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Radouane Driouich and Webeuz Academy

This course contains the use of artificial intelligence

Transform Your Marketing with AI-Powered Automation - No Coding Required.

Ready to save 15+ hours per week while boosting conversions by 300%? This comprehensive AI marketing automation course teaches you to build sophisticated lead generation systems using cutting-edge artificial intelligence tools and no-code solutions.

Read more

This course contains the use of artificial intelligence

Transform Your Marketing with AI-Powered Automation - No Coding Required.

Ready to save 15+ hours per week while boosting conversions by 300%? This comprehensive AI marketing automation course teaches you to build sophisticated lead generation systems using cutting-edge artificial intelligence tools and no-code solutions.

What Makes This Course Different: Unlike generic automation courses, you'll master real AI implementation with chatbots, voice agents, and multi-channel workflows that work 24/7. Every strategy is taught using practical, hands-on examples you can implement immediately.

Master These High-Demand Skills:

  • AI Chatbot Development - Build intelligent conversational funnels that qualify leads automatically

  • Multi-Channel Automation - Connect Meta Ads, WhatsApp Business, Email, and CRM seamlessly

  • Voice AI Implementation - Deploy AI agents for automated prospect qualification calls

  • No-Code Workflows - Use Zapier, n8n, and Make to automate complex marketing processes

  • Lead Scoring Systems - Implement intelligent algorithms that prioritize high-value prospects

  • ROI Analytics - Track and optimize automation performance with advanced metrics

  • Cross-Platform Integration - Unify all marketing tools into one powerful automation hub

Proven Results You'll Achieve:

  • Eliminate 70% prospect leakage with instant AI-powered follow-up

  • Reduce manual lead qualification from hours to minutes

  • Automate customer journeys from first contact to conversion

  • Scale lead generation without increasing team size

  • Increase qualified leads by 400% using AI chatbot qualification

Tools & Platforms Covered: However, ALL automation concepts and AI strategies apply to ANY CRM platform: HubSpot, Pipedrive, Salesforce, Monday, Zoho, ActiveCampaign, and more. We also provide complete tutorials for free alternatives and step-by-step adaptation guides for your existing tools.

Your Expert Instructor: Learn from Radouane Driouich, Media Director at Webeuz Academy with 8+ years specializing in AI marketing automation. Redouane has trained hundreds of companies and generated millions in automated revenue using these exact strategies across multiple platforms.

Perfect For:

  • Small Business Owners wanting to scale without hiring more staff

  • Digital Marketers looking to add high-value AI automation skills

  • Freelancers & Consultants seeking to offer premium automation services

  • Sales Teams needing intelligent lead qualification systems

  • Entrepreneurs building scalable customer acquisition systems

  • Anyone interested in cutting-edge AI marketing implementation

Immediate Implementation: No complex setup required. Start implementing basic automations within your first hour using your existing tools or our recommended free alternatives. Advanced workflows become available as you progress through our structured 8-module system.

Trending Technologies Covered:

  • ChatGPT Integration for marketing automation

  • WhatsApp Business API for conversational commerce

  • Meta Ads Automation with AI optimization

  • Voice AI Technology for sales call automation

  • Prompt Engineering for marketing AI tools

  • No-Code Automation platforms and integrations

Why Automation is Essential Now: Companies using AI marketing automation see 3x faster growth and 50% lower customer acquisition costs. Don't get left behind – master these skills before your competition does.

Course Outcome: By completion, you'll operate a fully automated marketing system generating qualified leads 24/7, with AI handling initial conversations, lead scoring, and prospect nurturing automatically - regardless of which CRM or tools you currently use.

Enroll now

What's inside

Learning objectives

  • Master ai-powered marketing automation to generate qualified leads 24/7
  • Build complete chatbot funnels that convert prospects into paying customers
  • Automate meta ads to whatsapp workflows for maximum lead capture
  • Create intelligent lead scoring systems that prioritize high-value prospects
  • Implement voice ai agents for automated prospect qualification calls
  • Design multi-channel automation connecting crm, email, and social media
  • Set up conversion tracking systems to measure automation roi accurately
  • Build automated nurture sequences that increase conversion rates by 300%
  • Create ai-powered customer journey mapping for seamless user experience
  • Develop no-code automation workflows using zapier, n8n, and make
  • Master prompt engineering for marketing ai tools and chatbot conversations
  • Implement automated lead qualification saving 15+ hours per week
  • Build intelligent alert systems for hot prospects and sales opportunities
  • Create personalized marketing campaigns using ai customer segmentation
  • Design automated follow-up sequences that eliminate prospect leakage
  • Master analytics dashboards for real-time automation performance monitoring
  • Build cross-platform integration connecting all your marketing tools seamlessly
  • Create ai-powered content generation for automated email and social campaigns
  • Implement automated customer onboarding workflows for better retention rates
  • Master advanced automation strategies used by top-performing marketing teams
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Syllabus

