-DMBOK: Guía Del Conocimiento Para La Gestión...

(Español) Versión en español de la Guía DAMA de los...

The DAMA Guide to the Data Management Body of...

The DAMA Guide to the Data Management Body of...

(Türkçe) DAMA-DMBOK Turkish: Veri Yönetimi Bilgi Birikimi...

(Italiano) DAMA-DMBOK, Italian Version: Data Management Body...

The DAMA Guide to the Data Management Body of...

Unknown Binding

DAMA-DMBOK: Data Management Body of Knowledge: 2nd...

(Español) DAMA-DMBOK: Guía Del Conocimiento Para La Gestión...

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Non-Invasive Data Governance

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Offers a practical and accessible approach to data governance by focusing on leveraging existing organizational activities. It emphasizes making progress without striving for immediate perfection, making it valuable for those new to implementing governance programs. It's highly recommended for its plain language and actionable advice.

Non-Invasive Data Governance: The Path of Least...

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Cloud Application Architectures

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Provides a comprehensive guide to cloud architecture patterns, including patterns for designing scalable, resilient, and portable cloud applications. It valuable resource for architects and developers who want to design and build cloud-based systems.

Cloud Application Architectures: Building...

Cloud Application Architectures: Building...

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Mastering Cloud Computing

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Provides a comprehensive overview of cloud computing and big data, covering topics such as cloud computing architectures, big data analytics, and data management. It is an excellent resource for understanding the convergence of cloud computing and big data.

Mastering Cloud Computing: Foundations and...

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Unveiling LangChain and LLM for Python Developers

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LangChain widely used framework for developing applications powered by language models, including RAG systems and AI agents. offers a practical guide to using LangChain and LangGraph, providing hands-on experience with implementing RAG and related concepts.

Unveiling LangChain and LLM for Python Developers:...

Unveiling LangChain and LLM for Python Developers:...

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Designing Data-Intensive Applications

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Explores the fundamental trade-offs and concepts behind designing modern data systems, covering various technologies and distributed systems principles. It is highly relevant for understanding contemporary data management challenges and must-read for engineers and architects.

Designing Data-Intensive Applications: The Big...

Designing Data-Intensive Applications: The Big...

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Data Governance Handbook

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Written by an experienced Chief Data Officer, this handbook provides an exhaustive guide to understanding data governance, its components, and positioning solutions for tangible business outcomes. It covers the entire lifecycle of a data governance program with a focus on practical implementation and value creation.

Data Governance Handbook: A practical approach to...

Data Governance Handbook: A practical approach to...

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Transaction Processing

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Definitive work on the principles and techniques of transaction processing, a core concept in database systems and distributed computing. It is essential for understanding how to build reliable and consistent data systems.

Transaction Processing: Concepts and Techniques...

Transaction Processing: Concepts and Techniques...

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Cloud Computing: A Hands-On Approach

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Provides a hands-on approach to cloud computing, covering topics such as cloud computing architectures, service models, deployment models, and security considerations. It is an excellent resource for readers who want to learn how to build and deploy cloud-based applications.

Cloud Computing Solutions Architect: A Hands-On...

Cloud Computing: A Hands-On Approach

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Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.

Deep Learning: A Practitioner's Approach

(Français) Deep learning en action - Une approche par la...

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Data Governance

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A classic in the field, this book provides a comprehensive overview of the data governance lifecycle. It's an excellent starting point for understanding how to design, deploy, and maintain a successful data governance program within an organization. While published in 2012, its foundational principles remain highly relevant.

Data Governance: How to Design, Deploy, and Sustain...

Data Governance: How to Design, Deploy and Sustain...

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Enterprise Integration Patterns

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Presents a collection of proven patterns for designing and building cloud-native applications. It covers topics such as microservices, containers, and serverless computing. It valuable resource for architects and developers who want to adopt cloud-native practices.

Enterprise Integration Patterns: Designing,...

Enterprise Integration Patterns: Designing,...

