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AI applications in marketing, advertising, and customer engagement
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From Zero Sales to $2,100 in One Week: The AI Framework That Finally Worked
$29.99
From Zero Sales to $2,100 in One Week: The AI Framework That Finally Worked
$29.99
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Popular Instructors
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Isabella Maldonado
Isabella is an ecommerce founder and leading voice in marketing and AI innovation, shaping how global brands harness technology to influence culture. She has collaborated with Ferragamo , Dior and UN / UNESCO , advising both heritage houses and high-growth startups on AI strategy, branding, and PR. Her work consistently delivers measurable impact, from viral posts reaching 400K+ impressions overnight and 7K+ clients acquired in under three months , to email campaigns achieving rare 65%+ open rates . Through her influential blog and community on TikTok and LinkedIn, Isabella decodes the intersection of marketing, technology, and creativity, future-proofing brands and building a world where human creativity is amplified by AI.

Lambros Lazopoulos
Lambros Lazopoulos is a course creation consultant, educator, and entrepreneur who has taught more than 80,000 students worldwide through over 40 online courses . With a background in medicine and a passion for business, Lambros helps individuals and companies transform their knowledge into profitable online programs. He has worked with authors, coaches, and SaaS companies to design, launch, and scale courses that not only educate but also drive growth and community engagement. Through his own brands and platforms, Lambros has mastered the full process from course design and filming to marketing funnels and student acquisition. His mission is to empower creators to turn their passions into sustainable income and to help businesses use education as a powerful growth tool.

Kirsch Mackey
Kirsch Mackey is an AI and Engineering Systems Architect who helps engineers and tech companies turn their ideas into clear, scalable products and training. He works across AI engineering, hardware, firmware, and technical education, giving him a rare ability to bridge complex engineering with practical, real-world application. At StarLoom Labs https://www.linkedin.com/company/starloom-labs, he contributes AI engineering and systems design. He also runs HaSofu, where for more than four years he has built hardware, firmware, and software solutions while creating training content for professionals in engineering and technology. His freelance work includes marketing copy for SaaS and AI tools, translating technical products into language that resonates with customers. Kirsch previously taught electronics at the University of Arkansas, bringing industry experience into courses on circuits, semiconductors, and electromagnetic fundamentals. Before that, he worked as a Senior Electrical Engineer at Intel, and as Senior Field Application Engineer at JITX (SaaS startup), supporting advanced electrical hardware design tools and collaborating directly with engineers in the EDA space. His work combines engineering depth with clear communication, helping teams build better technology and explain it just as well.

Arbaz Khan
Hello, I am Arbaz Khan , a Computer Science Engineer. I have experience in IoT, Python, Data Science , and learning New Technologies. Also, I am good at C, C++, JAVA. I love to Automate things like Home Automation and other tasks using Python Programming Language. I'm also running my own startup named GetSetCode were We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.

Dr Kolawole Akinbaleye
Dr. Kolawole Akinbaleye is an Adjunct Professor and seasoned Program Manager with over 15 years of experience leading global initiatives in program management, AI adoption, SAP implementation, and large-scale technology transformation. He has worked with Fortune 500 companies such as Deloitte, Chevron, Apple, and National Grid, driving enterprise change and digital innovation. With a PhD in Management Information Systems and multiple professional certifications, Dr. Akinbaleye bridges academic excellence with real-world practice. His expertise spans program governance, cloud solutions, AI strategy, and compliance delivery, making him well-positioned to equip learners with future-ready skills.

Jesse Hart
Bridging Traditional Compliance Excellence with AI Governance Innovation For 26+ years, I've been at the forefront of IT compliance in regulated industries—from navigating FDA consent decrees to leading $1B+ digital transformations. Today, I'm pioneering the next frontier: AI governance and compliance. My journey began in traditional IT compliance, working with pharmaceutical giants like Pfizer, Eli Lilly, Genzyme, and Gilead Sciences. I've led teams through FDA regulatory actions, managed 200+ global application transitions during the Novartis-Alcon separation, and delivered zero-paper manufacturing initiatives while maintaining full GxP validation. The AI Governance Pivot In March 2025, I made a strategic transition into AI governance consulting, recognizing that the regulatory landscape was shifting dramatically. Since then, I've developed 100+ comprehensive, scalable AI governance templates (70+ AI-specific), including framework-specific solutions for: What Makes Me Different I bring a rare combination: deep regulatory expertise from 26+ years in FDA-regulated environments, combined with cutting-edge AI governance knowledge. I understand both worlds—traditional compliance officers speak my language, and I can translate emerging AI risks into actionable compliance frameworks. Current Focus As an AI Governance Consultant at Tech Jack Solutions and Director of Quality Assurance & Regulatory Affairs at ClinCapture, I am able to help organizations implement high-risk AI systems while maintaining regulatory compliance. I actively contribute thought leadership through LinkedIn articles and monthly contributions to The FDA Group newsletter, reaching 10,000+ industry executives.

