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Unclaimed ProfileThis 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.
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Prof. Ryan Ahmed
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Prof. Ryan Ahmed is a distinguished educator and technology leader dedicated to making artificial intelligence and machine learning accessible to a global audience. With a profound understanding of cutting-edge tech, Ryan specializes in demystifying complex concepts such as Agentic AI engineering, LLM system architecture, and advanced retrieval-augmented generation (RAG). His teaching methodology centers on a practical, hands-on approach that bridges the gap between theoretical data science and enterprise-ready application development. Whether guiding his students through building custom Python-based AI agents from scratch or configuring enterprise workflows using Microsoft Copilot Studio, Ryan ensures every lesson is grounded in real-world utility. He…Show more
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Learning format
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Price may change · updated within 1–2 weeks
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What You'll Learn
- Leverage ChatGPT, Gemini, Claude, and DeepSeek for various business applications, including research, brainstorming, creative writing, and coding assistance
- Master Microsoft CoPilot in Excel, PowerPoint, Teams, Word, & Outlook to automate tasks such as reports generation, presentations writing & email drafting
- Train & fine-tune custom GPT models using your proprietary company data to enhance decision-making, automate workflows, and generate business insights
- Build AI agents in CoPilot to handle complex workflows, decision-making, and business operations
- Leverage Generative AI for data wrangling, cleaning, and analysis, including handling missing values, merging datasets, and filtering
- Build forecasting models using ARIMA, SARIMA, Random Forest, and Prophet, and evaluate their performance with key error metrics
- Perform Data Visualization using Generative AI such as bar charts, heatmaps, scatter plots, pie charts, and time-series visualizations
- Conduct SWOT analysis, financial KPI comparisons, supply chain evaluations, and marketing strategy assessments using AI-powered tools
- Implement Z-score analysis and Isolation Forest techniques to identify sales anomalies, market fluctuations, and operational inefficiencies
- Simulate best-case, worst-case, and moderate-case scenarios for financial planning, sales forecasting, and business growth strategies
- Utilize AI for financial statement analysis, data extraction from 10-K reports, sentiment analysis, and financial forecasting
- Use ChatGPT Canvas to draft documents, generate reports, and write code interactively, enabling seamless collaboration between AI and humans
Best For
- Business professionals looking to integrate AI agents and Copilot into daily office workflows.
- Data analysts seeking to leverage generative models for financial forecasting and advanced data cleaning.
- Entrepreneurs and managers wanting to build custom GPTs trained on proprietary company data.
- Tech enthusiasts preparing for the 2026 landscape of AI-driven business operations.
Not For
- Software engineers looking for a deep-dive course on training Large Language Models from scratch.
- Individuals seeking a purely theoretical course without hands-on project implementation.
- Absolute beginners who have no prior interest in applying AI to business or data analytics tasks.
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