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Cloud Computing

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Provides a comprehensive overview of cloud computing concepts, technologies, and architectures. It is an excellent resource for understanding the fundamentals of cloud computing and how to design and build cloud-based applications.

Cloud Computing: Concepts, Technology &...

(中文) Cloud Computing: Concepts. Technology and...

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Engineering Software Products

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Provides a comprehensive overview of cloud computing and software engineering, covering topics such as cloud computing architectures, software development methodologies, and cloud-based software engineering. It is an excellent resource for understanding the relationship between cloud computing and software engineering.

Engineering Software Products: An Introduction to...

(中文) Modern Software Engineering: Facing Software...

(中文) Modern Software Engineering: Facing Software...

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Fundamentals of Data Engineering

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Covers the end-to-end process of designing, building, and managing data pipelines and analytical systems. It is highly relevant for aspiring and practicing data engineers, covering a wide range of contemporary data management tools and techniques.

Fundamentals of Data Engineering: Plan and Build...

Fundamentals of Data Engineering

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Natural Language Processing with Transformers,...

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Transformers are the fundamental architecture behind most modern Large Language Models used in RAG. provides a comprehensive guide to working with transformers using the Hugging Face ecosystem. It offers essential background knowledge for understanding the generative component of RAG systems.

Natural Language Processing with Transformers,...

Natural Language Processing with Transformers,...

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Database Internals

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Provides a detailed look inside the implementation of database systems, covering topics like storage engines, indexing, and concurrency control. It is excellent for deepening understanding of how databases function at a low level and is valuable for database professionals.

Database Internals: A Deep Dive into How...

Database Internals: A Deep Dive into How...

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Data Governance

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Provides a practical guide to establishing and implementing data governance programs. It is crucial for understanding the organizational and process aspects of managing data effectively and valuable resource for data leaders and practitioners.

Data Governance: How to Design, Deploy, and Sustain...

Data Governance: How to Design, Deploy and Sustain...

Data Governance: How to Design, Deploy, and Sustain...

Data Governance: How to Design, Deploy and Sustain...

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Database System Concepts

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A widely-used textbook in database courses, this book offers a thorough introduction to database systems, including relational models, SQL, and transaction management. It's valuable for both broad understanding and deepening knowledge, providing a solid theoretical and practical basis for data management.

Database System Concepts

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Data Stewardship

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Dives into the crucial role of data stewards in a data governance program. It provides actionable guidance on setting up and running a data stewardship effort, including organizing, training, and working with data stewards. The second edition is updated for the Big Data era and international business considerations.

Data Stewardship: An Actionable Guide to Effective...

Data Stewardship: An Actionable Guide to Effective...

Data Stewardship: An Actionable Guide to Effective...

Data Stewardship: An Actionable Guide to Effective...

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Data Protection

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Given the strong regulatory landscape surrounding data, this book provides clear guidance on data protection, privacy, and information law, including GDPR and the Data Protection Act 2018. It's essential for understanding the legal context of data governance and compliance.

Data Protection Law & Practice

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Hands-On Large Language Models

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Large Language Models are a core component of RAG. provides a practical, hands-on guide to understanding and working with LLMs, covering transformers, tokenizers, and semantic search. It offers essential background knowledge for anyone building RAG systems and valuable reference for practitioners.

Hands-On Large Language Models: Language...

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Fundamentals of Database Systems

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Offers a detailed coverage of database fundamentals, including data models, database design, and database technologies. It is well-suited for students and professionals looking to gain a solid understanding of the core concepts in data management and is often used as a primary textbook.

Fundamentals of Database Systems

Fundamentals Of Database System, 7Th Edn

Fundamentals of Database Systems, Global Edition

Fundamentals of Database Systems (6th Edition)

Fundamentals of Database Systems (International...

Fundamentals of Database Systems, 5th Edition

Fundamentals of Database Systems 2nd edition by...

"Fundamentals of Database Systems"

Unknown Binding

Datu-base sistemak. Oinarriak

Fundamentals of Database Systems, with E-book (3rd...

