MASTERING AI FOR SOCIAL MEDIA MANAGEMENT

10^th– 11^th March, 2026                                                                                  20^th-21st May, 2026

25^th-26^th August, 2026                                                                                 8^th-9^th December, 2026

Introduction

AI for social media management automates content creation, scheduling, analytics, and engagement, significantly enhancing efficiency for marketers. Key tools like FeedHive, Predis.ai, and Buffer use AI for recycling content, generating visuals, and scheduling, freeing up human creativity. Adopting these tools enables faster scaling, better audience insights, and improved ROI by automating routine tasks. 

AI for Social Media Management courses provide comprehensive training on using artificial intelligence to automate, optimize, and scale social media strategies. Key areas include AI-driven content generation (text/visuals), audience engagement, performance analytics, and automated scheduling. AI for Social Media Management typically bridge the gap between traditional marketing strategies and modern automation technologies.

Course Contents

Below are the standard course contents organized by core focus areas:

Module One: AI Fundamentals for Marketers

• Introduction to Generative AI: Understanding how LLMs (Large Language Models) function in a business context.
• Prompt Engineering: Mastering the art of writing effective prompts to generate high-quality social copy and visual briefs.
• AI Ethics & Responsibility: Navigating data privacy (GDPR), mitigating algorithmic bias, and ensuring transparency in AI-generated disclosures. 

Module Two: Strategic Planning & Research

• AI-Powered Audience Insights: Using AI tools to build hyper-targeted customer personas and segment audiences based on real-time data.
• Competitor & Trend Analysis: Leveraging AI to spot emerging trends on platforms before they become widespread.
• SMART Goal Setting with AI: Defining measurable outcomes and mapping out data-driven campaign logistics. 

Module Three: Content Creation & Creative Assets

• Text & Copywriting: Drafting engaging captions, viral hooks, and calls-to-action (CTAs) with a consistent brand voice.
• Visual & Video Production:
• Creating branded social graphics using tools like the Canva Magic Studio.
• Generating AI voices/avatars and repurposing long-form content into short-form clips (Reels/TikToks).
• Batching & Scheduling: Establishing workflows to generate content ideas quickly. 

Module Four: Workflow Automation & Operations

• No-Code AI Agents: Building automated systems to manage posting and interactions without coding.
• Conversational AI: Implementing and scaling AI chatbots for customer service and engagement.
• Ad Optimization: Using AI to automate A/B testing for ad headlines and images to maximize ROI. 

Module Five: Analytics & Performance

• Sentiment Analysis: Monitoring brand reputation by analyzing the emotional tone of audience comments and mentions.
• Predictive Analytics: Forecasting future campaign performance and engagement rates based on historical data.
• Cross-Platform Reporting: Integrating data from multiple sources to create unified performance reports.

Duration: Two (2) days                                                                   Fee: N180,000