Skip to content Skip to footer
-95%

Billy Gene’s AI Crash Course For Marketers

Original price was: $194.00.Current price is: $10.00.

Course Info

  • Published in 2023
  • Download Files Size: 9.56 GB

Delivery: After the payment is completed we send you the Mega link.

You can download it directly or upload it to your Mega account.

The response will take from 10 minutes – 7 Hours. It depends on the time zone difference.

We appreciate your understanding.

Category: Product ID: 21596

Description

 

Billy Gene’s A.I. Crash Course for Marketers is a brief, actionable course that demonstrates how to leverage AI tools to strategically plan, write, and test ad and content campaigns. Designed for working marketers, it includes prompts, workflow setup, and fast ways to draft copy, headlines, hooks and offers with ChatGPT and image generators. To maintain output practical, the course connects prompts to audience research, brand voice, and specific objectives, then demonstrates how to verify output with easy experiments and measures. Case-led lessons and templates designed to reduce build time and increase lead quality. In terms of scope, the course concentrates on paid ads, landing pages, email, and social posts. The following sections provide an overview of the key modules, tools, and sample workflows.

What is Billy Gene’s AI Course?

The 10-day course is tailored for marketers and digital entrepreneurs eager to implement AI marketing strategies in their campaigns. It emphasizes workflows that enhance content, ads, and client work, featuring case studies from real companies. This program illustrates how AI technology can revolutionize marketing by offering tools for rapid adjustment, complemented by a 5-day crash course and a 16-week practice option.

1. Core Philosophy

The course drives complete adoption of AI in everyday marketing work to move faster, reduce expenses, and grow results without increasing headcount. It approaches AI as normal equipment, not a side gig.

Learning-by-doing. Theory is combined with live demos and real-world examples, such as transforming a product brief into ad angles, headlines, and e-mail copy, followed by testing in a small spend. Demonstrates how to create a prospecting database, craft an AI-powered pitch, and execute the ‘Genius Playbook.’

It’s for all levels. Beginners receive easy, guided actions. Pros receive premium prompts, automation blueprints, and audit checklists.

Mindset is central: traditional marketing sits on the chopping block, so adopting AI is not optional. The target being future-proof plans that get better every month.

2. Key Modules

Main use cases include content that sells, search and social ad campaigns, and client acquisition with follow-up systems.

Busy pros get step-by-step automation: map inputs, pick the model, set prompts, validate outputs, and ship. One route constructs a lead list, composes outreach, schedules follow ups, and records responses.

Specialized tracks such as an Agency Accelerator and 16-week AI marketing program, along with a 5-day crash course.

You obtain templates, scripts, and pre-configured workflows for e-commerce, services, and local businesses to hit the ground running.

3. Learning Style

Live sessions and cohorts group sit inside an online platform. Replays are accessible.

Onboarding is incremental with minimal-resistance installation for beginners and power users alike.

Sessions employ comedy, quick cuts and real-world examples to maintain attention.

A support crew and tutoring options assist if you require additional assistance.

4. Practical Tools

Anticipate copy, video, image, data, chat, and automation tool stacks. Create a channel-based list: search ads, social ads, email, short video, and landing pages.

Plug tools into present currents. Map out where AI writes drafts, where humans edit, and where automation posts or reports.

Leverage templates, scripts, and triggers to save time and money.

5. Course Outcomes

Most individuals experience quicker creative turnarounds, more precise targeting, and higher ROI through effective ai marketing strategies. Confidence builds with prompt craft and AI literacy, allowing you to build and execute AI-driven campaigns from start to finish. It’s a hard-hitting shortcut for building an AI-powered agency. Cost is $194 with a 30-day refund policy, and while others see it as an easy entry point, it nonetheless provides actionable wins and a high-level introduction to AI tools and business applications.

The Mind Behind the Method

It expands on the work and proven track record of Billy Gene Shaw, a prominent online marketer and BGIM founder. With over 25 years in technical sales and a solid foundation in old-school selling, influenced by legends such as Tom Hopkins, he blends traditional sales discipline with modern digital marketing strategies. This unique approach provides the context for how he instructs AI to generate actual revenue, not mere buzz. His public profile, including an estimated net worth of $9 million, underscores results at scale, but the emphasis here remains on repeatable methods you can apply in any market.