Introduction
Universal Analytics & KPIs
Mastering Multi-Channel Marketing KPIs and Real-Time Dashboards
Meta Ads + WhatsApp Integration
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Career center

Learners who complete ClientX Marketing Automation: AI Lead Generation will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in ClientX Marketing Automation: AI Lead Generation.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
A practical guide focusing on the essential activity of prospecting across various channels. is crucial for anyone involved in direct sales or business development, offering actionable strategies to keep the sales pipeline full. It emphasizes the importance of consistent effort and a proactive mindset in lead generation. It serves as a useful reference tool for sales teams.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Written by the founders of HubSpot, this book cornerstone for understanding the inbound methodology, a key approach to lead generation in the digital age. It explains how to attract customers through valuable content and experiences rather than traditional interruption marketing. is essential for gaining a broad understanding of modern lead generation strategies, particularly in a digital context.
Focused specifically on Zapier, a popular no-code automation tool, this book dives into practical workflow automation and the integration of generative AI. It's highly relevant for those wanting to deepen their understanding of a specific platform and contemporary no-code applications. is valuable for undergraduate students and professionals aiming to implement no-code solutions.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Is widely considered a foundational text in Natural Language Processing (NLP), which is essential for chatbot development. It provides a comprehensive theoretical and practical introduction to the field, covering linguistic concepts and computational techniques. While substantial, it's an invaluable reference for those seeking a deep understanding of the underlying principles of how chatbots process and generate human language. It is often used as a textbook in university courses.
Is an excellent resource for understanding how to build applications and automate processes using no-code tools, particularly for entrepreneurial purposes. It covers the basics of data storage, automation, and even AI integration, making it highly relevant for gaining practical skills. It is well-suited for undergraduate students and professionals looking to build their own solutions.
Provides a straightforward and practical guide to prospecting and developing new business. It's an essential read for sales professionals and business owners looking to improve their ability to find and engage potential customers. It offers clear strategies and useful reference for sales teams.
Provides a hands-on approach to prompt engineering with a focus on using the OpenAI API. It's particularly relevant for undergraduate students, graduate students, and working professionals who want to programmatically interact with LLMs. It serves as a practical guide for implementing prompt engineering techniques in applications.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
While focused on Microsoft Power Platform, this book provides a strong understanding of implementing no-code/low-code solutions for digital transformation, including automation and AI. It's highly relevant for professionals working with or planning to use the Power Platform. It offers strategic guidance and practical implementation details.
Focuses on the creative aspects of prompt engineering and generating diverse language outputs. It's a good fit for students and professionals looking to go beyond basic prompting and explore more advanced techniques for creative content generation. It adds breadth by covering applications in areas like creative writing and podcasting.
Written by a former HubSpot executive, this book focuses on building a scalable sales model using data, technology, and inbound principles. It's highly relevant for understanding how to leverage technology and data analytics in lead generation and sales acceleration. is valuable for those interested in a data-driven approach and is often used by sales leaders.
Delves into more advanced lead generation strategies, suitable for those looking to deepen their understanding and explore contemporary approaches. It covers topics beyond the basics and offers insights into optimizing lead generation efforts in a complex digital landscape. It is particularly useful for working professionals seeking to refine their strategies.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Focuses on using social media to tell your story and engage with your audience, providing value ('jabs') before making a sales pitch ('right hook'). It's highly relevant for understanding social media's role in contemporary lead generation and building relationships with prospects online.
Explores the use of low-code and no-code approaches for building AI and machine learning models. It provides a practical, project-based introduction to a contemporary application of no-code principles. This is valuable for undergraduate and graduate students, as well as professionals looking to apply AI in their work without extensive coding.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
A comprehensive guide aimed at making prompt engineering accessible to a wide audience. It covers various techniques and applications for leveraging AI language models effectively. is useful for high school students through working professionals seeking a thorough introduction and practical guidance.
Content marketing key component of inbound lead generation. provides a comprehensive guide to creating and using content to attract and engage potential customers. It's highly relevant for understanding how to leverage content for lead generation in the digital age.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.
