Upskill with Expert-Led, Job-Ready Programs

At Learnbricks Academy, our courses are designed to bridge the gap between theory and real-world tech skills. Each program includes structured modules, hands-on projects, and career-focused outcomes — whether you’re starting out or advancing your role.

Master the skills to become job-ready.

Azure Data Engineering

Master the end-to-end data engineering lifecycle using Microsoft Azure. This course is ideal for aspiring data engineers, analysts, or backend developers looking to transition into cloud-native data roles.

What You’ll Learn:

  • Data Ingestion with Azure Data Factory

  • Data Transformation with Azure Databricks (PySpark)

  • Data Storage in ADLS Gen2 and Azure SQL

  • Building Data Pipelines & ETL Workflows

  • Working with Synapse Analytics

  • Real-world project: Build a cloud-based data pipeline

Who Should Enroll:
Beginners in data, SQL users, developers, IT professionals looking to move to the cloud.

Duration: 8–10 weeks | Mode: Mentor-led 

Data Analytics with Power BI

Develop data storytelling and dashboarding skills with Microsoft Power BI. Perfect for aspiring analysts, business users, or professionals who want to make data-driven decisions.

What You’ll Learn:

  • Connecting & Cleaning Data with Power Query

  • DAX for Calculated Columns & Measures

  • Creating Interactive Dashboards

  • Row-Level Security & Data Modeling

  • Power BI Service & Publishing Reports

  • Real-world project: Business KPI dashboard for a retail dataset

Who Should Enroll:
Business professionals, data analysts, Excel users looking to level up with BI tools.

Duration: 4–6 weeks | Mode: Self-paced with community support

DevOps & Automation

Learn how to implement DevOps principles to build and deploy applications faster. This course focuses on automation, CI/CD pipelines, and containerization using leading tools.

What You’ll Learn:

  • Git, GitHub Actions & Version Control

  • CI/CD Pipelines with Azure DevOps

  • Docker & Kubernetes Fundamentals

  • Infrastructure as Code with Terraform

  • Monitoring & Alerts with Prometheus + Grafana

  • Real-world project: CI/CD for a web app + IaC deployment

Who Should Enroll:
Developers, system admins, QA engineers, or anyone aiming for DevOps roles.

Duration: 6–8 weeks | Mode: Hands-on, Mentor Support

AI & Machine Learning Essentials

This course lays the groundwork for AI and ML, blending theory with hands-on practice in Python. Learn how to build, evaluate, and deploy basic models using real datasets.

What You’ll Learn:

  • Python for Data Science & ML

  • Supervised vs. Unsupervised Learning

  • Building Models with Scikit-Learn

  • Neural Networks with TensorFlow

  • Prompt Engineering with OpenA

Who Should Enroll:
Students, analysts, or developers interested in entering the AI/ML field.

Duration: 6–8 weeks | Mode: Self-paced + Capstone guidance

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