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Faculty Development Program (FDP) on AI, Generative AI & Agentic AI

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Faculty Development Program (FDP) on AI, Generative AI & Agentic AI

Kalpra Academy presents an intensive 5-Day Faculty Development Program (FDP) specially designed for faculty members of engineering, computer science, and IT departments across India. This workshop empowers educators with the latest tools, methods, and best practices in Artificial Intelligence, Generative AI, and Agentic AI. Delivered in a 100% hands-on format, participants will build real-world applications and walk away with a professional teaching and research portfolio.

đź“… Program Duration: 5 Days (30 Hours)

Format: Fully Hands-On | Capstone Projects: 3 Major Projects + Final Portfolio

  • Data Engineering Fundamentals: Data ingestion, ETL pipelines, APIs, and database handling
  • Data Cleaning, Pre-processing, and Quality Assessment
  • Exploratory Data Analysis (EDA) and Hypothesis Testing
  • Feature Engineering and Data Visualization
  • Hands-on Project: Real-time data pipeline + full EDA report
  • Supervised Learning: Regression, Classification, Model Selection
  • Cross-Validation and Hyperparameter Tuning
  • Unsupervised Learning: Clustering (K-Means, DBSCAN), PCA, t-SNE
  • Anomaly Detection and Pattern Recognition
  • Projects: Predictive ML model + Customer Segmentation
  • Transformer Architecture: Understanding GPT, BERT, Claude
  • Prompt Engineering Basics and Fine-Tuning Overview
  • Multimodal AI: Text-to-Image (DALL·E), Audio Generation, Cross-Modal Embeddings
  • Projects: Text Generation App + Multimodal Content Tool
  • Retrieval-Augmented Generation (RAG) with Vector DBs
  • Document Chunking and Semantic Search
  • Conversational AI and AI Assistants
  • Function Calling and Tool Use in LLMs
  • Projects: Document Q&A System + Custom AI Assistant
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  • Choose from 6 Capstone Project Tracks
  • Project Planning, Integration, Code Reviews
  • GitHub Portfolio Development & Demo Prep
  • Blogging, Technical Writing & Networking Guidance

Participants will receive a certificate of completion, mentoring support, access to all training materials, and the opportunity to become future trainers for Kalpra Academy initiatives. This FDP is ideal for faculty aiming to modernize curriculum delivery and research orientation in line with NEP 2020 and global AI trends.

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Frequently Asked Question

AI in data science automates complex tasks like pattern recognition and predictive modeling. Machine learning algorithms analyze vast datasets to uncover insights, make predictions, and optimize decision-making. AI enhances data processing efficiency, enables advanced analytics, and supports data-driven decision-making, revolutionizing the field of data science.

In general programming, we have the data and the logic by using these two we create the answers. But in machine learning, we have the data and the answers and we let the machine learn the logic from them so, that the same logic can be used to answer the questions which will be faced in the future. Also, there are times when writing logic in codes is not possible so, at those times machine learning becomes a saviour and learns the logic itself

"With our data science course, you'll master essential skills in Python, power BI and machine learning. Analyse data, create insightful visualizations, and apply statistical techniques. Gain hands-on experience with real-world projects, fostering critical problem-solving skills. Acquire the knowledge to excel in diverse data-driven roles and drive innovation in any industry.

Python is known for its simplicity, readability, and versatility. It supports object-oriented, imperative, and functional programming styles. Its extensive standard library facilitates diverse tasks. Dynamic typing and automatic memory management enhance development speed. Python is widely used for web development, data science, machine learning, and automation.

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