Day 1: Foundations – Introducing AI, Automation, AI Agents, and the Job Search Process

Day 1 builds essential foundational knowledge by introducing core AI concepts, agentic systems, and structured job-search methodologies so participants can immediately see how AI transforms a traditionally chaotic process into a strategic, repeatable system.

Segment 1: Introduction to Artificial Intelligence in Job Search

This segment delivers a high-level overview of generative AI’s evolution and its proven impact on hiring, combined with a live basic-prompting demo that lets every participant experience instant value.

  • Overview of AI vs. traditional job-search tools
  • Evolution and capabilities of generative AI (GenAI)
  • Real-world statistics (87 % of companies now use AI in hiring)
  • Live demo: crafting effective self-assessment prompts

Segment 2: Concepts of Automation and AI Agents

This segment clearly differentiates rule-based automation from intelligent AI agents and demonstrates how agentic workflows can autonomously handle multi-step job-search tasks.

  • Rule-based automation vs. perception-reasoning-action AI agents
  • Single-agent vs. multi-agent systems (e.g., CrewAI-style or no-code Zapier/Make.com)
  • Real job-search agent examples (scrape alerts → analyze JD → draft outreach)
  • Live demo: building a simple custom GPT or conversational agent
  • Ethical considerations and current limitations

Segment 3: The Job Search Process and Methodologies

This segment contrasts traditional “spray-and-pray” approaches with AI-enhanced, goal-aligned frameworks and maps a clear phased execution model.

  • Traditional vs. targeted networking methodologies
  • AI-enhanced framework: goal alignment → skills mapping → phased execution
  • Step-by-step process from Meta’s Job Search with GenAI
  • Common pitfalls and how AI eliminates them
  • Group discussion on personal application

Segment 4: Interactive Exercise & Wrap

This closing segment lets participants apply the day’s concepts immediately and prepares them for the next day’s hands-on work.

  • AI-powered transferable-skills discovery exercise
  • Drafting a one-paragraph career identity statement
  • Q&A and targeted homework assignment

Day 2 focuses on creating recruiter-ready personal branding materials and teaching participants exactly how to optimize every document to survive and thrive inside AI shortlisting systems used by 87 % of employers in 2026.

Segment 1: AI-Made CVs and Resumes

This segment provides an end-to-end, prompt-engineered workflow for building or optimizing ATS-friendly resumes and cover letters in minutes.

  • Prompt engineering for every resume section (objective, achievements, education)
  • ATS-friendly formatting rules and keyword strategies
  • Live hands-on tailoring using real job descriptions
  • Tool comparison (ChatGPT, Claude, Gemini) and best practices from Udemy & LinkedIn Learning
  • Ready-to-use templates and prompt library

Segment 2: What Recruiters Want

This segment distills current recruiter priorities and decision-making criteria so participants can align their documents with what actually moves the needle.

  • Quantifiable achievements over duties
  • Keyword relevance combined with genuine context
  • Cultural-fit signals and brevity (1–2 pages)
  • Clean design and storytelling principles
  • Synthesized insights from recruiter panels in analyzed courses

Segment 3: AI Shortlistings by Recruiters and Optimization Strategies

This segment demystifies how modern ATS and semantic-matching AI systems work and equips participants with precise tactics to beat them.

  • How semantic matching (not just keywords) functions in 2026
  • Key statistics: 75 % of resumes never reach humans, 6–7 second initial scan
  • Optimization techniques: mirroring language, natural phrasing, structure for parsing
  • Live demo: analyzing a JD and optimizing a resume segment
  • Free ATS-scanner testing method

Segment 4: Practice, Peer Feedback & Wrap

  • Live tailoring exercise on personal documents
  • Structured peer-feedback protocol
  • Full optimization of one target resume/cover letter (homework)

Day 3 shifts from document creation to high-volume, automated execution, teaching participants how to run a metrics-driven, AI-augmented campaign that consistently generates more interviews with less manual effort.

Segment 1: Automated Job Search

This segment reveals how to discover both visible and hidden opportunities using semantic alerts and intelligent research agents.

  • AI-powered job aggregators and semantic LinkedIn/Indeed alerts
  • Hidden job-market discovery techniques
  • Automated company and culture-fit research
  • Ethical boundaries when using automation

Segment 2: Automated Applications, Scaling, and Numbers

This segment shows exactly how to scale personalized applications safely while tracking the numbers that matter for success in 2026.

  • Realistic benchmarks (32–200+ applications needed for one offer)
  • No-code automation workflows (Sheets + AI trackers)
  • Bulk personalization without spamming
  • Key metrics: response rate, time-to-interview, A/B testing
  • Google Coursera-inspired application tracker template

Segment 3: Advanced Integration – LinkedIn, Networking, Interviews, and Beyond

This segment integrates AI across the full candidate journey, from profile optimization to final negotiation.

  • LinkedIn profile, posts, and outreach automation
  • Networking message generation and interview prep with Gemini Live
  • STAR-method mock sessions and common-question libraries
  • Post-interview thank-yous and negotiation scripts
  • Emerging 2026 trends in recruiter-side AI agents

Segment 4: Workshop Wrap-Up and Personal Action Plan

This final segment consolidates all three days into a concrete 30-day execution plan and provides ongoing resources.

  • Creation of a personalized 30-day AI-powered job-search plan
  • Group reflections and resource sharing (full prompt library, tool list)
  • Certificate of completion and post-workshop support details
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