Overview

The AI Literacy Specialization Program is one-of-a-kind hierarchical & cognitive skills based curriculum that teaches artificial intelligence (AI) based on a scientific framework broken down into four levels of cognitive skills.Part 2: Use & Apply combines the below two cognitive skills -Using (practicing AI concepts in realistic environments)Applying (adapting AI knowledge to solve real-world problems)This part of the program emphasizes practical implementation and hands-on skill-building through structured exercises and applied use cases. It includes 3 core competencies, each supported by detailed performance indicators, totaling 20. These are designed to ensure learners are able to confidently navigate and apply AI technologies in varied contexts.Competency Overview1) Traditional AIThis competency focuses on foundational AI methods developed before the deep learning era and includes core machine learning approaches. Learners will understand the end-to-end AI workflow and the different layers involved in building traditional AI systems.Performance Indicators:Understanding the AI Technology StackApplication Layer: User interface and business application logicModel Layer: Machine learning algorithms and training logicInfrastructure Layer: Cloud platforms, hardware accelerators, and deployment toolsCommon Components: Data pipelines, model monitoring, and governanceChoosing the Right Tech Stack for Business Use CasesEnd to end Use Cases:Credit Card Default PredictionHousing Price PredictionSegmentation for Online RetailNLP Based Resume to JD MatcherCV Based Car Type Detection2) Generative AIThis competency introduces learners to cutting-edge generative AI tools and techniques, including how large language models (LLMs) and diffusion models are built and adapted. The focus is on responsible usage, design of prompts, and system integration.Performance Indicators:Understanding the Generative AI Technology StackPrompt Engineering (PE) - Basics (Prompt types, templates, prompt chaining)Resume Customizer ToolIdeation with ChatGPTDesign using GammaBuild and Deploy using LovableMarket with HubSpotMaintain with Gemini for SheetsPrompt Engineering - Advanced (Context management, few-shot prompting, evaluation)Resume Customizer Tool using APIRetrieval-Augmented Generation (RAG) - Using external knowledge with LLMsRAG Based Resume to JD MatcherFine-tuning - Customizing pre-trained models for specific enterprise or domain needs3) Agentic AIThis competency focuses on the emerging paradigm of AI agents - systems that can reason, plan, and act autonomously within defined boundaries. It helps learners understand how to orchestrate multi-step tasks using AI tools.Performance Indicators:Understanding the Agentic AI ArchitectureVibe Coding 101No Code Agent BuildersAI News Summarizer:Using ChatGPT UI & CustomGPT BuilderUsing ReplitUsing n8nCode Based Agentic AICredit Card Default Prediction using CursorAgentic AI in the WorkplaceBy completing Part 2 of the AI Literacy Specialization Program, participants will:Gain practical experience in building and deploying AI models across different domainsBe equipped to select and apply the right AI techniques for specific business problemsUnderstand the technical and ethical dimensions of applying both traditional and generative AIBe capable of designing AI workflows and interfacing with technical teams confidentlyBuild readiness to transition into advanced AI roles or contribute meaningfully to AI projects in non-technical roles

Skills

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