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LMS

Generative AI for Academicians

Course Bootcamp

This intensive hands-on bootcamp equips university faculty with practical expertise in generative AI and AI agents to enhance teaching, research, and academic productivity. Participants will learn to create AI-powered content, automate workflows, and design intelligent academic assistants, while critically addressing ethical considerations and adopting responsible AI practices in modern higher education.

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Duration

24 hours

Session Days

Weekdays
Weekends

Course Delivery

Classroom
Live Remote

Target Audience

Students, Professionals

Level

Foundation to Intermediate

Cost

USD 99

* For corporate group training rates contact helpline

Bootcamp Features

  • Designed specifically for university faculty needs
  • Delivered by experienced & certified instructors
  • Balanced teaching, research, and productivity applications
  • Exposure to modern AI frameworks and APIs.
  • Skill based Curriculum
  • Project-based Learning
  • Certificate of completion
  • Focus on practical hands-on with real-world example cases
  • Integration of Generative AI + AI Agents (future-ready)
  • Practical exercises on teaching, research, and automation
  • Step-by-step faculty-focused AI adoption strategies
  • Mentorship from industry professionals
  • Mock examinations and quizzes
  • Very high student satisfaction
Learning Generative AI empowers academicians to enhance teaching, research, and productivity. It enables creation of personalized learning materials, automated assessments, and innovative content delivery. Academicians can accelerate research through data analysis and idea generation while fostering critical AI literacy among students. Embracing Generative AI ensures relevance, efficiency, and leadership in modern, technology-driven education environments.

Why to Learn Generative AI for Faculty?

AI-powered Tools widely used in Academia

Boost productivity using AI-assisted  tools

Increase employability in AI-Enabled roles

Future-proof your academic career

Stay relevant in evolving Educational Landscape

Strengthen digital teaching competencies

Enhance lecture quality and content delivery

Improve research productivity with AI tools

Build AI-powered teaching assistants

Automate repetitive academic tasks efficiently

Save time in grading and feedback

Improve student engagement using AI

What Skills Will You Learn?

  • Generative AI expertise
  • AI agent fundamentals
  • Prompt engineering (basic to advanced)
  • AI-assisted lesson planning
  • Academic content generation
  • AI-powered research assistance
  • Workflow automation using AI agents
  • Building AI teaching assistants
  • Personalized learning design
  • AI-based assessment and grading
  • Multimedia content creation using AI
  • AI tool integration and evaluation
  • Academic productivity optimization
  • Multi-agent system concepts
  • AI
  • Ethical AI decision-making

Who is this Course For?

  • University Faculty
  • Academic administrators
  • Curriculum designers
  • Instructional designers
  • Educational technologists
  • Teaching assistants

Curriculum

Topics Practical Work Tools & Technologies
▸ Overview of AI, ML, and Generative AI ▸ Introduction to AI Agents: concepts, architecture, and workflows ▸ AI tools vs AI agents (key differences) ▸ Applications in higher education ▸ Explore generative AI tools for teaching tasks ▸ Demonstrate a simple AI agent workflow ▸ ChatGPT ▸ Google Gemini ▸ AutoGPT (demo)
Topics Practical Work Tools & Technologies
▸ Prompt engineering fundamentals ▸ Types of prompts: zero-shot, few-shot, role-based ▸ Prompt frameworks (CLEAR, CO-STAR) ▸ Prompting for agent-based workflows ▸ Avoiding hallucinations and improving output quality ▸ Design prompts for lecture notes, quizzes, and grading ▸ Create structured prompts for AI assistants ▸ ChatGPT ▸ Prompt templates ▸ AI playgrounds
Topics Practical Work Tools & Technologies
▸ AI-assisted lesson planning ▸ AI teaching assistants (chatbots for students) ▸ Personalized learning with AI ▸ AI-based assessments and feedback ▸ AI for flipped classrooms ▸ Practical / Lab Work: ▸ Develop a lesson plan using AI ▸ Build a simple AI chatbot for a course ▸ ChatGPT ▸ Dialogflow / Botpress ▸ Quizlet AI ▸ Canva AI
Topics Practical Work Tools & Technologies
▸ AI-assisted literature review ▸ Research summarization and drafting ▸ AI research assistants (agent workflows) ▸ Citation and referencing tools ▸ Ethical issues (plagiarism, authorship) ▸ Summarize a research paper ▸ Generate a research abstract and outline ▸ ResearchRabbit ▸ Zotero ▸ ChatGPT
Topics Practical Work Tools & Technologies
▸ AI-generated images and infographics ▸ Video and presentation generation ▸ Audio narration and voice synthesis ▸ Interactive learning content ▸ Create AI-generated lecture slides ▸ Develop a short explainer video ▸ DALL·E ▸ Canva AI ▸ Synthesia ▸ Tome AI
Topics Practical Work Tools & Technologies
▸ Workflow automation using AI agents ▸ Task decomposition and execution ▸ Multi-step academic automation ▸ Introduction to multi-agent systems ▸ Build an automated grading assistant ▸ Automate email or feedback workflow ▸ Zapier ▸ Make (Integromat) ▸ AutoGPT ▸ LangChain (intro/demo)
Topics Practical Work Tools & Technologies
▸ Bias and fairness in AI ▸ Responsible AI use in academia ▸ Data privacy and governance ▸ Risks of autonomous AI agents ▸ Analyze AI-generated biased outputs ▸ Evaluate ethical scenarios ▸ UNESCO AI Guidelines ▸ AI ethics frameworks
Project Tasks Tools & Technologies
▸Design and implementation of an AI-driven academic solution with an integration of AI tools and workflows Participants will develop one of the following: ▸ AI Teaching Assistant ▸ Research Assistant Agent ▸ Automated Grading System ▸ Any combination of tools used in course

Bootcamp Types

Weekend Intensive
  • Session Days:
    3 Full Days
  • Session Length:
    8 hours per day
  • Course Duration:
    3 Days
  • Total Contact Hours:
    24 hours
Weekday Regular
  • Session Days:
    Every Monday, Tuesday, Wednesday
  • Session Length:
    2 hours per day
  • Course Duration:
    40 weeks
  • Total Contact Hours:
    24 hours
Weekend Regular
  • Session Days:
    Every Saturday, Sunday
  • Session Length:
    3 hours per day
  • Course Duration:
    4 weeks
  • Total Contact Hours:
    24 hours

Upcoming Bootcamps

  • Bootcamp ID: A
  • Bootcamp Type: Weekend Regular
  • Class Days: Saturday, Sunday
  • Timing: 9:00am - 12:00pm UTC
  • Start Date: Mar 21, 2026
  • End Date: Apr 26, 2026
  • Registration Early Bird: Mar 6, 2026
  • Registration Deadline: Mar 15, 2026
  • Location: Online Live Class
  • Training Fee (Early Bird): USD 99
  • Training Fee (Regular): USD 99
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