Ai & Data Analytics Trainer

Overview

Experience Required

Training Delivery

• Deliver engaging classroom, online, and hybrid training sessions.
• Conduct practical workshops, bootcamps, and project-based learning activities.
• Explain technical concepts in a simplified and industry-relevant manner.
• Prepare learners for professional certifications and career opportunities.
• Assess student performance through assignments, quizzes, case studies, and capstone projects.
• Facilitate hands-on learning using real-world datasets and business scenarios.
• Curriculum Development
• Design and update course materials aligned with current industry trends.
• Develop lab exercises, case studies, projects, and assessments.
• Create learning pathways for beginners, intermediate learners, and advanced professionals.
• Continuously improve training materials to include emerging AI and analytics technologies.
• Technical Mentorship
• Guide learners in developing analytics dashboards, machine learning models, and AI-powered solutions.
• Support students in portfolio building and capstone project development.
• Provide career guidance and technical mentoring.
• Assist learners in preparing for industry certifications and job interviews.
• Corporate Training
• Deliver customized AI and Data Analytics training programs for corporate clients.
• Conduct workshops on AI productivity tools and business intelligence applications.
• Support organizations in adopting AI-driven decision-making and analytics solutions.

• Research & Innovation

• Stay updated with developments in Artificial Intelligence, Machine Learning, Generative AI, and Data Analytics.
• Evaluate emerging technologies and integrate them into training programs.
• Contribute to webinars, seminars, workshops, and technology events.

• Microsoft Excel (Advanced)

• Power BI
• Tableau
• SQL
• Data Visualization

• KPI Dashboard Development

• Data Storytelling
• Data Cleaning and Transformation
• ETL Concepts

• Artificial Intelligence & Generative AI

• ChatGPT
• OpenAI Tools and Applications
• Prompt Engineering

• Generative AI Applications

• AI for Business Automation
• AI Assistants and Workflows

• AI-powered Content Generation

• AI Ethics and Responsible AI

• Programming & Data Science

• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-Learn
• Jupyter Notebook

• Machine Learning Fundamentals

• Data Preprocessing
• Predictive Analytics
• Machine Learning
• Supervised Learning
• Unsupervised Learning
• Classification
• Regression
• Clustering
• Model Evaluation
• Feature Engineering
• Introduction to Deep Learning

• Database & Data Management

• SQL Server
• MySQL
• PostgreSQL

• Data Warehousing Concepts

• Business Applications
• AI for Business Productivity
• Process Automation

• Business Process Improvement

• Analytics for Decision Making
• Forecasting and Trend Analysis
• Customer Analytics
• Marketing Analytics

• Microsoft Azure AI Fundamentals

• Microsoft Fabric

Qualifications

• Bachelor's or Master's Degree in Data Science, Data Analytics, Artificial Intelligence, Computer Science, Information Technology, Statistics, Engineering, or a related field.
• Professional certifications in Data Analytics, AI, Machine Learning, Power BI, Python, Cloud Computing, or Business Intelligence are preferred.
• Strong portfolio of analytics projects, AI applications, or training programs delivered.

Essential Skills

• Excellent presentation and communication skills.
• Strong classroom management and learner engagement abilities.
• Ability to teach both technical and non-technical audiences.
• Strong mentoring and coaching capabilities.
• Practical industry-oriented approach to training.
• Passion for continuous learning and technology adoption.
• Ability to simplify complex concepts into actionable learning experiences.

What We Offer

• Competitive salary package.
• Opportunity to work with a growing technology and training institute.
• Exposure to corporate training, academic programs, and professional development initiatives.
• Career growth opportunities in AI, Data Analytics, and Educational Leadership.
• Collaborative and innovative work environment.

How To Apply