
Develop a team of AI agents to research Tesla price data and three recent news items, analyze drivers, and deliver a final bullish or bearish verdict with an Excel report.
Explore how agentic AI and autonomous AI agents transform white-collar work, enabling end-to-end workflows—from building financial models in Excel to creating reports and presentations in minutes.
Outline covers cloud co-work and autonomous AI agents, MCP-connected actions (Gmail, apps), tokens and context windows, skills and plugins, and building automated workflows for dashboards and forecasting.
Learn by doing with Claude cowork and ai agents, tackle practice opportunities, and build an end-to-end project portfolio while growing your personal brand on LinkedIn.
Explore Cloud Co-Work to deploy autonomous AI agents inside folders, automate tasks, and build custom skills and plugins for finance, marketing, and research.
Explore Cloud Co-Work's capabilities, including plan-driven task execution in a sandbox, direct local file access, multi-agent coordination, and professional outputs across documents, data analysis, and automation with scheduling.
watch a live demo of cloud co-work, an agentic ai capability, automating tasks inside your computer, organizing receipts, invoices, and contracts, and generating a categorized Excel summary with currency conversion.
Explore MCP, a standardized open source protocol allowing AI agents to talk to external tools like Gmail. See the agent connect via MCP to many connectors for tasks.
Demo shows connecting Cloud Cowork to Gmail, drafting and sending an email with the receipts summary from an Excel sheet, including currency conversion from USD to CAD.
Learn the foundations of large language models by mastering tokens and the context window, including how tokenization drives cost, context limits, and multi-agent orchestration.
Tokenize two prompts about supervised versus unsupervised learning using the OpenAI tokenizer, and record token counts to illustrate cost structure; then reflect on Sam Altman's article.
Explore tokenization and the cost structure of AI agents using the OpenAI tokenizer to see how prompts and politeness affect token counts and context utilization.
Learn how skills extend Cloud Cowork by using skill.md metadata to define and load specialized tasks, from PowerPoint and Excel to LinkedIn post drafting, via built-in, custom, and partner skills.
Explore Cloud Cowork to install a LinkedIn post writer skill, load the state of AI report, and have the agent draft a post in your voice with hooks and hashtags.
Explore how Claude plugins bundle skills, connectors, and slash commands into workflows that power sub-agents to automate finance, design, and data tasks.
See how Cloud Co-Work, powered by a data plugin, automates end-to-end data analysis—from cleaning missing values to building visualizations and dashboards.
Learn how to use the cloud data plugin to automate data analysis, explore data quality, clean and save a v1 cleaned dataset, and run a data validation workflow.
Build interactive dashboards and visualizations using the data plugin, transforming raw data into KPI charts, filters, and tables with seaborn, matplotlib, and plotly integrations.
Use the data plugin in Cloud Cowork to perform data visualization on sales data file, then analyze the results and perform a sanity check to automate workflows with Claude plugins.
Learn to automate data workflows with Claude plugins in Cloud Co-Work, import sales data, and create visualizations with pandas, matplotlib, seaborn, and plotly to generate PNG charts and dashboards.
Perform descriptive statistics, trend analysis, and outlier detection to generate a statistical summary. Then automatically create PowerPoint slides with findings using a template for manager presentation.
Use the forecasting time series data skill in Cloud Cowork to automate financial forecasting, data analysis, and model selection with ARIMA and SARIMA, producing forecasts and visualizations.
Upload your own Cloud Co-Work custom plugin and create slash commands for variance analysis and financial statement generation to power a tailored finance workflow.
Watch a live demo of a custom finance plug-in that performs variance analysis on an Excel sheet and auto-generates financial statements, building a full automated workflow.
Utilize cloud co-work with a finance plugin to generate financial statements. Produce executive summaries, income statements, balance sheets, cash flow statements, metrics, and PowerPoint presentations.
Perform exploratory data analysis on reviews.xlsx with Claude plugins, generate a statistical summary, create a dashboard and word cloud, and deliver a three-slide PowerPoint summary.
Learn to use cloud co-work with the data plugin to perform data analysis, create visualizations and dashboards, automate workflows with slash commands, and build interactive dashboards using AI-powered agents.
Discover how Claude Chat drives research, data visualization, and dashboard creation by generating interactive charts and grounded summaries from sources.
Master prompt engineering fundamentals and four components: context, instruction, input data, and output indicator, to maximize ai outputs. Learn top practices like system prompts, avoiding hallucinations, and iterative, structured prompts.
Explore zero-shot prompting, few-shot prompting (in-context learning), and chain-of-thought prompting to guide Claude and other LLMs with prompts, examples, and step-by-step reasoning.
Learn to use Claude in deep research mode to launch parallel sub-agents for in-depth reviews of next-gen ev battery tech, including solid-state batteries, advanced electrolytes, sodium-ion, and battery swapping.
Leveraging Claude for creative writing by importing memories, using voice prompts, and generating versatile content—from emails and poems to social media posts—with tone control.
Use cloud chat and large language models to brainstorm ideas, voice-input prompts with microphone, and explore futuristic features for a fully autonomous Tesla, refining ideas with expansion and reports.
Use cloud chat to perform data analysis and create interactive dashboards from a breast cancer dataset, generating 10 visualizations—radar, scatter, and line charts—through Claude frontend design skills.
Extract financial data from a 10k PDF using cloud AI to generate editable Excel sheets and PowerPoint slides, with voice-enabled search and quick sanity checks.
Analyze the financial statements using Claude to identify liquidity risks, then generate a one-page PowerPoint slide summarizing current ratio, cash flow coverage, debt impact, assets and liabilities.
In this course, you’ll learn how to move beyond AI-assisted work and simple prompts to build agentic systems that execute tasks, automate workflows, and deliver real business outcomes.
You’ll go from understanding how AI works to designing and deploying AI agents that connect to tools, process data, and operate across real-world systems.
We’ll start with the foundations of Claude Cowork and the shift toward autonomous agents. Then, you’ll learn how to connect AI to external tools using MCP, manage context and tokens efficiently, and design powerful agent capabilities.
A core focus of this course is building and extending agents using skills and plugins.
You’ll learn how to:
Structure and write SKILL Markdown files to define agent behaviour
Install and manage skills from the marketplace
Extend your agent with custom capabilities
Use and customize Claude plugins for real-world workflows
From there, you’ll build production-ready systems using the Data Plugin, where you’ll perform:
Data cleaning and validation
Data visualization and dashboard creation
statistical analysis
Automated reporting and PowerPoint generation
You’ll also create your own custom plugins and automated workflows, including financial forecasting systems and end-to-end automation pipelines.
By the end of the course, you won’t just be using AI—you’ll be building fully functional AI agents that can analyze, execute, and deliver results independently.
You’ll also master practical applications of Claude for:
Content creation
Coding and problem-solving
Deep research and document analysis
Financial data extraction from PDFs
Dashboard and report generation
This is a hands-on course built around real demos, real workflows, and real use cases—so you can immediately apply what you learn to your job or business.