Jones Granatyr, AI Expert Academy

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The 'No-Code and No-Math Machine Learning' course, crafted by Jones Granatyr and the AI Expert Academy, represents a major shift in how artificial intelligence is taught. Traditionally, entering the machine learning field required a deep understanding of advanced mathematics, linear algebra, and complex programming languages like Python or R. This course democratizes access to AI by removing those technical barriers entirely. Designed for business professionals, entrepreneurs, product managers, and curious beginners, the curriculum focuses on hands-on application rather than theoretical abstractions. Students will explore an impressive suite of modern no-code platforms, including Google Vertex AI, DataRobot, Obviously AI, BigML, Microsoft Azure Machine Learning, and the visual programming tool Orange. Through practical demonstrations, learners discover how to upload datasets, preprocess data, select algorithms, and train predictive models visually. By mastering classification, regression, and time-series forecasting, participants gain the ability to extract actionable insights and deploy working machine learning models directly into production environments, empowering them to drive data-backed decision-making in their organizations without writing a single line of code.

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This course is highly recommended for finance managers, accountants, and financial analysts seeking to modernize their workflows using artificial intelligence. Led by Jones Granatyr and the AI Expert Academy, this hands-on program teaches professionals how to transition away from tedious manual processes and leverage tools like ChatGPT, Gemini, and DeepSeek. Students will learn the essentials of prompt engineering tailored specifically to financial data, enabling them to generate complex financial reports, perform automated spreadsheet analyses, and run simulations with ease. Crucially, the course explores no-code automation using Make, showing how to link systems together for automated email reports and data extraction. By working through practical scenarios—such as analyzing corporate financial statements, extracting insights from lengthy PDF documents, and setting up automated workflows—learners gain immediate, actionable skills. Additionally, the curriculum addresses critical industry considerations including data privacy, governance, and ethical AI deployment in financial services. Whether you want to optimize your fraud detection, automate receipt scanning, or master forecasting models, this course equips you with the modern AI skills needed to excel in a data-driven financial landscape.

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The 'Artificial Intelligence Video Generation' course, curated by Jones Granatyr and the AI Expert Academy, offers a comprehensive, hands-on exploration of the rapidly evolving landscape of generative video technologies. Designed for digital content creators, social media marketers, filmmakers, and AI enthusiasts, this course demystifies the complex processes behind turning simple text prompts or static images into dynamic, professional-grade videos. Students will dive deep into industry-leading tools such as Kling, PixVerse, Runway, and InVideo, learning how to select the right platform for specific stylistic needs—whether aiming for cinematic realism, vibrant 3D animation, or engaging cartoons. Beyond basic tool navigation, the curriculum prioritizes practical skills like advanced prompt engineering, image-to-video translation, and the integration of reference assets to maintain precise stylistic and structural control. Learners will also discover how to animate static portraits into lifelike AI avatars and generate complete, platform-optimized videos from scratch using purely textual descriptions. By the end of this course, participants will possess a robust toolkit for automating video workflows, streamlining production timelines, and unlocking new creative boundaries in the field of AI-driven multimedia production.

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Unlock the power of modern workflow automation with this comprehensive guide to n8n and autonomous AI agents. Designed for beginners and intermediate professionals alike, this course bridges the gap between manual business operations and intelligent automation. You will start by learning the foundations of n8n, exploring how to host it locally, self-host it on your own server, or leverage n8n Cloud. From there, you will dive into building practical workflows that connect everyday tools like Gmail and Google Drive with advanced generative AI models including Gemini, DeepSeek, and ChatGPT. By mastering webhooks, REST APIs, and error handling, you can scale your operations seamlessly. The course emphasizes hands-on projects, guiding you to build an intelligent Telegram support agent, a RAG-based chatbot trained on company documentation, and automated systems for sentiment analysis and dynamic reporting. Whether you are an entrepreneur looking to streamline your SaaS operations, a marketer automating content pipelines, or an IT professional deploying robust enterprise workflows, this course equips you with the skills to design, deploy, and scale production-ready AI agents without needing complex coding experience.