Shaw’s background has historically focused on premium sales and transparent funnels for traffic, lead capture, and offers. In the AI crash course, he maps those same steps to modern tools: prompt libraries for outreach scripts, AI-led audience research for message-market fit, and quick tests for landing page copy. He demonstrates how to run micro-experiments in hours—not weeks—allowing tiny teams to ship, learn, and iterate quickly. For instance, he’ll transform a single unpolished cold email into three, each tailored to different buyer roles, then configure an easy experiment to collect open and reply rates within two days, showcasing the power of AI automation in streamlining the process.

His lecture style mixes humor with evidence, which keeps deep ideas both digestible and practical. Expect live demos: building an ad hook from a customer review, cleaning a dataset into a segment list, or drafting a 7-step follow-up sequence, all on screen. Interactivity is the crux. He advocates easy tools—no big towers—employing straightforward cues, rudimentary insights, and everyday ads platforms. It’s about quickness and lucidity. Do the fundamentals well, turn your back on fashionable hacks, and drive relentless production. If a free AI tool pens a viable offer outline in 10 minutes, ship it, then get better with real response data, which is crucial for effective digital marketing efforts.

Shaw is frank about the direction AI is pushing marketing toward. He believes AI will disrupt traditional processes, from extended content cycles to sluggish creative experimentation. His answer is a structured path: a 5-day AI crash course for core skills and a 10-day plan to stand up an AI-driven offer with messaging, outreach, and a simple funnel. It has a money-back guarantee, a show of faith, and a push to make a decision. They call him a genius, and the magic is in the method that transforms innovation into efficient sales, illustrating the true potential of AI marketing in the modern business landscape.

Who Should Enroll?

Designed for marketers, agencies, and entrepreneurs, the day ai course caters to anyone new to AI marketing. It works for both beginners and veterans eager for hands-on skills, accelerated production, and quantifiable results in their digital marketing efforts.

For Beginners

  • Start with basics: what AI is, why it matters, where to apply it in ads, content, email, and analytics.

  • Set up core tools: select an AI copy tool, image generator, chat assistant, and tracking stack.

  • Learn prompts: use simple frameworks for ad hooks, offers, and landing page copy.

  • Build your first funnel: lead magnet, email series, and a clear call-to-action.

  • Test fast: run small-budget ads, measure click-through rate, cost-per-lead, and conversions.

  • Improve: iterate headlines, creative, and audience using AI suggestions.

  • Ship: launch weekly campaigns, document wins and misses, and scale what works.

The course delivers in simple language with brief demonstrations and checklists. Low barrier to entry with templates and live examples, so you do not need a tech background. You can enroll as a total newbie and still deliver your first AI-powered campaign.

Perfect fit if you want confidence, a basic stack that works, and the skills to help local shops or online stores without hiring an agency.

For Experts

Advanced tracks include everything from multi-model prompt chains to AI-driven creative testing, dynamic product ads, media buying playbooks, and conversion lift analysis. You’ll discover how to combine AI with human intuition to reduce expenses and increase ROI.

Refine current workflows: automate briefs, script high-volume content sprints, and apply AI for first-pass research, offer ideation, and hyper-specific audience angles.

Agency-centric material covers pricing frameworks, service packaging, proposal scripts and client retention frameworks. You receive premium resources such as prebuilt prompts, audit templates, and team trainings.

Use it to get a leg up with speedier test cycles, leaner ops, and crisper insights. Great for business owners looking to sell more with AI, or solo AI marketers that don’t want to outsource.

For Agencies

Agencies seeking to scale with automation receive modules on pipeline construction, fulfillment systems, and client dashboards. There are systems to coordinate dozens of client accounts, normalize deliverables, and safeguard quality at scale.

You’ll learn best practices for weaving AI into offers: AI-powered ad creative, content engines, lead gen funnels, and reporting. It’s fit if you’re looking to launch or scale an AI ad agency or AI-driven funnels.

Success stories talk about revenue lifts, quicker delivery and improved margins. Others target $302,000/year with 10 clients or brand scaling to 6–8 figures, illustrating trajectories for growth at various stages and ages.

