Prof. Ryan Ahmed

Copilot & AI Agents for Data Science Bootcamp [2026]

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The Copilot & AI Agents for Data Science Bootcamp [2026] is a forward-thinking curriculum designed to bridge the gap between traditional data science workflows and the rapidly evolving world of Generative AI. As the industry shifts toward agentic workflows, this course empowers learners to stop performing repetitive coding tasks manually and instead start orchestrating AI agents to handle data wrangling, feature engineering, and complex model validation. You will dive deep into the integration of Microsoft Copilot and Python, moving beyond simple prompt engineering to build specialized agents that perform tasks like automated Z-score anomaly detection, data cleaning, and systematic visualization. The bootcamp offers a unique advantage by focusing on both the technical implementation of machine learning algorithms—such as Random Forests and Support Vector Machines—and the strategic deployment of AI assistants that interpret metrics like F1 scores and ROC-AUC. Whether you are aiming to streamline your EDA (Exploratory Data Analysis) process or looking to automate large-scale classification pipelines, this course provides a pragmatic, hands-on framework. It helps data professionals transition from 'code-first' to 'agent-first' development, ensuring you stay competitive in an era where AI-augmented analysis is becoming the standard for business intelligence and predictive modeling.

10 Days of No Code Artificial Intelligence Bootcamp

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The 10 Days of No Code Artificial Intelligence Bootcamp designed by Prof. Ryan Ahmed is a game-changing program tailored for professionals, entrepreneurs, and tech enthusiasts who want to harness the power of machine learning without writing a single line of code. Over a structured ten-day journey, this course demystifies advanced AI concepts and guides students through building ten distinct real-world projects. By leveraging state-of-the-art visual and automated machine learning platforms, participants gain hands-on experience with industry-standard tools including Google Teachable Machines, DataRobot, AWS SageMaker Autopilot, and Google Vertex AI. Throughout this practical bootcamp, learners explore critical machine learning workflows, from data preparation to model deployment and monitoring. You will build and deploy models targeting diverse scenarios, such as detecting diabetic retinopathy, classifying fashion items, predicting employee attrition, and estimating used car prices. Beyond just clicking buttons, the course ensures a deep conceptual understanding of fundamental AI principles. You will learn how to evaluate models using key performance indicators like confusion matrices, R-squared, and mean absolute error, and understand the core theory behind deep neural networks like ResNets. Whether you are a business analyst looking to make data-driven decisions or a product manager wanting to integrate AI features, this course provides the perfect launchpad.

The Agentic AI Engineering Masterclass 2026

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The Agentic AI Engineering Masterclass 2026, crafted by Prof. Ryan Ahmed, stands as a premier guide for developers, automation specialists, and tech enthusiasts aiming to master the future of autonomous systems. This comprehensive program delves deep into the cutting-edge landscape of AI Agents, equipping learners with the practical skills required to build, orchestrate, and deploy highly sophisticated, multi-agent workflows. Throughout this course, you will gain hands-on experience with industry-standard frameworks and protocols, including the OpenAI Agents SDK, LangGraph, CrewAI, AutoGen, and the revolutionary Model Context Protocol (MCP). By working through real-world scenarios, you will learn to implement robust handoff mechanisms, design memory-enabled systems, enforce behavioral guardrails, and leverage low-code platforms like n8n for seamless integrations with tools such as Gmail, Slack, and Google Sheets. Whether you are aiming to design collaborative AI teams, configure multi-model environments containing GPT, Claude, and Gemini, or deploy human-in-the-loop validation systems, this masterclass provides the architectural blueprint and practical coding exercises to elevate your engineering career into the high-demand arena of cognitive automation.

Generative AI, ChatGPT 5, Copilot & AI Agents Mastery 2026

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This masterclass, led by industry expert Prof. Ryan Ahmed, offers a comprehensive deep dive into the practical applications of cutting-edge artificial intelligence. Designed for business professionals, data analysts, and tech enthusiasts alike, the course bridges the gap between theoretical AI concepts and real-world implementation. Participants will gain hands-on experience leveraging advanced models like ChatGPT 5, Microsoft Copilot, Gemini, and Claude to automate repetitive tasks, draft complex business documentation, and optimize decision-making workflows. Throughout this hands-on journey, learners build 12 practical projects that directly translate to workplace efficiency. The curriculum covers a massive range of business-critical skills, from building custom AI agents in Copilot to performing advanced financial forecasting using ARIMA and Machine Learning algorithms. Additionally, the course addresses data cleaning, visualization, and anomaly detection with AI, empowering professionals to extract actionable insights from raw company data safely and securely. Whether you are aiming to streamline your marketing strategies, perform detailed SWOT analyses, or develop custom GPTs trained on proprietary company data, this guide provides the necessary technical scaffolding and business logic to keep you ahead of the digital transformation curve in 2026 and beyond.

