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AI Skills Launchpad Application

AI Skills Launchpad Application

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    About the Program

    This program is funded by Upskill Canada, powered by Palette Skills, and the Government of Canada. As part of Upskill Canada, we are tracking student outcomes with the goal of creating greater access to career opportunities. Therefore, you will be asked to provide some information about your professional and demographic background.

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    AI Skills Launchpad Eligibility Requirements

    1. Work Experience

    Applicants must have:

    • At least 3 years of cumulative work and/or volunteer experience:
      • Experience can be inside or outside Canada
      • Experience does not need to be consecutive
      • Experience must be outside of full or part-time studies (High School or Post-Secondary)
    • Work experience may be:
      • Paid or unpaid (volunteer)
      • Full-time (30+ hours/week) or part-time (less than 30 hours/week)

     

    2. Career Stage (Mid-Career Status)

    Applicants should be working adults who are:

    • Currently not employed in tech, clean tech, or advanced manufacturing, but want to transition into these sectors,
    • OR
    • Already working in these sectors but are under-employed and seeking:
      • Role expansion
      • Promotion opportunities
      • AI-focused upskilling

     

    3. Technical Background

    For all streams except SaaS Sales in the Age of AI, applicants must have a technical learning foundation, such as:

    • Software Development fundamentals,
    • OR
    • Equivalent technical coursework, training, or experience

     

    4. Readiness & Commitment

    Applicants must be able and willing to:

    • Participate in 8 weeks of synchronous online training (24 hours total)
    • Be available on weekday evenings or Saturday mornings
    • Attend weekly sessions and turn on their webcam
    • Complete all:
      • Course work
      • Group assignments
      • Assessments
    • Take part in employer-led case studies and project components
    • Complete follow-up surveys until October 2026

     

    5. Technical Requirements (Equipment)

    Applicants must have access to:

    • A computer or laptop with at least 16GB of RAM
    • A reliable internet connection suitable for video calls
    • A webcam and micophone to participate fully in online sessions

     

    6. Legal Eligibility to Work in Canada

    Applicants must:

    • Be legally eligible to work in Canada.
    • If on a work permit, have at least one year remaining on their permit after the program start date. (January 12)
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    This information will allow techNL to verify employment and education experience.
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    The Employment Equity Act defines visible minorities as "persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour, regardless of birthplace." The term "racialized" is broader and includes those who may experience differential treatment on the basis of race, ethnicity, language, economics, religion, culture, politics, etc.
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    Please provide the Job Title and Company
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    Please provide the Job Title and Company
    Please Select
    • Please Select
    • Permanent
    • Contract
    • Internship
    • Apprenticeship
    • N/A
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    Please provide up to two paragraphs describing your most recent role.
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    If you haven't completed any, simply write N/A
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    This will not be required for the "SaaS Sales in the Age of AI" Workshop
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    Course Descriptions


    AI For Data Engineering


    The AI for Data Engineering Workshop is a fully hands-on, end-to-end introduction to modern data engineering on AWS, guiding learners from foundational concepts to real cloud implementations. Over 12 weeks, participants move from core data fundamentals (ETL, ELT, batch and streaming) to building data pipelines for AI and machine learning applications, with exposure to AWS services including S3, Glue, Lambda, Athena, Redshift, EMR, RDS, DynamoDB, IAM, VPC, and serverless architectures.

     

    AI for Data Science and Analytics


     The AI for Data Science and Analytics course will not teach you data science or business analytics from the ground up. Instead, it will show you how to build AI agents that can perform those tasks effectively and accurately using state-of-the-art tools, along with evaluation workflows to iteratively improve your agents. By the end of the course, you'll have saved weeks of trial and error, gained clarity on what's possible today, learned which tools are best for different use cases, and be equipped to build custom agents and software long after the course is over.

     

    AI for Cybersecurity


    Learn the essentials of AI security in this hands-on course for developers. Through practical labs, you’ll learn to identify, exploit, and then fix critical vulnerabilities based on the OWASP Top 10 for LLMs—from prompt injection and data exfiltration to insecure tool integration. Beyond defense, the course shows you how to use AI as a security co-pilot to automate code reviews and speed up incident response, culminating in a capstone project where you harden a complete AI application end-to-end.

     

    SaaS Sales in the Age of AI

     

    Learn how to leverage AI to improve every stage of the sales process. You’ll understand how to accelerate sales by finding high-value leads, personalizing outreach, optimizing customer engagement, and streamlining CRM workflows.

    Skills you’ll build include sales, prospecting, customer success, CRM management, SaaS product lifecycle, and customer engagement.

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    Applicants are only able to apply for ONE workshop, since they will be running concurrently.
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    If you are applying to the "SaaS Sales in the Age of AI" workshop, disregard this question and select "N/A"
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    Please provide up to two paragraphs describing your interest in the selected workshop.
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    This does not guarantee you will be placed in the cohort you selected. If you are available for both cohorts, please select both. If you are only available for one cohort, only select that cohort.
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    Please provide up to two paragraphs outlining your career goals over the next 2-3 years, and how this training will support those goals.
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