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Generative AI and Prompt Engineering

Explore Generative AI models and prompt engineering techniques to create, automate, and optimize tasks using AI tools for productivity and application development.

This course is fully hands-on and industry-oriented, focusing on real-time applications of Generative AI, Large Language Models (LLMs), AI automation, and prompt optimization techniques. Students will gain practical exposure through live labs, mini projects, and a final capstone project aligned with real-world industry use cases

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Curriculum

Curriculum covers 80% hands-on session 20% concept explanation.

  • Module 1: Introduction to Generative AI & LLMs and Fundamentals of Prompt Engineering

    Theory:
    – Introduction to Artificial Intelligence vs Generative AI
    – Evolution of AI and LLMs
    – Applications of Generative AI in Industry
    – Overview of GPT, Copilot, and AI Models
    – What is Prompt Engineering?
    – Types of Prompts (Zero-shot, Few-shot, Chain-of-Thought)
    – Prompt Design Principles
    – Prompt Optimization Techniques
    Lab:
    – Exploring AI tools (ChatGPT, AI copilots)
    – Basic AI prompting exercises
    – AI for academic and research tasks
    – Writing structured prompts
    – Prompt comparison and tuning
    Use cases: Content, coding, and research prompts

  • Module 3: Generative AI for Programming & Development and Introduction of RAG

    Theory:
    – AI for software development
    – Code generation using AI
    – Debugging and optimization using AI tools
    – AI-assisted software lifecycle
    – What is RAG?
    – How RAG works with LLMs
    – Vector databases basics
    – Real-world RAG applications (Chatbots, Knowledge Assistants)
    Lab:
    – AI-based code generation (Python/Web)
    – Debugging code using AI
    – Building mini AI coding assistant
    – Building a basic RAG workflow
    – Document-based AI Q&A system
    – AI knowledge assistant using PDFs

  • Module 5: Project Development (Industry-Based), Completion, Presentation & Evaluation

    Capstone Project Title: AI-Powered Smart Knowledge Assistant using Generative AI & RAG
    Theory:
    – Project architecture planning
    – Dataset selection and workflow design
    – Industry problem statement discussion
    – Final project deployment
    – Project testing and optimization
    Lab:
    – Data collection and preprocessing
    – Prompt workflow design
    – Building AI assistant prototype
    – Student presentations & demo
    – Expert feedback and evaluation
    – Project Report
    – Presentation Deck
    – Certification Assessment

  • Module 2: Advanced Prompt Engineering Techniques and Generative AI for Content, Research & Productivity

    Theory:
    – Role prompting and system prompting
    – Prompt chaining and workflows
    – AI hallucination and mitigation
    – Prompt debugging strategies
    – AI in content generation
    – AI for documentation and academic writing
    – AI for presentations and reports
    – AI productivity tools in industry
    Lab:
    – Creating multi-step prompts
    – AI-based report and content generation
    – Prompt engineering for coding tasks
    – AI blog/article generation
    – AI PPT creation using prompts
    – Resume and research assistant using AI

  • Module 4: AI Agents & Automation using Generative AI and Ethical AI, Bias & Responsible AI Usage

    Theory:
    – Introduction to AI Agents
    – Agentic workflows and automation
    – AI copilots in business operations
    – Use cases in enterprises
    – AI ethics and governance
    – Bias in AI models
    – Data privacy and security
    – Responsible AI implementation in academia & industry
    Lab:
    – Creating AI automation workflows
    – AI agent for task automation
    – Business use-case simulation
    – Identifying biased AI outputs
    – Ethical prompt design
    – AI safety best practices

Capstone Projects

AI-Based Research Paper Summarizer & Academic Assistant

An AI assistant that can read research papers (PDFs) and generate summaries, key insights, and literature reviews using advanced prompts.

Industry Relevance
-Research Institutions
-Universities
-Academic Publishing*

capstone project electrocloudlabs

Unleash the Power

Outcomes

Participants will be equipped to design effective prompts, develop intelligent AI applications, implement advanced techniques such as RAG, and automate workflows using AI agents and copilots. The hands-on approach ensures that learners can confidently work with real datasets, modern AI tools, and industry-relevant frameworks.

faculty development program electrocloud labs hyderabad

Outcomes help you achieve your milestone!

Strong Foundation in Generative AI and LLMs

Develop a clear understanding of Generative AI concepts, Large Language Models (LLMs), and prompt engineering techniques to effectively interact with and utilize AI systems.

Practical Skills in AI Tools and Application Development

Gain hands-on experience in using AI tools for content creation, coding, automation, and building AI-powered applications using real-world datasets.

Expertise in Advanced AI Techniques and Automation

Learn to implement RAG (Retrieval-Augmented Generation), design AI agents and copilots, and automate workflows for real-time industry use cases.

Industry-Ready Project Development and Responsible AI Usage

Develop and deploy a capstone project, apply ethical AI practices, and leverage AI tools to enhance productivity across multiple domains.

Pre-requisites

The Generative AI and Prompt Engineering training is designed to be beginner-friendly, and no advanced technical background is required. However, having the following will help participants gain maximum benefit from the program:

– Basic exposure to Python or any programming language
– Awareness of Artificial Intelligence or Machine Learning concepts
– Interest in automation, content creation, or AI tools

Key Features

Our program is designed to deliver a comprehensive and practical learning experience through hands-on training, expert-led sessions, and industry-relevant content. Participants gain exposure to real-world applications, work on live projects, and receive certification that enhances their professional profile.

  • Hands-on Learning Experience

Gain practical exposure through interactive exercises, real-time labs, and project-based learning, ensuring strong implementation skills.

  • Industry-Relevant & Cutting-Edge Content

Curriculum designed around latest industry trends, tools, and emerging technologies, ensuring up-to-date and in-demand skills.

  • Certification & Career Value

Receive a recognized certification upon completion, adding value to your resume and enhancing career opportunities.

  • Expert-Led Training

Learn from industry professionals and subject matter experts with deep domain knowledge and real-world experience.

  • Real-World Applications & Projects

Work on practical use cases and real-world scenarios, enabling participants to apply concepts directly in academic and industry environments.

  • Customized Learning & Networking Opportunities

Content can be tailored to specific needs, while participants also get opportunities to connect with peers, experts, and industry professionals.

How to Get Started with us?

We follow a simple and structured process to help institutions seamlessly plan and organize workshops, FDPs, and training programs on their campus.

roadmap

Explore

Start by exploring our website to understand our program offerings, expertise, and technology domains.
You can review our workshops, faculty development programs, certifications, and industry-focused training initiatives.

Consult

Connect with our experts for a detailed consultation.
During this stage, we help you understand:

– Program structure and learning outcomes
– Technology options and relevance
– Duration, delivery modes, and customization possibilities

Understand & Customize

Based on your institution’s goals, student profile, and departmental requirements, our team will:

– Analyze your specific needs
– Recommend the most suitable program(s)
– Customize the curriculum, duration, and delivery format

Organize

Once finalized, you can proceed to organize the program at your campus by:

– Confirming dates and schedule
– Finalizing participant details
– Coordinating logistics with our team

We take care of end-to-end program delivery, including trainers, content, hands-on sessions, and certification.

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