AI Trainer - Univeristy

Following AI training modules need to be taken up at a university in Gurugram for the next 3-4 monhts.

Program details are as follows:-

UNIT I: Understanding AI and Responsible Use 10 Hours

• AI Fundamentals: Core concepts, evolution, and capabilities
• Understanding Generative AI: ChatGPT, Gemini, Claude, Perplexity AI
• Understanding of Large Language Models (LLMs) and Multimodal AI
• AI Ethics: Bias, transparency, misinformation, and digital footprint
• Academic integrity, authorship, and plagiarism in the AI era
• Institutional guidelines and case studies on responsible AI use

AI Tools Introduced for

· Text generation and exploration (ChatGPT, Perplexity AI)

· Ethical compliance and originality check (GPTZero)

Practical Activities

• Compare outputs from ChatGPT, Gemini, Claude, and Perplexity for a simple domain question.
• Short ethical case study on AI misuse (bias, plagiarism, misinformation).
• Reflection journal: “My Responsible AI Use Plan”

Meta Skills

· Critical Thinking & Ethical Reasoning – Evaluate AI outputs, identify bias, and ensure responsible usage.

· Reflective Practice – Assess personal AI use and its academic/professional impact.

Learning Outputs

• Reflective essay on Responsible AI in Academia
• Quiz on AI ethics, transparency, and digital responsibility

UNIT II: Practical AI for Productivity and Creativity 12 Hours

• Prompt Engineering and Creative Ideation
• AI for Academic and Professional Writing (reports, blogs, documentation)
• AI for Presentation and Design: text-to-image, image-to-video, slide generators
• Automation and productivity enhancement
• Using AI for visualization, organization, and workflow

AI Tools Introduced for

• Visual creativity (Canva)
• Video and animation creation (Pika Labs )
• AI-generated presentations (Gamma, pi.inc)

Practical Activities

• Design an AI-assisted digital story or presentation
• Prompt Lab: experiment with tone, style, and context shifts
• AI Productivity Sprint: use AI to plan and optimize a weekly schedule

Meta Skills

· Creativity & Innovation – Leverage AI for ideation, design, and content creation.

· Prompt Literacy – Craft effective prompts to guide AI outputs purposefully.

Learning Outputs

• AI-enhanced creative project (poster, short video, or design)
• Prompt Logs and Reflection Reports

UNIT III: AI for Research, Learning, and Professional Growth 10 Hours

• Using AI for research assistance: discovery, summarization, analysis
• AI in education: adaptive learning, personalized tutoring, assessment design
• AI applications:
• Tableau GPT, Power BI Copilot
• Perplexity, Elicit, ChatGPT for analysis and critique
• Midjourney, Leonardo.ai, Runway
• AI in employability: career tools, resume optimization, job market AI insights
• Building a personal AI toolkit and digital portfolio

AI Tools Introduced

• Research & citation (Research Rabbit )
• Data visualization and analysis (Power BI)
• Professional development (LinkedIn AI Career Coach)

Practical Activities

· Research Paper Discovery Task: Students use tools like Semantic Scholar or Research Rabbit to find 5 recent research papers on a chosen topic and map the citation network.

· AI Summarization Practice: Use Elicit or Scholarly to generate structured summaries (abstract, methods, limitations).

· AI-driven Literature Review Drafting: Students analyse a research theme using ChatGPT or Perplexity to generate a preliminary literature review outline.

Meta Skills

· Analytical Thinking & Synthesis – Evaluate, summarize, and integrate AI-generated research insights.

· Professional Self-Presentation – Build AI-assisted portfolios, resumes, and career documentation.

Learning Outcomes

· Use of AI tools to locate, filter, and evaluate high-quality research articles.

· Generate accurate summaries and extract key insights using AI-based research assistants.

· Demonstrate the ability to critically analyse AI-generated outputs and integrate them into academic writing responsibly.

UNIT IV: Data Analysis, Visualization & Storytelling 13 Hours

· Uploading & Analysing Data with AI - Data cleaning, exploration, classification

· Visualizing Data with AI - Charts, dashboards, patterns

· Data storytelling—insight writing, narrative frameworks, conclusions

AI Tools Introduced - Power BI / Tableau Public

· Data Analytics

· Data Visualisation

· Presentation & Storytelling

Practical Activities

· AI-Based Data Cleaning Task: Students upload a messy dataset to ChatGPT Data Analysis or Excel Copilot and perform missing-value handling, outlier detection, and normalization.

· Exploratory Data Analysis (EDA) with AI: Use ChatGPT Data Analysis to auto-generate EDA summaries: distributions, correlations, and descriptive statistics.

· AI-driven Classification Experiment: Students run a classification task (e.g., spam/ham, churn, sentiment) using AI tools and interpret model performance outputs.

Meta Skills

· Data Literacy & Quantitative Reasoning – Interpret AI-driven analysis and statistical outputs accurately.

· Narrative Construction & Decision-Making – Communicate insights effectively and derive actionable conclusions.

Learning Outcomes

· Perform AI-assisted data analysis by uploading, cleaning, and exploring datasets to identify key patterns and insights.

· Create effective visualizations using AI tools to transform data into meaningful charts, dashboards, and visual summaries.

· Communicate insights through data storytelling by crafting clear narratives, conclusions, and presentations using AI-supported design tools

CAPSTONE PROJECTS

Case Study Title

Domain

Problem Statement

1. Restaurant Menu Performance Analysis

Hotel Management

Identify the data inconsistencies and unify item categories to understand true menu performance.

• Visualize top-selling vs low-selling dishes

• Insight writing: Recommend menu redesign or pricing changes

2. Sales Dashboard Misinterpretation

Management

Identify data gaps and evaluate how they distort insights. Propose corrections and an accurate dashboard.

• Build a revised dashboard (line, bar charts)

• Storytelling: Explain true sales performance and conclusions

3. Crop Yield Visualization for Decision-Making

Agriculture

Analyze how inconsistent units affect agricultural decisions. Standardize data and generate correct visuals.

• Visualize yield across regions

• Write insights for selecting next season’s seeds

4. Cultural Survey Pattern Analysis

Liberal Arts

Evaluate the validity of AI-detected patterns and remove misleading correlations before forming conclusions.

• Create meaningful charts (genre preferences, reading time)

• Data story: Key cultural insights about reading habits

5. Social Media Engagement Insights

Mass Communication

Identify data contamination and rebuild accurate engagement insights.

• Visualize true engagement patterns

• Storytelling: Explain audience behaviour and content strategy

Job Type: Contractual / Temporary
Contract length: 12 weeks

Pay: ₹1.00 - ₹100.00 per month

Work Location: In person