ChatGPT, Midjourney, ChatGPT 4 & 5, & DallE - The AI Bible

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This masterclass, led by artificial intelligence expert Prof. Ryan Ahmed, serves as the ultimate handbook for anyone looking to harness the power of generative AI. Ideal for beginners, digital creators, and business professionals, the curriculum offers a deep dive into the practical application of cutting-edge platforms like ChatGPT, Midjourney, Dall-E, and Google Gemini. Students will explore prompt engineering techniques that unlock the full potential of GPT-4 and future iterations, allowing them to automate repetitive workflows, build customized GPT models with unique datasets, and understand the rise of autonomous AI agents. Beyond text generation, the course demystifies AI-driven art creation through Midjourney, enabling users to transform descriptive prompts into stunning visual assets. With hands-on elements like training custom models via Google Teachable Machines, learners will walk away with the practical knowledge needed to 10x their productivity and build real-world AI projects. This comprehensive guide ensures that participants can transition from simple prompt users to advanced AI implementers, optimizing their career trajectory in an increasingly automated world.

Claude Code & Agentic AI Mastery for Beginners [2026]

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Claude Code & Agentic AI Mastery for Beginners [2026], led by Prof. Ryan Ahmed, offers an immersive, hands-on gateway into the rapidly evolving landscape of Anthropic's developer ecosystem. This course is meticulously designed for non-programmers and tech enthusiasts who want to build sophisticated, production-ready applications, automation workflows, and multi-agent systems without writing traditional code. Learners will dive deep into installing and optimizing Claude Code within environments like VS Code, unlocking its full potential through practical, real-world projects. Throughout the curriculum, students master the essential execution modes—including Plan Mode, Auto-Accept Mode, and Default Mode—to control how AI agents behave and make autonomous decisions. The training goes beyond basic prompting, teaching valuable skills like context window optimization, markdown structuring, and API integration with external tools like Google Gemini. By exploring persistent memory, custom plugins, and automated workflows, this course empowers professionals to deploy collaborative teams of AI agents that solve complex business challenges autonomously.

Mastering Microsoft 365 CoPilot & AI Agents [2026]

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Mastering Microsoft 365 CoPilot & AI Agents is an industry-leading, hands-on bootcamp designed to help professionals, data analysts, and business leaders harness the full power of generative AI within the Microsoft ecosystem. Led by renowned instructor Prof. Ryan Ahmed, this course guides learners through practical, real-world applications of Microsoft CoPilot across essential productivity tools like Excel, Word, PowerPoint, Teams, and Outlook. Students will discover how to automate complex workflows, draft high-converting emails, summarize extensive meeting transcripts, and perform sophisticated data visualization, including heatmaps and time-series analysis in Excel. Moving beyond basic prompting, the curriculum dives deep into the creation of custom autonomous AI agents. Learners will build intelligent agents integrated with SharePoint to streamline corporate operations, generate high-quality synthetic datasets, and supercharge collaborative workflows. Whether you are an absolute beginner looking to save hours of manual work weekly or an advanced developer aiming to deploy cutting-edge AI agents in an enterprise environment, this masterclass provides the step-by-step blueprints and theoretical depth required to lead the AI-driven workplace transformation in 2026.

LLM Engineering, RAG, & AI Agents Masterclass [2026]

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This masterclass, led by industry expert Prof. Ryan Ahmed, offers an intensive, hands-on path for developers, data scientists, and tech enthusiasts aiming to establish themselves as elite AI Engineers. Designed around modern agentic architectures, the curriculum bridges the gap between theoretical machine learning and practical, production-ready AI applications. Students will dive deep into foundational Large Language Models (LLMs) and rapidly transition into constructing advanced Retrieval-Augmented Generation (RAG) pipelines using LangChain, ChromaDB, and Pydantic. What sets this course apart is its comprehensive coverage of multi-agent orchestration frameworks like AutoGen, LangGraph, CrewAI, and the cutting-edge Model Context Protocol (MCP). Learners will master complex workflows involving tool calling, state management, and human-in-the-loop interventions. From building automated booking agents to developing collaborative data science teams, the practical projects ensure that graduates possess a robust portfolio. Whether you want to optimize model latency, fine-tune open-source models using parameter-efficient techniques like LoRA, or integrate seamless automation with n8n, this 14-day bootcamp style curriculum delivers the precise skills needed to succeed in the rapidly evolving AI landscape.

