Agentic AI for Market Research

Publishing content consistently, capturing the leads it attracts and following up without dropping anyone is a problem Dr. Alfred Ang has solved in software as well as in practice. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and the CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses. The role covers front end, back end, databases, cloud deployment and native mobile apps, and more than 300 public repositories on GitHub show the output. Several of those projects deal directly with social publishing and lead generation. A full-stack social media publishing platform sends video, photos and text to 22 networks, LinkedIn among them, through a single API call, with scheduling, queues, pipelines and analytics built in. Dr. Ang has written Claude Code skills that draft LinkedIn posts, and built an AI-powered content management system whose weekly auto-blog scheduler and self-improving chatbot keep a steady flow of material for social channels. A digital business-card platform shares contact cards by QR code and WhatsApp, captures leads and manages them through a Kanban sales pipeline. An automated video pipeline researches, scripts, renders and publishes explainer videos on request, and n8n workflows handle auto-reply email and subscriber syncing for the Malaysia and Ghana sites. Dr. Ang has also built a series of lead-magnet websites with chat widgets and enquiry capture, so the full journey from post to conversation to qualified prospect is familiar ground rather than theory.

This course brings that end-to-end view to LinkedIn. The first topic introduces LinkedIn marketing and agentic AI, sets up the AI tools and agents learners will use, and applies them to optimising a profile and personal brand, together with effective prompting for content and outreach. The second topic covers generating post ideas, hooks and articles with AI, planning a content calendar and series, creating visuals and carousels, and, crucially, keeping an authentic voice and a consistent brand so that AI assistance never makes a profile sound generic. Lead generation follows: researching and segmenting prospects with AI, writing personalised connection requests and messages, designing outreach and nurture sequences, and observing social selling etiquette. The final topic builds agentic workflows for content and engagement, automating posting, comments and follow-ups, measuring performance and iterating with AI, and scaling a LinkedIn strategy responsibly. Dr. Ang is direct about the line between helpful automation and spam, and shows where a person should review a message before it goes out, the same human-in-the-loop principle used in the publishing and CRM tools described above. Measurement is treated just as seriously, so that every experiment produces a lesson rather than a guess. Sessions are practical and personal: learners work on their own profiles, posts and prospect lists, so they leave with a content calendar, a set of ready-to-use prompts and an outreach workflow they can switch on straight away. To explore the publishing, CRM and lead-generation projects behind this course, visit Dr. Ang's portfolio at https://github.com/alfredang