From Data Engineering to AI Agents Workshop 2026 with Certificate

Organizer: Dlytica Academy, Powered By- DataNature by Dlytica.

About the Workshop

• Workshop Title: From Data Engineering to AI Agents Workshop 2026
• Date: Friday, October 30, 2026
• Time: 7:00 PM onwards (Nepal Time)
• Eastern Time: 9:15 AM onwards (EDT)
• Mode: Live Online
• Platform: Microsoft Teams
• Registration Fee: Free
• Certificate: Workshop completion certificate for eligible participants
• Registration: Online

Are you interested in Data Engineering, Artificial Intelligence (AI), Generative AI, or AI Agents?

Join the free live online workshop, “From Data Engineering to AI Agents,” organized by Dlytica Academy and powered by DataNature, a sovereign data and AI platform by Dlytica.

Scheduled for October 30, 2026, this online workshop will explore how modern data engineering, lakehouse architecture, data governance, and AI agents work together to support modern data-driven applications.

Participants will have the opportunity to explore important data engineering concepts, learn about AI agent development, watch a live demonstration, and participate in a Q&A session.

About the Workshop on From Data Engineering to AI Agents

The workshop, “From Data Engineering to AI Agents,” aims to introduce participants to the connection between modern data platforms and artificial intelligence.

Data engineering involves collecting, processing, transforming, and managing data so it can be used for analytics and other applications. AI agents build on data and AI capabilities to perform tasks, use tools, and support more complex workflows.

During this workshop, participants will explore how DataNature brings together data engineering and AI technologies, from data ingestion and transformation to retrieval-augmented generation (RAG) and AI agents built using the Model Context Protocol (MCP).

The session will also cover data architecture, governance, security, business intelligence, and practical applications through a live demonstration.

Topics Covered in the Workshop

Participants will explore the following topics:

1. DataNature and Lakehouse Architecture
   Understand the role of modern data platforms and lakehouse architecture in managing data for analytics and AI applications.
2. ELT Pipelines and Data Ingestion
   Learn about extracting, loading, and transforming data, along with the processes used to bring data into modern data platforms.
3. Apache Iceberg and Medallion Architecture
   Explore Apache Iceberg and the medallion architecture approach to organizing and managing data across different processing stages.
4. dbt and Data Transformation
   Discover how dbt supports data transformation workflows and helps organize analytics-ready data.
5. Data Quality and Orchestration
   Understand the importance of data quality checks and orchestration in building reliable data pipelines.
6. Semantic Layer and Business Intelligence
   Learn how semantic layers can help make data more understandable and support consistent business intelligence and reporting.
7. Data Governance and Security
   Explore the importance of managing data access, maintaining data quality, and protecting information in modern data environments.
8. AI in Data Engineering
   Discover how artificial intelligence can be integrated into data engineering workflows and data platform operations.
9. RAG and DocuContext
   Explore retrieval-augmented generation (RAG), an approach that connects AI models with relevant external information, and learn about DocuContext as part of the workshop.
10. Building AI Agents with MCP
    Learn about the concepts behind building AI agents using the Model Context Protocol (MCP), which enables AI applications to interact with compatible tools and data sources.
11. Live Demonstration and Q&A
    The workshop will include a live demo and an interactive question-and-answer session, allowing participants to explore the topics in a practical context.

Who Can Attend This Workshop?

This workshop may be relevant to:

• Students interested in Data Science and Artificial Intelligence.
• Beginners exploring Data Engineering.
• Data analysts and aspiring data engineers.
• IT professionals interested in modern data platforms.
• Developers exploring Generative AI and AI agents.
• Research scholars and technology enthusiasts.
• Professionals interested in data governance, analytics, and AI-powered workflows.

Participants from Nepal, Canada, the United States, and other countries can register online, subject to access to the event platform.