Practical AI Applications

Focus is on where AI drives results now: content, ads, and client outreach across SaaS, e-commerce, services, and local firms. AI accelerates work, maintains tone, and extracts insights from massive data. It aids repetitive tasks to free teams for strategy. Acknowledge trade-offs: fast, scalable outputs, yet some roles change, and AI is not ready to replace many human jobs.

Create and use a simple comparison table to align your plan:

  • Columns: Process, Traditional Approach, AI-Powered Approach, Metrics Impact.

  • Rows: Ideation, Drafting, Design, Targeting, QA, Reporting, Support.

  • Fill with clear examples and numbers you can track.

Content Creation

AI tools draft social posts, blog outlines, landing copy, and short videos, starting with nothing but a brief and style guide. They stabilize voice across platforms, translate into multiple languages and customize by audience segment. It outputs fast, and frequently well enough to ship with minor tweaks, allowing teams to ship on schedule and at volume.

Create more robust campaigns by extracting search trends, social signals, and site logs. Leverage AI to group topics, keyword mapping and identify content gaps. It can test hooks, headlines, and thumbnails and then predict click and dwell time. This makes themes tighter and less guessworky.

Prompts you can adapt:

  • Social caption: “Write 3 captions for , tone: friendly, length: 100–120 chars, CTA: trial, add one metric claim.”

  • Blog outline: “Outline a 1,200-word post on [topic], include H2/H3s, FAQs, and internal link ideas.”

  • Video script: “60-second script for [goal], audience: [segment], include one stat and a soft CTA.”

Templates, brand rules and scheduled runs give you speed and consistency. AI-written copy, videos and more to eliminate handoffs and fill calendars.

Ad Campaigns

AI optimizes targeting, bids, and creative by learning from channel data in near real time. It discovers high-intent clusters, shifts budget by performance, and customizes layouts and copy for each audience. Personalization enhances relevance and reduces cost per outcome.

Steps to set up:

  • Define conversion events and clean UTM rules.

  • Feed first-party data and exclude poor-fit segments.

  • Launch 3–5 creative variants per asset size.

  • Set guardrails: daily budget, frequency caps, brand terms.

  • Review learnings every 24–72 hours; prune losers fast.

Utilize audience, placement and message data views that compare. See lift in click-through, CPA, and ROAS. Keep a test queue: new hooks, formats, and markets. While a few teams fret about disruption, most observe new skills and keener decisions.

Client Acquisition

  • Interval or sequence emails and messages with AI, to time outreach by engagement.

  • Deploy chatbots to address FAQs, pre-qualify leads, and schedule calls.

  • Auto-score leads from behavior, then route to reps.

  • Initiate follow-ups when prospects visit important pages or open presentations.

Some tiny agencies boosted their digital marketing efforts by combining AI lead scoring with highly customized proposals, reducing their response time from hours to minutes. A mid-size B2B firm employed AI assistants for demos and FAQs, which increased meeting bookings, allowing human reps to concentrate on complex transactions. To enhance their online business models, integrate AI into current funnels by keeping CRM as the source of truth, adding a chatbot for support, and plugging scoring into routing. AI provides personalized recommendations and instant responses, but people still manage subtlety and confidence.

Beyond the Hype

Beyond the hype means evaluating AI tools based on actual impact, not headlines. The course pushes marketers to balance features with impact, as AI is nascent, rapid, and frequently overhyped. Consider it assistance for human decision-making, not a replacement for it.

Common mistake

What happens in practice

Business effect

Buying tools without a use case

Unused seats, vague goals

Wasted budget, lost time

Ignoring data quality

Wrong inputs, skewed outputs

Bad targeting, lower ROI

Over-automating content

Generic tone, brand drift

Lower trust, weak engagement

No privacy checks

Unvetted prompts, data leaks

Compliance risk, fines

Skipping tests

Full rollout of weak ideas

High cost, slow fixes

Pursuing shiny objects sucks focus. Measure fit, not hype. Ask: does this tool cut cost, raise quality, or speed up work in a measurable way over 90 days?

Avoiding Pitfalls

  • Integration checklist: define one problem to solve; map your current workflow; list required inputs, outputs and guardrails; verify API/security; and assign owners; set KPIs; rollout plan; train users; record prompts review, weekly.

Privacy should be sacrosanct. Comply with national legislation (e.g. GDPR) and industry regulations. Plus an ethics review for bias, fairness, and disclosure.