Alexandra Morales
I specialize in making complex concepts, like Artificial Intelligence, accessible and equitable for everyone. My background in STEM education is dedicated to a single goal: demystifying the future. Let's build a smarter world together. Don't just watch AI, understand it!

Minerva Singh
I’m a Cambridge PhD Data Scientist working at the intersection of AI, sustainability, and geospatial intelligence to solve real-world environmental and social challenges. At the Skoll Centre for Social Entrepreneurship (University of Oxford), I build AI pipelines and decision-support tools to unlock actionable insights from complex data. This includes developing NLP workflows and chatbot solutions for corporate ESG and CSR reporting, analyzing climate risks in coastal megacities, and mapping drivers of social impact and business resilience. My academic journey spans an MPhil from Oxford and a PhD from Cambridge, where I pioneered machine learning applications to quantify deforestation and biodiversity loss in Southeast Asia. I combined satellite imagery, LIDAR, and ecological data to influence forest policy and conservation planning in Cambodia and the Philippines. Over the last decade, I’ve: Designed machine learning workflows to analyse global biodiversity risk. Created geospatial models to assess land cover and climate change impacts on agriculture and infrastructure (University of Cambridge, Imperial College London) Led NLP and AI-based research into corporate climate strategies and sustainable development trends (Imperial College London, Oxford University) Used R, Python, Google Earth Engine, and cloud platforms (AWS, GCP) to build scalable environmental models Developed computer vision solutions for canopy health, forest cover loss, and PDF/text extraction (Oxford University) Supported LLM and Langchain-based tools for ESG analysis and social impact tracking Advised governments, NGOs, and startups on integrating AI for nature-based solutions, climate adaptation, and risk financing Secured over £300,000 in funding as PI or co-PI, including the prestigious Imperial College Research Fellowship I work across sectors—academia, policy, private, and nonprofit—and enjoy translating deep technical insights into meaningful environmental outcomes. Research- https://scholar.google.com/citations? user=jyWeOkEAAAAJ&hl=en Github- https://github.com/Jojo666/openai-to-z-challenge

Philip Teale
Hello, I'm Philip Teale , and I help finance, accounting and financial planning professionals thrive in the age of AI. For the past 10 years , I've been at the forefront of digital and tech solutions within the financial services sector, and have seen firsthand how much revenue and attention are wasted on manual, repetitive tasks. My mission with Phlare.org is simple: to bring you the practical, proven strategies and tools you need to stop doing the "administrivia" and start focusing on high-value growth. I understand that for an accounting firm or financial planner, every hour is precious. My courses are specifically designed to tackle the most arduous, time-consuming parts of your business, such as client onboarding, compliance checks and data entry. Imagine reclaiming 20% or even 30% of your team's day. That’s not a pipe dream; it's the realistic outcome of implementing smart AI and automation . For senior leaders at larger institutions, these courses provide a critical framework for scalable efficiency, reducing operational costs, and future-proofing your business against market pressures. I focus on showing you exactly how to save time and money by turning inefficient workflows into automated powerhouses. In my courses, you won't just learn about the technology; you’ll learn how to implement it to generate tangible returns. I translate complex concepts into clear, actionable steps, ensuring that whether you’re a partner at a firm or a department head at a bank, you can immediately apply these solutions to boost your firm's revenue and free up your most valuable resource - your attention . Let's work together to automate the mundane so you can dedicate your expertise to strategic client service and business growth. I look forward to helping you transform your business with the power of intelligent automation.

Dr. Devon Madon
Hi, I’m Devon Madon. I teach people how to understand, explain, and use AI in real-world contexts—whether that’s in the courtroom, the classroom, or the shop floor. I come to this work with a PhD in Literature from Loyola University, years of teaching experience, and hands-on expertise as both an educator and a business owner. I co-own Madon Sheet Metal, a union fabrication company in Chicagoland, where I’ve seen firsthand how technology and trades intersect. I also work as an AI analyst and evaluator, partnering on projects with Google Gemini, Meta, and GlobalLogic, where I focus on how large language models learn, reason, and interact. My passion is making AI clear, accessible, and practical. I’ve co-authored articles for Law360 on explaining LLMs to juries, spoken at conferences like SMACNA, and I’m developing plain-language guides to help lawyers, educators, and professionals use AI responsibly and effectively. At the heart of my teaching is this belief: AI isn’t magic, it’s a tool. And when you understand it, you can use it to amplify—not replace—your human skills like judgment, creativity, and communication. Keywords: AI education, lifelong learning, legal technology, large language models, LLMs, trades education, communication, expert witness, AI literacy, teaching AI.

