Advanced Learning

AI 201
Advanced Skills

Go beyond the basics. Build AI agents, automate workflows, create custom applications, and master advanced prompting techniques. Become an AI power user.

AI Career Assistant

Ask questions about how to use AI in your specific role. Get personalized guidance and examples.

AI Career Coach

Online • Ready to help

👋 Hi! I'm your AI Career Coach. I can help you understand how to apply AI in your specific field.

Try asking me questions like:

  • "How can I use AI for email marketing campaigns?"
  • "What AI tools should a data analyst learn?"
  • "How can product managers use AI for user research?"

AI Implementation Frameworks

Structured approaches to implementing AI in your workflows. Start with these proven frameworks.

The AI-First Workflow

  1. Identify Repetitive Tasks: List tasks you do daily/weekly that follow patterns
  2. Map to AI Capabilities: Match tasks to AI strengths (generation, analysis, summarization)
  3. Create Templates: Build reusable prompts/workflows for common scenarios
  4. Iterate & Refine: Test, measure impact, and improve continuously

The 80/20 AI Strategy

  1. Start with Quick Wins: Focus on tasks where AI delivers 80% of value in 20% of time
  2. Automate First Drafts: Use AI for initial versions, then refine manually
  3. Scale What Works: Once proven, expand to similar tasks across team/department
  4. Measure ROI: Track time saved, quality improvements, and business impact

AI-Assisted Analysis

  1. Data Collection: Use AI to gather and organize information from multiple sources
  2. Pattern Recognition: Let AI identify trends, anomalies, and insights you might miss
  3. Hypothesis Generation: AI suggests possible explanations and next steps
  4. Human Validation: You verify, refine, and act on AI-discovered insights

AI Content Pipeline

  1. Ideation: AI generates topic ideas and angles based on audience/purpose
  2. Outlining: Create comprehensive structure with AI assistance
  3. Drafting: AI produces first draft from outline and brief
  4. Enhancement: You add expertise, personality, and brand voice
  5. Optimization: AI suggests improvements for clarity, SEO, and engagement

Real-World Case Studies

See how professionals are using AI to transform their work. Learn from their strategies and results.

Challenge: Email marketing team spending 20+ hours per week on campaign creation, low engagement rates (12% open, 2% click-through)

AI Solution:

  • Used ChatGPT to generate 30+ subject line variations per campaign
  • Implemented dynamic content blocks using HubSpot AI based on subscriber behavior
  • Automated personalized product recommendations using AI analysis of purchase history
  • Created A/B testing matrix with AI-generated variations

Results: 340% increase in open rates (12% → 41%), 560% increase in click-through rates (2% → 11.2%), 15 hours saved per week

Tools Used: ChatGPT, HubSpot AI, Zapier

Challenge: Data analyst spending 2-3 days weekly creating executive dashboards and narrative summaries

AI Solution:

  • Built SQL query templates using Claude for common report needs
  • Created automated pipeline: Data extraction → AI analysis → Narrative generation
  • Used ChatGPT to write executive summaries from raw metrics
  • Integrated AI insights directly into Tableau dashboards

Results: Report creation time reduced from 16 hours to 1.5 hours (90% reduction), insights surfaced that were previously missed

Tools Used: Claude, ChatGPT, Python + OpenAI API, Tableau

Challenge: Product team conducting 20+ user interviews monthly, taking 2-3 weeks to synthesize insights into actionable PRDs

AI Solution:

  • Uploaded interview transcripts to Claude for instant theme extraction
  • Used AI to generate user personas based on interview patterns
  • Created PRD templates that AI could populate from research findings
  • Automated competitive analysis by feeding AI competitor reviews and features

Results: Research-to-PRD timeline reduced from 3 weeks to 3 days, more comprehensive insights captured

Tools Used: Claude, Otter.ai (transcription), ChatGPT

Challenge: Content team producing 4 blog posts monthly, struggling with ideation and first drafts

AI Solution:

  • Used ChatGPT for topic ideation based on SEO data and audience interests
  • Created comprehensive outlines, then expanded to full drafts
  • Implemented AI-assisted editing for clarity and SEO optimization
  • Generated social media variations for each blog post

Results: Output increased from 4 to 20 posts monthly, SEO performance improved 45%, time per post reduced by 60%

Tools Used: ChatGPT, Surfer SEO, Grammarly AI

AI Use Cases By Role

Practical examples of how AI can transform work in your field.