Pilot before you scale. A/B tests on small lists, hold-out groups, clear pass/fail metrics. Example: test AI ad copy on 10% spend for 2 weeks; require at least 15% lift in CTR and stable CPA.

Maintaining Originality

AI ought to reflect your brand, not obliterate it. Lock tone rules, prohibited phrases, and story pillars in reusable prompt templates.

Add context in prompts: audience, pain points, offer, region, metric goal. Request 3 variations with distinct angles, then revise. Take style guide and brand memory bank to custom prompt training.

Review on cadence. Human edits capture nuance, assertions and cultural voids. Maintain a post-publish audit for accuracy and tone.

Trade off speed with clear concepts. Automate drafts and variants, but humans stay on hooks, stories and visuals.

Human-AI Synergy

Marry human strategy with AI scale. Humans choose objectives, select frames, craft the narrative. AI drafts alternatives, groups key terms, identifies patterns.

Workflow example: strategist writes brief; AI recommends outlines and headlines; writer chooses, rewrites and inserts proof; AI formats and tags and builds assets; analyst verifies results with control groups.

Hold judgement. Leverage AI to expand options, then use human intuition to select, customize and complete. Keep the long view: build systems, not stunts.

Participant Success Stories

Our results cut across niches, budgets, and skill levels, showcasing the power of AI marketing. Students range from freelancers and mom-and-pop shops to massive teams across various industries like tech, healthcare, retail, education, and nonprofits. I like the 10-day crash course format — it provides a clear start and end, with daily tasks that demonstrate how to utilize and implement AI tools to assist businesses effectively. Most participants claim they achieved their objectives after the session, stating that the instruments, prompts, and checklists rendered the route easy and consistent. The community is vast—175,000+ students from 75 countries—and learner-driven, which helps them see true examples that fit local markets and different ad regulations.

A solo consultant in Sao Paulo signed up to repair a sluggish pitch process. Before taking the day AI course, proposals took 3 days and win rates hovered around 18%. By leveraging AI briefs and a pricing calculator from our trainings, she reduced proposal time to 6 hours and increased her win rate to 31% in just one month. Quarterly revenue jumped 22% as admin hours plummeted in half. She attributes her success to the Monday–Friday support team for quick feedback on her initial three client pitches.

Here’s an e-commerce brand in Berlin with a tiny team that used the day AI business plan challenge to clean up social media and email marketing. Previously, they’d send one generic newsletter a month and post ad hoc. After constructing AI-driven content calendars and subject-line experiments, open rates jumped from 19% to 34%, and click rates doubled to 4%. Email sales increased 28% in just 8 weeks.

The team highlights the incremental audience personas prompts as the important shift in their marketing strategies. A healthcare startup in Nairobi leveraged the course to launch ads with stringent budgets. Their cost per lead fell from 6.50 EUR to 3.10 EUR, and lead volume increased by 90% while spend remained flat. They said the ‘amazing’ part was how the course made QA checks easy with checklists that alerted them to weak headlines and missing CTAs.

Beginners say the AI marketing principles taught in the course are a good way to get started and learn the fundamentals. One student in Mumbai expressed excitement to begin and used the first week to sketch a basic funnel. In just 30 days, they constructed a social and email plan that booked 12 demos, up from 3. Several participants repeat that the course assists in developing specific social media and email marketing plans without deep marketing speak, making it accessible for all.

Overall, the day AI course provides valuable information and resources for individuals looking to enhance their digital marketing efforts. With the integration of AI technology, students can efficiently implement strategies that optimize their online business and improve overall customer experiences.

Conclusion

Explicit actions. Real use.No fluff.Marketers receive time-saving, guesswork-cutting tools. Quick wins for small shops. Bigger teams hook up rapid experiments and track lift. The lessons tie to daily tasks: ad copy, hooks, scripts, edits, and audits.Simple configuration. Low risk.Fast loops to learn and to scale.

To test fit, try one play: draft a 30-second ad with his prompt style. Run 2 cuts. C) track clicks and cost per lead. If digits dance, continue. If not, change the angle and try once more. The course matches that pace.

Ready to test if it pays for your job. Sign up for a live session, download the starter prompts, and conduct your inaugural test this week.