Mastering Claude Cowork & AI Agents in 5 hours [2026]

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Mastering Claude Cowork & AI Agents in 5 hours offers a comprehensive, zero-coding deep dive into the next generation of productivity and workflow automation. Led by Prof. Ryan Ahmed, this course is meticulously designed for business professionals, marketers, financial analysts, and AI enthusiasts who want to leverage Agentic AI without writing a single line of code. Students will explore the core concepts of Claude Cowork, discovering how to orchestrate multiple cooperative AI agents that collaborate seamlessly to tackle complex, multi-step business operations. The curriculum unpacks critical advancements like the Model Context Protocol (MCP), enabling learners to connect Claude to local system files, automate email distribution via Gmail, and manage directories locally. From building custom plugins and slash commands to executing advanced data visualization, the course provides practical, real-world finance and marketing case studies. By the end of this five-hour hands-on journey, you will know how to design, deploy, and manage a team of autonomous AI agents that handle end-to-end projects with minimal human intervention.

AI Agents for Beginners: Build Agents in Python & OpenAI

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This masterclass, led by Prof. Ryan Ahmed, provides a comprehensive, hands-on introduction to building autonomous AI agents from scratch using Python and the OpenAI Agents SDK. Designed specifically for beginners and aspiring AI engineers, the course demystifies the core components of modern agentic workflows. Students start by mastering system prompts, setting instructions, and structuring contexts before moving on to advanced concepts like persistent memory utilizing SQLite-based session storage. The curriculum guides learners through practical projects, such as constructing a travel planner, a personal finance advisor, and specialized multi-agent systems consisting of researchers, analysts, and writers. By integrating built-in capabilities like Code Interpreter alongside custom FunctionTools, students learn to grant their agents real-time search and data-retrieval skills. Crucially, the course covers the orchestration of multi-agent collaborations, smooth context handoffs, and the implementation of robust guardrails to restrict inappropriate topics. Whether you are a software developer looking to transition into AI or a tech-savvy professional aiming to automate complex tasks, this course delivers the exact practical skills needed to design, test, and deploy resilient, real-world AI agent systems.

The Complete Claude Code & Claude Cowork Masterclass [2026]

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The Complete Claude Code & Claude Cowork Masterclass, created by Prof. Ryan Ahmed, offers an immersive, hands-on journey into the next generation of AI agent orchestration. This course is tailored for developers, business leaders, and data analysts eager to shift from basic prompting to building fully autonomous agentic workflows. Participants will master Claude Code, a terminal-based interface, to scaffold, debug, and deploy full-stack applications with live previews. The curriculum also delves deeply into Claude Cowork, teaching you how to build dedicated AI agent teams, configure custom agent skills, and utilize specialized plugins. You will learn to connect Claude to essential enterprise tools like Slack, Gmail, and Salesforce using the Model Context Protocol (MCP). Throughout the masterclass, you will build automated pipelines that process raw data, perform advanced financial modeling, design custom Excel dashboards, and generate executive-level PowerPoint presentations. By the end of this course, you will possess the practical skills needed to deploy autonomous multi-agent teams that streamline business processes, increase operational efficiency, and solve complex, multi-step technical challenges.

The Complete Microsoft Copilot Studio & AI Agents Bootcamp

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The Complete Microsoft Copilot Studio & AI Agents Bootcamp, created by Prof. Ryan Ahmed, offers an immersive and highly practical learning experience designed for professionals eager to master autonomous AI agents and workflow automation. As industries rapidly shift toward agentic AI architectures, this comprehensive bootcamp bridges the gap between conceptual understanding and real-world execution within the Microsoft ecosystem. Participants learn how to build, deploy, and manage intelligent agents capable of advanced reasoning, decision-making, and executing tasks without human intervention. Throughout the training, students explore critical methodologies including Retrieval-Augmented Generation (RAG) to connect agents with domain-specific knowledge bases. The curriculum covers integrating custom REST APIs, configuring advanced triggers, and orchestrating coordinated multi-agent teams to handle complex enterprise scenarios—from financial analysis to automated marketing campaigns. Ideal for developers, IT specialists, and business automation engineers, this course ensures that learners can confidently deploy AI agents across Microsoft 365 tools like Teams, Excel, and SharePoint, unlocking tangible productivity gains.