Provides a broad understanding of the low-code/no-code movement and the rise of citizen developers. It's highly relevant for gaining foundational knowledge in the field, explaining the 'why' behind no-code automation and its potential impact on businesses. It's suitable for high school and undergraduate students, as well as professionals seeking an overview.
A classic in sales and business strategy, this book emphasizes implementing a few key strategies with relentless focus to achieve dramatic improvements. While not solely focused on lead generation, it provides valuable insights into creating a high-performing sales and marketing engine, which is fundamental to effective lead generation. It's a valuable resource for understanding the broader business context of lead generation.
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This ebook focuses specifically on the power of no-code for workflow automation and how it can transform business processes. It's a practical guide for understanding the benefits and implementation of no-code automation in workflows. Relevant for professionals looking to streamline their work.
This guide aims to make prompt engineering accessible with a step-by-step approach. It is well-suited for beginners and those new to the field, including high school students and those in introductory undergraduate programs. It provides practical tips and is useful for gaining a broad understanding of how to formulate effective AI prompts.
Specifically addresses leveraging social media for B2B lead generation. It provides actionable advice on using platforms like LinkedIn, Twitter, and Facebook to generate leads in a business-to-business context. It's highly relevant for B2B marketing and sales professionals.
Synthesizes the five foundational tribes of machine learning into a unified conceptual framework, illuminating how symbolists, connectionists, evolutionaries, Bayesians, and analogizers approach intelligence.
While primarily focused on sales, this book's insights into understanding customer needs and challenging their assumptions are highly relevant to lead generation. It provides a framework for engaging prospects in a way that creates value and differentiates your offering. is useful for sales and marketing professionals working together on lead conversion.
Introduced the concept of obtaining customer consent before sending marketing messages. It's a foundational text for understanding ethical and effective long-term lead generation strategies that build relationships. It's a classic in the marketing field with enduring relevance to lead generation.
This handbook offers a comprehensive overview of the intersection of business process management and digital transformation, with significant relevance to no-code automation. It covers contemporary trends and research, providing a multidisciplinary perspective. This valuable reference for researchers, graduate students, and professionals seeking in-depth knowledge.
This guide offers quick tips and tricks for prompt engineering across different generative AI models, including text and image generation models. It's a practical resource for users who want to improve their immediate results with various AI tools. It's suitable for all levels looking for actionable advice.
Provides a framework for creating clear and compelling marketing messages that resonate with customers. While not exclusively about lead generation, clarifying your message is crucial for attracting and engaging potential leads effectively. It helps in developing the messaging used in lead generation campaigns.
Focuses on no-code development and process automation within the SAP Build environment. It's a valuable resource for individuals and organizations using or planning to use SAP for their business processes and automation. It serves as a comprehensive guide and reference for SAP-specific no-code capabilities.
This ebook provides an overview of no-code test automation, covering its advantages, disadvantages, and best practices. It's a valuable resource for those interested in applying no-code principles to software testing. Suitable for individuals in quality assurance roles or those interested in testing automated workflows.
Delves into intelligent automation (IA) within the context of digital transformation, which includes no-code automation as a key component. It provides a strategic perspective on building automation programs, incorporating AI. This is particularly relevant for graduate students and professionals involved in planning and implementing large-scale automation initiatives.
A classic in understanding the psychology behind why people say 'yes.' While not specifically about lead generation, the principles of persuasion outlined in this book are fundamental to influencing potential customers and encouraging them to become leads. It provides valuable background knowledge for anyone in sales or marketing.
Offers a simplified approach to creating a marketing plan, including strategies for lead generation. It's useful for entrepreneurs and small business owners who need a clear and actionable framework for acquiring customers. It provides a good overview of integrating lead generation into a broader marketing strategy.
Provides a practical guide to building chatbots using the Rasa framework, a popular open-source tool for conversational AI. It covers the process of constructing, training, and deploying chatbots, making it highly relevant for developers working with this specific platform. It's a hands-on resource for building functional chatbots.
Explores prompt engineering within the broader context of generative AI and touches upon ethical considerations. It's relevant for all levels, providing a balanced view of the technical aspects and the societal impact of generative AI. It's useful for gaining a broader understanding and considering the responsible use of AI.

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