  • Campaign Creation: Use AI to generate ad copy variations, A/B test ideas, and creative concepts
  • Audience Segmentation: Leverage AI for predictive analytics and customer clustering
  • Content Calendar: Generate content ideas and scheduling recommendations
  • Performance Analysis: Use AI to identify patterns in campaign data and suggest optimizations
  • Personalization: Create dynamic content that adapts to user behavior
  • First Drafts: Use AI to overcome writer's block and generate initial drafts
  • Headline Variations: Generate dozens of headline options for testing
  • Tone Adaptation: Rewrite content for different audiences or channels
  • SEO Optimization: Get AI suggestions for keywords and content structure
  • Editing & Proofreading: Use AI for grammar, clarity, and style improvements
  • Data Cleaning: Use AI to identify and fix data quality issues
  • Code Generation: Generate Python/SQL code from natural language descriptions
  • Insight Discovery: Let AI surface hidden patterns in your data
  • Report Writing: Automatically generate narrative summaries from data
  • Predictive Models: Build forecasting models with AI assistance
  • Subject Line Testing: Generate and test multiple subject line variations
  • Personalization at Scale: Create dynamic content blocks for different segments
  • Send Time Optimization: Use AI to predict optimal send times per recipient
  • Journey Mapping: Design automated customer journeys with AI suggestions
  • Win-Back Campaigns: Identify at-risk customers and generate re-engagement content
  • User Research: Analyze survey responses and interview transcripts with AI
  • PRD Writing: Generate product requirement documents from feature ideas
  • Competitive Analysis: Use AI to summarize competitor features and positioning
  • Roadmap Planning: Get AI suggestions for feature prioritization
  • User Story Generation: Create detailed user stories and acceptance criteria

Ready-to-Use Prompt Templates

Copy these proven prompts and customize them for your needs. Start implementing AI workflows today.

Email Campaign Creator

"Create a 5-email onboarding sequence for [product/service] targeting [audience]. Each email should:
• Focus on a specific stage of the customer journey
• Include a clear CTA
• Be personalized based on [customer data points]
• Use [tone/style]
Generate subject lines and preview text for each."

Use with: ChatGPT, Claude, Jasper

Data Analysis Report

"Analyze this [dataset/metrics]. Provide:
• Key insights and patterns
• Anomalies or outliers worth investigating
• Actionable recommendations
• Executive summary (2 paragraphs)
• Detailed analysis with supporting data points"

Use with: Claude (can upload files), ChatGPT, NotebookLM

Customer Journey Mapping

"Design a comprehensive customer journey for [industry/company] from awareness to post-purchase. Include:
• Touchpoints at each stage
• Pain points and opportunities
• AI-powered solutions for each stage
• Specific tools and tactics
• Measurement KPIs"

Use with: ChatGPT, Claude

Content Strategy Generator

"Create a 30-day content calendar for [topic/industry] including:
• Blog post titles (SEO-optimized)
• Social media post ideas
• Email newsletter topics
• Video content concepts
• Content themes and messaging"

Use with: ChatGPT, Claude, Jasper

User Research Synthesis

"Analyze these [interview transcripts/survey responses]. Extract:
• Common themes and patterns
• Pain points prioritized by frequency
• User personas with key characteristics
• Feature requests and priorities
• Quotes that support insights"

Use with: Claude (best for analysis), ChatGPT

PRD Generator

"Create a Product Requirements Document for [feature/product] including:
• Problem statement and user needs
• Success metrics and KPIs
• Feature specifications
• User stories with acceptance criteria
• Technical considerations
• Go-to-market plan"

Use with: ChatGPT, Claude

Put Your Skills Into Practice

Now that you have advanced AI knowledge, it's time to apply it. Start with one use case, measure results, then expand. Explore our prompt library for ready-to-use templates, or check out AI apps built by our community.