ScopeAT

The need for upskilling will only increase as the pace of workplace change accelerates. To upskill effectively, studies show learners who participate in hands-on activities both score higher on immediate post-tests and retain more information over time compared with those who received only lecture-based instruction.

LinkedIn Learning now has more than 350 project-based courses for people in any profession who want to sharpen their skills, from AI to advanced Excel to data engineering. Our library also has thousands more courses with project files for more hands-on practice. In addition to detailed background information on high-level concepts, these courses offer real-world, hands-on learning in the form of a relevant project completed throughout the course.

By training your employees on new technologies and skills, you’ll keep your company competitive and help your employees grow. As an added bonus, the following 15 project-based courses are unlocked and free to access through April 15, 2025:

For finance pros

Excel for Finance: Building a Three-Statement Operating Model

Using Microsoft Excel, you’ll build a three-statement operating model incorporating your company’s income statement, balance sheet, and cash flow statement to provide an integrated and complete view of your organization’s financial health.

Advanced Python in Excel for Finance: A Hands-On Approach

Within the familiar environment of Excel, you will teach Python to perform sophisticated financial analysis, automate repetitive tasks, and create dynamic financial models. In the final project, learners will analyze the risk of high-potential stocks and provide investment recommendations based on their financial analysis using Python in Excel.

SQL for Finance: Income Statement Project

In this hands-on course, learn how to extract, manipulate, and transform data using SQL by building basic financial statements like balance sheets and income statements.

For AI engineers

AI Projects with Python, TensorFlow, and NLTK

Use PyTorch, NLTK, and TensorFlow to build a personalized model and recommendation system.

Hands-On AI: Building LLM-Powered Apps

Designed for beginners, this course covers the essentials of large language models, retrieval-augmented generation, and prompt engineering, and then it asks learners to apply the skills to build a “chat with a PDF” application.

Hands-On Generative AI: Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain

Write code using LangChain, ChatGPT, and GPT-4 to build solutions with your company’s data.

For machine learning engineers

Hands-On AI: Build a Generative Language Model from Scratch

From a text completion model to a social media content filter to a lyrics generator, the projects in this course teach you how to build your own generative AI model.

Recommendation Systems: A Practical Introduction

Unlock the power of AI to understand what people want by learning about the concepts and techniques behind recommendation systems and then building your own.

Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

Get up to speed with the latest AI-powered tools and techniques with a series of hands-on labs that leverage retrieval augmented generation for large language models.

For data engineers

End-to-End Data Engineering Project

Using open tools from the modern data stack, you’ll build a robust data pipeline for a fictional e-commerce company following best practices in data modeling, testing, documentation and version control, and analytics-ready formatting.

Guided Lab: Real-World Data Engineering Project with Azure Fabric

Work through a real-world data engineering use case, from determining the high-level solution to implementing it using Azure Fabric.

Build a No-Code ETL Pipeline with Google BigQuery

Gain practical skills in ETL processes, data visualization, and working with cloud-based tools in this course, which includes a project that begins with data ingestion, moves to writing SQL to process, and ends with a live dashboard.

For architects

Creating Construction Documents with Revit

Build a two-story model residence with its own documentation set, sections, details, schedules, and views. Learn each stage of a typical construction project: setup, schematic design, design development, construction documents, construction administration, and more.

Revit for Systems Design and Smart Buildings

Design and document smart building technology systems using Revit. You’ll set up your Revit template, establish color standards, set up your icons and legends, prepare your architectural model, and set up your views.

BIM Manager: Building Envelope Design in Revit

Build a comprehensive exterior envelope system using Revit, incorporating exterior wall and roofing systems, custom materials, and geo-referenced models, ensuring a mindful approach from conceptual design to construction documents.

Uncategorised