About the AI & Automation Accelerator

Why Choose the AI & Automation Accelerator?

Master In-Demand Skills

Python, Google Apps Script, AI API Integration (Gemini, Groq), Data Visualization (Plotly/Dash), Docker, Google Cloud Run.

Build Real-World Projects

Automate email data extraction, generate AI reports, analyze customer feedback, build interactive dashboards, and more.

Automate Your Google Workspace

Become proficient in Google Apps Script for Sheets, Docs, Gmail, Drive, and Calendar automation.

Harness AI for Insights

Learn prompt engineering, leverage LLMs for data tagging, summarization, text enhancement, and generating synthetic data.

Deploy Cloud Solutions

Gain experience deploying web applications on Google Cloud Platform, including cost management.

Expert-Led Curriculum

Learn from Alfred Garrett's practical techniques and real-world insights.

Personalized Support

Weekly group office hours, plus optional 1-on-1 coaching (Premium tier).

Designed for Working Professionals

Convenient live online evening sessions (Pacific Time).

Accelerated Curriculum Overview (8 Weeks)

Module 1: Python Essentials in Google Colab: Master Python fundamentals, data structures, basic Pandas, and API interaction (requests, JSON) in Google Colab.
Module 2: Google Apps Script Deep Dive: Learn JavaScript basics within GAS, automate Google Workspace apps, and understand triggers.

Module 3: AI-Powered Workspace: Integrate Generative AI (Gemini API) into Google Workspace for automated tasks.
Module 4: Building AI Analysis Pipelines: Fetch external data (e.g., Yelp API), apply LLMs for tagging/analysis (Prompt Engineering), generate synthetic data.
Module 5: Interactive Visualization: Create dynamic dashboards using Plotly & Dash.
Module 6: Cloud Deployment & Management: Package with Docker, deploy to Google Cloud Run, learn GCP Billing Alerts.

Learning Format & Schedule

Format: Live Online Sessions (Zoom/Google Meet), Hands-on Labs, Real-World Projects, Community Forum/Slack.

Live Sessions: Tuesdays, Wednesdays, & Thursdays, 6:00 PM - 8:30 PM Pacific Time (Recordings available).

Weekly Group Office Hours: Optional drop-in session for Q&A (1 hour/week).

Duration & Time Commitment

Duration: 8 Weeks (Approximately 2 Months)

Commitment: ~12-17+ hours per week (7.5 hrs live sessions, 1 hr optional office hours, 4-9+ hrs independent study/projects).

About the Instructor

Led by Alfred Garrett, a seasoned Business Analyst with 8+ years experience with deep expertise in Python, Data Analytics, AI implementation (ChatGPT API, Gemini), and Google Workspace automation. This curriculum draws directly from his practical experience and insights shared across numerous well-received technical articles on LinkedIn.