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Delta Lake: The Definitive Guide

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Focuses on practical data engineering using modern technologies like Apache Spark and Delta Lake. It is highly relevant for professionals building data pipelines and managing data in cloud-based data lakes, addressing contemporary challenges in big data.

Delta Lake: The Definitive Guide: Modern Data...

Delta Lake: The Definitive Guide: Modern Data...

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Introduction to Information Retrieval

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Is specifically designed for beginners interested in Retrieval Augmented Generation (RAG). It aims to introduce the core concepts and guide readers in building basic RAG systems. It serves as a good starting point for those with minimal prior knowledge of RAG.

Introduction to Information Retrieval

Introduction to Information Retrieval

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Non-Invasive Data Governance Strikes Again

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A follow-up to the popular 'Non-Invasive Data Governance,' this book offers further experience and perspective on implementing data governance with minimal disruption. It reinforces the practical approach of recognizing and formalizing existing data-related activities. It's valuable for those looking to deepen their understanding of the non-invasive methodology.

Non-Invasive Data Governance Strikes Again: Gaining...

Non-Invasive Data Governance Strikes Again: Gaining...

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Save

This guide provides practical advice and techniques for improving data quality, a fundamental aspect of effective data management. It valuable resource for anyone responsible for ensuring the accuracy and reliability of data.

Data Quality For The Information Age (Artech House...

Data Quality Management and Technology

Data Quality: The Field Guide by Thomas Redman PhD...

Paperback Bunko

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Database Reliability Engineering

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Focuses on the principles and practices for building and operating reliable and resilient database systems. It is highly relevant for professionals in site reliability engineering and database administration, addressing the operational challenges of data management.

Database Reliability Engineering: Designing and...

(中文) Database reliability engineering database system...

Database Reliability Engineering: Designing and...

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Practical Data Privacy

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Offers a practical exploration of approaches to data privacy for technologists. It introduces fundamental concepts and provides examples and code snippets for implementing privacy in practice. It's a valuable resource for understanding how to integrate privacy into data systems, addressing a key contemporary topic in data governance.

Practical Data Privacy

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Large Language Models Projects

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This project-based book helps solidify understanding of Large Language Models and their applications, including the use of Vector Databases and LangChain, which are highly relevant to RAG implementation. It provides practical experience through building various LLM projects.

Large Language Models Projects: Apply and Implement...

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The Wave in the Mind

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Aimed at beginners, this book provides a comprehensive roadmap to understanding Retrieval Augmented Generation (RAG) technology. It covers core principles, architecture, training processes, and real-world applications. This valuable resource for those new to RAG looking to gain foundational knowledge.

The Wave in the Mind: Talks and Essays on the...

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Vector Databases Unleashed

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Explores vector databases and their role in modern data analytics, including applications in AI and generative AI. Understanding vector databases is fundamental to building efficient RAG systems. This book provides a good overview of this essential technology.

Vector Databases Unleashed: Navigating the Future...

Vector Databases Unleashed: Navigating the Future...

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Designing Data-Intensive Applications

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Focuses on the architectural challenges of building data-intensive applications, such as choosing the right data storage and processing technologies and designing scalable and fault-tolerant systems. It valuable resource for architects and developers who want to build robust and efficient cloud-based applications.

Designing Data-Intensive Applications: The Big...

Designing Data-Intensive Applications: The Big...

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Cloud Security and Privacy

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Provides a comprehensive overview of cloud security, covering topics such as cloud security risks, compliance, and best practices. It valuable resource for security professionals who want to protect cloud-based systems.

Cloud Security and Privacy: An Enterprise...

Cloud Security and Privacy: An Enterprise...

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Ethics of Data and Analytics

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Examines the ethical considerations surrounding data and analytics, including privacy, bias, and accountability. It crucial read for anyone working with data to understand the societal impact and ethical responsibilities in data management.

Ethics of Data and Analytics: Concepts and Cases

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Cloud Computing: A Practical Approach

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Provides a practical guide to cloud computing, covering topics such as cloud computing models, deployment strategies, and best practices. It valuable resource for architects and developers who want to design and build cloud-based applications.

