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  • AI-Readiness

AI meets HI

for confidence and growth

The AI Readiness is a continuous learning ecosystem designed to help student, job seekers, professionals and career pivoters build AI fluency and readiness. It blends daily practice, strategic understanding, and deep hands-on implementation, anchored in community learning and peer exchange. The core philosophy is simple. AI adoption accelerates when people learn together, see real examples, and apply tools directly to their own workflows.

 

 

  • Peer-led Learning Circle

    Short, practical, peer-led learning moments

    These are lightweight, high-frequency sessions focused on normalizing AI usage in everyday work.

    Format

    • Daily or near-daily short sessions (15 to 30 minutes)
    • Informal and conversational
    • One or two people share how they used an AI tool that day or week

    What gets shared

    • AI tools used to save time, improve quality, or automate repetitive work
    • Before and after comparisons of workflows
    • Simple prompts, agents, or automations that actually worked
    • Lessons learned, including what did not work

    Who participates

    • Internal team members
    • Alumni of MR programs
    • Existing MR members
    • Volunteers
    • Selected external practitioners to keep perspectives fresh

    Outcome

    • Builds an AI-first mindset
    • Reduces fear and friction around AI adoption
    • Creates a shared vocabulary and comfort level with AI tools
    • Encourages experimentation over perfection
  • Info Sessions

    Strategic awareness and role-based understanding

    These sessions help participants understand how AI is reshaping roles, functions, and industries so they can prepare intentionally rather than reactively.

    Format

    • Expert-led information sessions
    • Typically 60 to 90 minutes
    • Interactive, with Q&A and practical examples

    Focus areas

    • How AI is being used across different job functions such as marketing, product, operations, HR, finance, and customer experience
    • The changing expectations of roles in an AI-enabled workplace
    • Skills that are becoming critical versus skills that are becoming automated
    • Responsible AI, ethics, and human-in-the-loop models
    • How organizations assess AI readiness at the team and function level

    Who leads these sessions

    • Industry practitioners actively using AI in their roles
    • Functional leaders and operators, not just theorists
    • Founders and builders of AI-first workflows and products

    Outcome

    • Helps participants understand where they stand in the AI transition
    • Creates clarity on upskilling priorities
    • Aligns individual learning with market and employer expectations
  • Deep-Dive Learning Cohorts

    Hands-on, outcome-driven implementation

    These cohorts are designed for participants who want to go beyond awareness and actively build AI-powered systems.

    Cohort 1: Job Search with AI Agents Cohort

    This cohort focuses on using AI agents to transform the job search process.

    What participants learn

    • Building AI agents for resume tailoring, role matching, and outreach
    • Automating job discovery and tracking
    • Using AI for interview preparation and negotiation scenarios
    • Creating a repeatable, scalable job search workflow

    Outcome

    • A working AI-powered job search system
    • Faster, more targeted applications
    • Increased confidence and clarity

    Cohort 2: AI-Powered Marketing Automation Cohort

    This new cohort focuses on automating the end-to-end marketing function using AI agents and workflows.

    What participants learn

    • Mapping the full marketing lifecycle from strategy to execution
    • Using AI agents for content creation, campaign planning, and optimization
    • Automating workflows such as lead generation, email sequences, social content, analytics, and reporting
    • Connecting tools and agents into a cohesive system rather than isolated use cases

    Outcome

    • A fully automated or semi-automated marketing engine
    • Clear understanding of where humans add the most value
    • Practical experience with agent-based workflows used in modern teams
  • How These Work Together

    Peer-led Learning Circle build habit and comfort

    Info Sessions build strategic understanding and direction

    Deep-Dive Cohorts build real, applied capability

    Together, they create a continuous learning loop where participants move from exposure, to understanding, to execution.