Benefits of Attending

By participating in this workshop, attendees can:

1. Explore the relationship between data engineering and AI agents.
2. Understand key concepts in lakehouse architecture and data transformation.
3. Become familiar with Apache Iceberg, dbt, and data orchestration.
4. Learn about RAG and MCP-based AI agent development.
5. Explore data governance and security concepts.
6. Watch a live demonstration and participate in Q&A.
7. Qualify for a workshop completion certificate by meeting the stated attendance requirement.

Important: The certificate is intended for eligible participants who attend the full workshop session. Review the organizer’s instructions for any additional requirements.

How to Register for the Free Workshop?

Follow these steps to register:

1. Visit the official registration form using the link below.
2. Enter the required information accurately.
3. Submit your registration.
4. Check the event instructions and Microsoft Teams access details provided by the organizer.
5. Attend the complete workshop to meet the stated certificate eligibility requirement.

Apply Link

Registration is advertised as free. Check the registration page for the latest instructions and confirmation of your participation.

Free Online Live Workshop

Ready to explore how Data Engineering connects with AI Agents and modern data platforms?

Module 1 — Foundations

1. Introduction to DataNature

• The data problem & why a platform
• Platform architecture (control plane vs data plane, the tool ecosystem)
• Live demo of the finished copilot (the hook)

2. Workspace & Onboarding

• Getting a workspace, the tenant/isolation concept

3. The Lakehouse & Medallion Architecture

• Iceberg tables & catalogs
• Bronze → Silver → Gold layers

Module 2 — Ingest & Explore

4. Designing ELT Pipelines

• Connecting to sources (databases, files, APIs)
• Extract & Load → landing raw data (bronze)
• Full vs incremental loads

5. Query & Data Exploration

• Ad-hoc SQL on the lakehouse
• The query editor

Module 3 — Transform & Orchestrate

6. Data Modeling with dbt

• Silver → Gold transforms
• Sources, models, materializations

7. Data Quality & Testing

• dbt tests, validation, expectations

8. Job Scheduling & Orchestration

• Chaining ingest → dbt → gold

Module 4 — Serve

9. Concept of the Semantic Layer

• Cubes, dimensions & measures on gold
• Consistent metrics for BI + AI

10. Dashboarding & Visualization

• BI on the semantic layer / gold
• Building charts & dashboards

Module 5 — Govern

11. Data Governance

• RBAC & authentication
• Fine-grained authorization
• Catalog, discovery & lineage

Module 6 — AI & Agents

12. Use of AI in Data Engineering

• Where AI fits across the lifecycle
• DocuContext / RAG (document AI)

13. Agent Creation

• Building an agent (twin) over the semantic layer + documents
• Skills, tools/MCP, guardrails
• Taking action (e.g., email via MCP)

Prerequisites

• Basic SQL
• A little Python

Join DLYTICA Academy for a FREE live online workshop and learn how data engineering, AI, and DataNature come together to build modern, intelligent data solutions.

Meet the Speakers

The workshop will feature the following speakers:

Sudip Shrestha

Designation: Data Engineering Lead, Dlytica AI

Sudip Shrestha will contribute his professional perspective on data engineering and modern data platform technologies.

Subhan Singh Karki

Designation: Senior Data Engineer and Data Engineering Tutor, Dlytica Academy

Subhan Singh Karki will bring his experience in data engineering and technical education to the session.

Frequently Asked Questions (FAQs)

1. Is the From Data Engineering to AI Agents workshop free?
   Yes. The organizer advertises the workshop as a free online event.
2. When will the workshop take place?
   The workshop is scheduled for Friday, October 30, 2026.
3. What time does the workshop start?
   The poster lists 7:00 PM onwards Nepal Time (NPT) and 9:15 AM onwards Eastern Daylight Time (EDT).
4. Where will the workshop be conducted?
   The workshop will be conducted live online through Microsoft Teams.
5. Will participants receive a certificate?
   A workshop completion certificate is offered to eligible participants who attend the full session, according to the organizer’s announcement.
6. Who is organizing the workshop?
   The event is organized by Dlytica Academy and powered by DataNature, a sovereign data and AI platform by Dlytica.
7. How can I register?
   Register through the official Airtable form.