Justin Von Braun
I train and build generative AI systems that think, adapt, and create. With a foundation in IT systems, cybersecurity, and creative automation, I focus on designing intelligent AI workflows that merge artistry with engineering. My work blends prompt design, model refinement, and multi-tool integration across platforms like ChatGPT, Stable Diffusion, and ComfyUI — empowering individuals and teams to take creative control over AI-driven visual storytelling. Through Prompt Lab, I’ve built a global learning community dedicated to teaching the principles of cinematic AI art and regenerative design — helping users move from curiosity to professional-grade results. My mission is to make advanced AI artistry and workflow automation accessible to everyone, regardless of background or skill level. Certified through IBM, Google, CompTIA, and Infosec in areas spanning Generative AI, Cybersecurity, IT Fundamentals, and Prompt Engineering, I bring a technically grounded approach to creative AI development, focusing on ethical, scalable, and visually expressive outcomes.

Laurie Dougherty
Laurie Dougherty is an experienced facilitator, instructional designer, and leadership trainer who helps organizations turn meetings into productive, engaging, and results-driven conversations. As founder of Dougherty Inc. Facilitation and Training, she has taught hundreds of professionals practical tools for collaboration, decision-making, and strategic planning. A certified ToP® (Technology of Participation) facilitator and approved Social Styles trainer, Laurie’s methods are grounded in participation, inclusion, and real-world results. She has worked extensively with government agencies, nonprofits, universities, and utilities—helping teams improve communication, trust, and follow-through. Her sessions are known for being interactive, approachable, and easy to apply—transforming how people work together every day.
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AI Personal Branding Mastery - From Beginner to Pro
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Lambros LazopoulosAll AI for Marketing courses
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From Zero Sales to $2,100 in One Week: The AI Framework That Finally Worked
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From Zero Sales to $2,100 in One Week: The AI Framework That Finally Worked
I couldn't sell to save my life. AI + this framework changed everything.
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Frequently asked questions
AI copywriting tools like Jasper, Copy.ai, and ChatGPT analyze millions of examples to generate ad copy optimized for clicks and conversions. They can tailor tone, insert persuasive CTAs, and A/B test variations, helping marketers increase ROI without hiring additional copywriters.
Yes. AI SEO tools like SurferSEO and Clearscope guide content creation by suggesting keywords, headings, and search intent alignment. Combined with AI writers, marketers can produce SEO-optimized blog posts that rank faster on Google.
AI integrates with ad platforms to analyze audience data, predict click-through rates, and adjust bidding strategies in real time. This ensures ads are served to the right customers at the right moment, lowering cost per acquisition (CPA).
AI can generate captions, images, and video snippets tailored to each platform. Tools like Lately and Ocoya analyze engagement data to recommend posting times, hashtags, and content styles that maximize reach.
Yes. AI design tools like Canva AI and Adobe Firefly can instantly create branded templates, ad creatives, and social posts aligned with company style guides. This ensures consistency across campaigns while reducing design bottlenecks.
Traditional SEO platforms like SEMrush and Ahrefs provide keyword and backlink analysis, while AI SEO tools add content generation and real-time optimization. Many marketers now use both together: research from SEMrush, execution with AI.
AI speeds up A/B testing by generating multiple creative variations automatically and analyzing performance data in real time. Instead of testing two versions, marketers can test dozens at once and let AI quickly identify the top performer.
Absolutely. Platforms like Seventh Sense and Persado personalize subject lines, CTAs, and send times based on recipient behavior. This boosts open rates and click-through rates without requiring manual segmentation.
AI analytics tools generate end-to-end attribution models that show which channels, creatives, and campaigns drive conversions. Marketers get a clearer view of ROI by linking ad spend to revenue with precision.
If prompts or settings aren’t controlled, AI may produce copy that drifts off-brand. The solution is to train AI with brand voice guidelines, tone libraries, and approved templates—ensuring every output stays consistent.
Yes. AI sentiment analysis tools scan reviews, surveys, and social mentions to detect positive, neutral, or negative sentiment. Brands use these insights to adapt messaging, fix pain points, and improve customer loyalty.
AI levels the playing field by automating keyword research, optimizing content, and suggesting backlink strategies. Small businesses can produce SEO-optimized blogs, product pages, and ads at scale, competing with larger brands on visibility.
Leading playbooks include AI-powered funnel optimization, automated content calendars, predictive lead scoring, and personalized ad targeting. These strategies help businesses scale campaigns with less manual effort.
Yes. AI tools analyze historical performance, audience data, and creative assets to forecast impressions, clicks, and conversions. This allows marketers to refine campaigns before spending budget.
The best approach is AI for scale, humans for originality. AI handles repetitive content production, while marketers focus on storytelling, strategy, and unique brand differentiation. Together, they drive both efficiency and authenticity.