Microsoft DP-700T00-A: Implement Data Engineering Solutions Using Microsoft Fabric Course in Dubai
50-70-hour Microsoft Fabric Engineering program
Globally recognised DP-700 Data Engineer certification
Automated workflows using Copilot integration
7-modules, expert-Led simulations & mock tests
Flexible learning options with easy instalments
4.85/55072 EnrolledEnrolled Learners
4.85/55072 EnrolledEnrolled Learners
Overview
With us, you will:
- Understand how Microsoft Fabric supports data ingestion, data storage, and workflow orchestration within one platform
- Learn how Lakehouse, Data Warehouse, and Data Factory work together in Microsoft Fabric
- Build practical knowledge of Delta tables, OneLake, notebooks, and pipelines for data engineering tasks
- Acquire knowledge of workspaces, capacities, compute, and permissions in enterprise Fabric environments
- Gain structured exposure to real-time intelligence, streaming design, and workflow monitoring in Microsoft Fabric
- Apply learning through case studies, mock tests, Copilot-supported tasks, and industry simulations
Upcoming sessions
Curriculum
1
Understand Microsoft Fabric architecture
2
Configure workspaces and capacities
3
Manage compute and resources
4
Implement access and permissions
5
Monitor Fabric usage and performance
1
Design and implement data ingestion pipelines
2
Use Data Factory in Fabric
3
Create Dataflows Gen2
4
Transform data using Power Query
5
Schedule and orchestrate data pipelines
1
Create and manage Lakehouse in Fabric
2
Work with Delta tables
3
Organize data in OneLake
4
Use notebooks for data processing
5
Optimize Lakehouse performance
1
Design and implement Fabric Data Warehouse
2
Create tables, views, and schemas
3
Load and transform data
4
Optimize queries and performance
1
Implement real-time data streams
2
Use Eventstreams in Fabric
3
Process streaming data
4
Design real-time analytics solutions
5
Monitor streaming pipelines
1
Orchestrate workflows using pipelines
2
Monitor pipeline execution
3
Implement logging and alerting
4
Troubleshoot data workflows
5
Optimize pipeline performance
1
End-to-end data solution design
2
Requirement analysis (data, latency, performance)
3
Trade-off analysis (cost vs performance vs scalability)
4
Designing integrated data platforms
5
SLA-driven architecture
1
Ingest transactional data from multiple banking systems
2
Implement real-time streaming for fraud detection
3
Build Lakehouse for historical financial data
4
Create dashboards for risk monitoring and reporting
5
Generate fraud detection pipeline logic
6
Suggest real-time architecture for transaction monitoring
7
Analyze financial data patterns and anomalies
8
Draft executive summaries for risk insights
9
Ingest patient data from EHR systems and IoT devices
10
Build a Lakehouse for clinical and operational data
11
Implement real-time alerts for critical patient conditions
12
Ensure data governance and compliance considerations
13
Design healthcare data pipelines
14
Generate real-time alert logic
15
Explain compliance considerations (HIPAA-style scenarios)
16
Summarize patient insights for clinical decision-making
17
Ingest IoT sensor data from machines
18
Implement real-time processing for anomaly detection
19
Build predictive maintenance models using historical data
20
Monitor production efficiency and downtime
21
Generate predictive maintenance workflows
22
Analyze machine data trends and anomalies
23
Suggest optimization strategies for production pipelines
24
Create maintenance reporting summaries
25
Ingest sales, customer, and inventory data
26
Build a unified Lakehouse for customer analytics
27
Implement real-time sales tracking and recommendations
28
Create dashboards for demand forecasting and inventory planning
29
Generate customer segmentation logic
30
Analyze sales trends and demand patterns
31
Suggest real-time recommendation strategies
32
Draft business insights for marketing and operations teams
33
Design a scalable Fabric architecture supporting multiple domains
34
Define data ingestion, storage, and processing strategies
35
Address performance, cost, governance, and scalability trade-offs
36
Present an end-to-end enterprise data strategy
37
Generate architecture blueprints across domains
38
Compare multiple design approaches (cost vs performance)
39
Assist in cross-domain data modeling strategies
40
Prepare executive-level presentations and justifications
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completing this course, professionals will be able to:
1
Learn how to design Microsoft Fabric environments for scalable enterprise data operations
2
Understand how to implement data ingestion and data transformation pipelines across Fabric workloads
3
Build Lakehouse solutions using OneLake, Delta tables, and notebooks in Microsoft Fabric
4
Develop Data Warehouse structures that support analytics and reporting requirements
5
Manage streaming workflows with monitoring, logging, and alerting controls
6
Translate business requirements into scalable Microsoft Fabric solution designs
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
There are no formal prerequisites for this training program. However it is recommended to have:
- A prior knowledge of ETL/data integration basics, orchestration concepts, and at least one of SQL, PySpark, or KQL
Overall ratings by our students
Related courses
Frequently asked questions
The Microsoft Fabric Data Engineer Course in Dubai is relevant for enterprise data work because it covers the core areas of modern data engineering in Microsoft Fabric. These include data ingestion, data transformation, Lakehouse, Data Warehouse, and real-time intelligence.
