AI for Sales: Prospecting, Outreach and Automation [EN]

What you'll learn

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• Build a seven-block prompt that produces usable output on the first attempt

• Research a prospect from public profiles and write outreach they answer

• Run Boolean and X-ray searches to find people no list will give you

• Set up an AI assistant loaded with your own offer, pricing and objections

• Chain prompts into a workflow, then hand the workflow to an agent

• Automate profile scraping, contact finding and sequence sending

• Use chain-of-thought and tree-of-thoughts for multi-criteria qualification

• Measure the funnel with AI and report on it without building a dashboard

• Learn alongside Mike's 1.6 million students from 185 countries

• Draw on the author's work at Preply, Wargaming, iDeals and Alfa-Bank

Who this course is for:

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• Sales development reps doing cold outreach at volume
• Founders who are still their own first salesperson
• Agency owners and freelancers who prospect for their own clients
• Recruiters, who will find the examples native rather than translated
• Account managers expected to source expansion opportunities themselves
• Sales managers deciding which AI tools their team should actually adopt
• Anyone whose day is research, first messages and follow-up

Description

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This course contains the use of artificial intelligence.

Read this before you buy: every lesson in this course was filmed for recruiters. The screen shows job adverts, CVs and applicant tracking systems, not deals and pipelines.

Why it is here anyway, and why you may still want it

Because the work is the same work. You find people who never asked to hear from you, using public profiles and search strings that no purchased list will give you. You write a first message to somebody with no reason to reply. You run a sequence, you track it in a system, and you measure yourself on the rate at which a contact becomes a conversation. Swap the noun and a recruiter's day is a seller's day: the tools are literally the same browser extensions, the same profile parsers, the same sequence builders. The difference is direction — in hiring one offer meets many candidates, in selling many offers meet one buyer. Everything upstream of that is identical, and that is the part these forty lessons teach.

What this course covers

Forty lessons across six programmes. The frame first: what these models genuinely do in outreach work and where they fail, writing and testing an offer text, generating the creative, automated discovery and list building, personalised sequences, scoring people against criteria, transcribing and analysing a recorded conversation, and inbound campaigns with their measurement. Then the prompting craft on its own: the seven blocks of a working prompt, four frameworks and when each fits, why role and context carry seventy per cent of the quality, few-shot examples, the validation block, chain-of-thought and the accuracy it buys, self-consistency, tree-of-thoughts for multi-criteria decisions, ReAct, context engineering with Projects and RAG, memory across sessions, and the line between a prompt, a workflow and an agent. Then one assistant built end to end: model choice, what you may and may not upload, a separate workspace per opportunity, Boolean search into document analysis, the whole conversation from first message to written offer, connectors and browser automation, and the written instructions that turn a pile of prompts into a system. Then a ten-lesson playbook: defining the target, the offer text, competitor comparison, your own public profile, analysing an incoming document, prospecting techniques, first-touch email, scripts and objections, running your week, preparing and debriefing a call, content and visibility, integrations, and the indicators worth reporting. Then the automation layer: scraping, parsing, contact finding, bookmarklets, choosing the system that holds your pipeline, and automated assessment. Finally agents: components and platforms, agents at first contact with their limits, onboarding a new account, enablement, goal tracking, support, churn prediction, and building your own from scratch.

The honest version of the domain problem

Other courses I have built borrow three blocks from one field and four from another. This one borrows all six from hiring. I am not going to claim the examples transfer — they do not. What transfers is the mechanism: search strings, personalisation at volume, sequence design, funnel measurement, prompt architecture and agent construction do not care whether the person on the other end is being offered a job or a subscription. If you want a course where the screen shows your own industry, this is not it, and you should know that now rather than in lesson three. If you want the mechanism and can translate the noun yourself, this is the most complete treatment of it I have recorded.

Who is teaching this

I am Mike Pritula. I built the people system at Preply as it became a unicorn, and I have worked at Wargaming, iDeals and Alfa-Bank. More than 1.6 million students have enrolled in my courses across 185 countries, and over 150,000 specialists have gone through my programmes. I hold PHRi and SHRM-CP certifications and represent HRCI in more than ten countries.

What is included

• Lifetime access to all 40 lessons

• Active instructor support in the Q&A section

• A Udemy Certificate of Completion

• Working material: the seven-block prompt structure, four prompting frameworks, the tree-of-thoughts decision pattern, a prompt library by funnel stage, the assistant configuration guide, the automation tool map, and the agent architecture

• Six separate programmes on one subject rather than a single overview

Where to start

Take the last cold message you sent that got no reply. Paste it into any AI assistant with the seven-block structure from lesson seven and compare what comes back. Enrol now and start today.