In this workshop-style course, you’ll learn how to use AI tools to analyze social media performance and turn raw metrics into clear optimization actions, with LinkedIn as your primary platform. You’ll start by collecting clean data, including exported LinkedIn Analytics (impressions, likes, comments, shares) and recent comments, then organizing it into a simple spreadsheet workflow so your analysis is consistent and reusable.

Next, you’ll run sentiment analysis on real audience comments to understand how people are reacting to your content. You’ll use the sentiment breakdown (positive, neutral, negative) to adjust tone, messaging, and calls to action, so you can improve trust and engagement without guessing. You’ll then forecast performance for the next 30 days by prompting an LLM to estimate impressions, engagements, and engagement rate, and you’ll test “what-if” scenarios like posting more often or shifting content types. You’ll also explore cross-platform reporting by comparing at least two channels (such as LinkedIn and Instagram) to identify strengths, weaknesses, and where your audience responds best. Finally, you’ll create an optimization plan grounded in your own data, recommendations to improve engagement rate, boost impressions, and increase positive sentiment, while balancing AI suggestions with an authentic brand voice.