Cloud Computing, A Practical Approach

Cloud Computing: A Practical Approach

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Build a Large Language Model (From Scratch)

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For those wanting a deep understanding of the generation component in RAG, this book guides you through building an LLM from scratch. It covers the internal workings, limitations, and customization methods. While challenging, it provides a solid foundation in LLM architecture and training.

Build a Large Language Model (From Scratch)

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A Practitioner's Guide to Data Governance

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Demystifies data governance through pragmatic advice based on real-world experience and research. It offers a case-based approach to understanding and implementing data governance frameworks, making it a practical guide for practitioners facing the complexities of the field.

A Practitioner's Guide to Data Governance: A Case...

A Practitioner's Guide to Data Governance: A Case...

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Save

Given the strong link between data governance and data privacy, this book is highly relevant. It provides practical guidance for engineers on designing and implementing scalable privacy programs, navigating the trade-offs between security and business needs. It covers classifying data, building tools for data discovery, and implementing technical privacy controls.

Data Privacy: A runbook for engineers

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Data Quality Fundamentals

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Addressing the crucial aspect of data quality within data governance, this book provides techniques to define and assess data quality and ensure effective data collection practices. It's valuable for data professionals dealing with the 'good pipelines, bad data' problem and seeking to build data trust at scale.

Data Quality Fundamentals: A Practitioner's Guide...

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Generative Deep Learning

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Focuses on generative models, which are key to the generation aspect of RAG. It covers various generative techniques and their applications, providing valuable background for understanding how LLMs produce output. The second edition includes recent advancements in the field.

Generative Deep Learning: Teaching Machines To...

Generative Deep Learning: Teaching Machines to...

(Deutsch) Generatives Deep Learning: Maschinen das Malen,...

(Français) Deep learning génératif

Generative Deep Learning: Teaching Machines To...

(中文) Generative deep learning(Chinese Edition)

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Data Governance

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Offers a practical, step-by-step approach to data governance applicable across industries. It provides perspectives and practices for effectively managing an organization's data. It's a solid resource for gaining a broad understanding and practical insights.

Data Governance: Perspectives and Practices

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Deep Learning with Python, Second Edition

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Authored by the creator of Keras, this book provides an accessible introduction to deep learning with Python. The third edition includes updated content on generative AI and large language models, making it highly relevant for understanding the generation aspect of RAG. It helps solidify understanding through practical examples.

Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition

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Data Pipelines with Apache Airflow

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Provides a practical guide to building and managing data pipelines using Apache Airflow, a popular workflow orchestration tool. It is relevant for data engineers and anyone involved in building automated data processing workflows.

Data Pipelines with Apache Airflow

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SQL Antipatterns

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Highlights common mistakes and poor practices in SQL programming and database design. It is highly practical for anyone writing SQL queries or designing databases, helping to improve efficiency and avoid common issues.

SQL Antipatterns: Avoiding the Pitfalls of Database...

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Designing Data Governance from the Ground Up

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Offers a step-by-step guide to building a data governance strategy from scratch. It focuses on creating a cross-functional strategy, building a data governance team, and embedding governance into development processes. It's a practical resource for establishing a data-driven culture.

Designing Data Governance from the Ground Up: Six...

Designing Data Governance from the Ground Up: Six...

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Disrupting Data Governance

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Challenges traditional approaches to data governance and offers a fresh perspective for the modern era. It aims to redefine governance to support data usage rather than restrict it. It's particularly useful for business leaders and team leaders seeking to improve their understanding of contemporary data governance expectations.

Disrupting Data Governance: A Call to Action

Disrupting Data Governance: A Call to Action

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Deep Learning for Natural Language Processing

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Focuses specifically on applying deep learning techniques to natural language processing problems. It delves into advanced concepts and models relevant to the generative component of RAG systems. It is suitable for those looking to deepen their understanding of the neural network architectures used in NLP.

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

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Effort

3 weeks of study

Level

Intermediate

Via

Coursera

Institution

Fractal Analytics

Instructors

David Drummond

Fractal Analytics Academy

Language

English

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