The AI & Data Analytics Trainer will deliver practical, industry-relevant training that equips learners with foundational and applied skills in data analytics, artificial intelligence and generative AI. The trainer will facilitate classroom and lab sessions, assess learner performance, provide mentoring and prepare learners for relevant entry-level employment and further learning opportunities.
Key Responsibilities
Training Delivery
Deliver classroom, virtual and lab-based training according to the approved curriculum and session plans.
Train learners in data collection, data cleaning, exploratory analysis, visualisation and interpretation.
Deliver foundational concepts in artificial intelligence, machine learning and generative AI.
Teach relevant tools and technologies, which may include:
Microsoft Excel and advanced spreadsheet functions
SQL and relational databases
Python for data analysis
Pandas, NumPy and basic statistical libraries
Power BI or Tableau
Jupyter Notebook or Google Colab
Generative AI and productivity tools
Explain statistics, data structures,



algorithms and machine-learning concepts at a level appropriate to the learners.
Demonstrate the use of AI tools for research, analysis, content development, coding assistance and workplace productivity.
Use practical exercises, case studies, projects, demonstrations and problem-solving activities.
Adapt delivery methods for learners with different educational backgrounds and levels of digital proficiency.
Provide remedial and additional support to learners who require assistance.
Practical Projects and Labs
Guide learners through end-to-end data-analysis projects using realistic datasets.
Support learners in developing dashboards, reports, presentations and analytical portfolios.
Conduct coding exercises and supervised lab sessions.
Help learners translate business questions into appropriate analytical approaches.
Review learner code, queries, dashboards and project documentation.
Encourage learners to comm

📌 Trainer (India)
🏢 Niit Foundation
📍 India