It also addresses workflow orchestration, monitoring, and solution design within one connected platform. For professionals in Dubai, this makes the course useful for understanding how enterprise teams manage scalable data workflows, platform decisions, and analytics-focused data environments.
The Microsoft Fabric Data Engineer Course in the UAE addresses real-time intelligence through the coverage of real-time data streams, Eventstreams, streaming data processing, and real-time analytics design within Microsoft Fabric.
This course also includes monitoring of streaming workflows and related case-study context. This helps participants understand how live data supports operational analytics. This gives UAE participants clearer insight into streaming decisions, performance visibility, and enterprise response requirements.
This training matters for professionals and teams in the UAE because it addresses the platform areas needed to manage multi-team data environments in Microsoft Fabric. Our course covers workspaces, capacities, compute, and permissions, which are central to shared data operations.
It also includes enterprise-scale monitoring, workflow control, and applied scenario work linked to a multi-team analytics platform. This helps UAE-based participants understand how coordinated data teams manage access, resources, and platform decisions across larger analytics environments.
Our training program combines assessment with applied design tasks, giving participants structured exposure to Microsoft Fabric workflows, scenario-based decision-making, practical troubleshooting, and end-to-end solution planning across enterprise data engineering contexts. This course includes the following practical assessments and applied works:
- Scenario-based mock tests aligned with DP-700 learning areas
- Module case studies linked to core Microsoft Fabric workloads
- Industry simulations across finance, healthcare, manufacturing, and retail
- Capstone design work focused on end-to-end data solution planning
- Requirement and trade-off analysis for architecture decisions
- Applied exercises connecting platform choices with performance and scalability
In this DP-700 training in the UAE, Copilot is used as a practical support layer across Microsoft Fabric tasks, helping participants analyse designs, automate steps, improve logic, and strengthen solution planning effectively. Here is how Copilot is used in this course:
- Explain Microsoft Fabric architecture concepts and workspace configuration strategies
- Generate ETL pipeline designs and suggest transformation logic
- Automate Power Query steps for ingestion and workflow efficiency
- Assist with notebook scripting, Delta table usage, and Lakehouse design improvements
- Optimise SQL queries, schema design, and performance tuning decisions
- Support streaming architecture, troubleshooting, alerting design, and technical documentation
The industry simulation in this course places Microsoft Fabric learning into realistic enterprise settings. This helps participants understand how data engineering decisions change across operations, analytics, monitoring, and reporting requirements. The enterprise senarios are explored in this course are:
- Finance with real-time financial risk and transaction analytics
- Healthcare with patient data integration and real-time monitoring
- Manufacturing with smart factory analytics and predictive maintenance
- Retail with Customer 360 and real-time sales intelligence
- Cross-domain enterprise strategy for unified data platform design across industries
This course at Learners Point is worth considering because the approved structure emphasises practical Microsoft Fabric learning, applied assessment, and an enterprise-focused design context for Dubai professionals. These are the reasons why you should consider Learners Point:
- Structured coverage of core Microsoft Fabric workloads
- Scenario-based mock tests linked to DP-700 learning areas
- Case studies that connect platform topics with applied use
- Copilot-supported tasks across design, scripting, and troubleshooting
- Industry simulations covering multiple enterprise data scenar
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
