AI Driven Skill Assessment and Training Video Workflow

Adaptive Skill Assessment and Training Videos

1. Initial Assessment

1.1 Define Skill Requirements

Identify the specific skills and competencies required for various roles within the manufacturing and industrial sectors.

1.2 Utilize AI for Skill Gap Analysis

Implement AI-driven tools such as IBM Watson or Skillsoft to analyze employee skill levels against defined requirements.

2. Content Development

2.1 Create Training Videos

Develop training videos using AI video tools like Veed.io or Descript to produce high-quality, engaging content tailored to skill gaps identified in the assessment phase.

2.2 Integrate Interactive Elements

Incorporate interactive elements using platforms like Articulate 360 or Adobe Captivate to enhance learner engagement and retention.

3. Implementation of Training

3.1 Deploy Training Videos

Utilize a Learning Management System (LMS) such as TalentLMS or Docebo to distribute training videos to employees based on their specific skill gaps.

3.2 Monitor Progress with AI Analytics

Leverage AI analytics tools like Tableau or Microsoft Power BI to track employee progress and engagement with training materials.

4. Feedback and Adaptation

4.1 Collect Feedback

Gather feedback from employees regarding the effectiveness of training videos through surveys and assessments.

4.2 Adapt Training Content

Use AI tools such as Google Cloud AutoML to analyze feedback data and continuously improve training content based on learner needs.

5. Continuous Improvement

5.1 Regular Skill Assessments

Conduct regular skill assessments using AI-driven platforms to ensure employees’ skills remain aligned with industry standards and technological advancements.

5.2 Update Training Materials

Regularly update training videos and materials based on new technologies, processes, or changes in industry standards, utilizing AI tools to streamline the content creation process.