Artificial Intelligence Courses

The 6-month Professional Certificate in Supply Chain Management, in collaboration with IIT Guwahati or IIT Indore, provides an in-depth exploration of modern supply chain topics. Learners engage in over 40 live sessions with faculty and industry experts, covering supply chain design and analytics. The course includes real-world projects and a 2-day campus immersion for practical exposure. Before You Learn / Who This Course Is For Ideal for professionals in supply chain roles No prerequisites required Suitable for those seeking advanced supply chain skills What to Expect 40+ live sessions with IIT faculty and experts Hands-on projects and real-world case studies Includes a 2-day campus immersion experience What You'll Achieve Professional Certificate from IIT Guwahati or IIT Indore Enhanced skills in supply chain design and analytics Practical knowledge applicable to supply chain management

Intellipaat's UI/UX Design Course, in collaboration with iHub DivyaSampark, IIT Roorkee, offers a comprehensive 4.5-month program. This instructor-led course combines over 100 hours of applied learning with more than 20 real-world projects. Learners gain expertise in user research, interaction design, usability testing, visual design, and Figma-based prototyping. Graduates receive a joint certification from IIT Roorkee and Intellipaat, blending academic rigor with hands-on experience. Before You Learn / Who This Course Is For Ideal for aspiring UI/UX designers Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Instructor-led, live sessions over 4.5 months 100+ hours of applied learning with projects Focus on Figma-based prototyping and usability testing What You'll Achieve Joint certification from IIT Roorkee and Intellipaat Mastery in user research and interaction design Enhanced career prospects in UI/UX design

AI for Educators is a practical, self-paced course that teaches teaching staff how to use generative AI in their own teaching and check that the marks and feedback it produces can be defended. Learners work out where AI fits in their teaching, learn which rules apply to them, and write prompts that work from their own rubrics and materials. The course is built around producing real deliverables, with each module yielding a file learners keep, and culminates in a complete teaching deliverable tested for whether the AI tool marks the same work the same way twice. Who This Course is For School teachers, college and university lecturers, instructors, and teaching support staff People who teach inside an education institution Not designed for corporate learning and development teams, who fall under different law What to Expect Self-paced, practical modules that each produce a file you keep Prompt writing based on your own rubric and teaching materials Consistency testing of whether AI marks the same work the same way twice What You'll Achieve A complete, tested deliverable: teaching unit, assessment and rubric, resource set, or feedback bank An AI opportunity list, tested prompt library, and teaching pack with tightened rubric A one-page AI policy for your department

AI for Finance is a self-paced course that teaches finance professionals to apply generative AI to everyday finance work while verifying every figure before it is relied upon. Learners identify where AI fits in their own role, write prompts that work from their own documents, extract figures from invoices, draft commentary, detect unusual entries, fix spreadsheets, and review which compliance rules and audit expectations apply to them. The course is practical and project-based, with each module producing a working file and culminating in a complete finance deliverable that is reconciled, checked, and signed off, with every number traced to a source document. Who This Course is For Controllers, management accountants, FP&A, AP/AR staff, and finance managers in ordinary companies Not designed for banks, insurers, or investment firms under separate regulatory rules Finance staff seeking practical, verifiable ways to use generative AI in daily work What to Expect Self-paced, practical modules covering prompts, invoice extraction, commentary, anomaly detection, and spreadsheet fixes Guidance on applicable rules and what auditors will ask for Core rule throughout: AI never sources a number; every figure traces to a document What You'll Achieve A complete finance deliverable, reconciled, checked, and signed off Kept files: AI opportunity list, tested prompt library, and source-linked reporting pack A compliance and audit-trail checklist to support AI use in finance roles

AI for Marketing is a self-paced course that teaches marketing, content and communications practitioners how to use generative AI for everyday marketing work and how to check its output before publishing. Learners identify where AI fits in their own role, write effective prompts, choose suitable tools, build a marketing strategy and review the EU rules that apply to publishing AI-made content. The course is practical and project-based: each module produces a reusable file, and learners finish by building one complete campaign pack, checked and ready to publish, with no coding, maths or prior AI experience required. Who This Course is For Marketing, content and communications professionals using or about to use AI tools Practitioners rather than developers, with no coding or AI theory required No prior AI experience needed; just a laptop, browser and free chat AI account What to Expect Self-paced, practical modules covering prompting, tool selection, strategy and EU rules Each module produces a reusable file, such as a tested prompt library Focus on checking AI output for accuracy and compliance before it goes out What You'll Achieve A complete campaign pack, built and checked, ready to publish An AI opportunity list, prompt library, marketing strategy and compliance checklist Skills to apply AI in your marketing role while meeting EU publishing rules

AI for Recruiting & Hiring is a self-paced, beginner-level course that teaches HR and recruiting professionals how to apply AI safely across the hiring workflow, with a human checkpoint at every step. Learners use AI to write job ads, screen CVs, generate interview packs, and build their own assistant or agent, while also covering what the EU AI Act requires of HR, including AI-literacy and disclosure duties, banned practices, and the upcoming high-risk regime for hiring AI. The course concludes with learners scoping, building, and testing their own AI-assisted hiring workflow on real sample data. Who This Course is For HR and recruiting professionals responsible for hiring workflows Beginners; no coding, data science, or prior AI experience required Practitioners needing to understand EU AI Act duties for hiring What to Expect Self-paced learning covering AI use from job ads to interviews Coverage of EU AI Act disclosure duties, banned practices, and high-risk rules Final project: scope, build, and test an AI-assisted hiring workflow on sample data What You'll Achieve Use AI to write job ads, screen CVs, and generate interview packs Build an assistant or agent with human checkpoints in each automated step Test for adverse impact and classify hiring use cases under the EU AI Act

AI: Vibe Code To Production is a practical, end-to-end course that teaches learners how to build and launch AI-powered web applications using the vibe coding approach. The curriculum covers AI-assisted product discovery and MVP planning, AI-driven frontend and backend development, API integration, and deployment of a finished product to the web. Designed for learners with no prior programming or computer science background, the course starts with the basics and progresses through each stage of the product lifecycle, from initial solution planning through building the product foundation, preparing APIs, and launching a working MVP. Who This Course is For Beginners with no prior computer science or programming experience No prior qualifications or technical knowledge required Learners who want to build and launch AI-powered web applications What to Expect Practical, end-to-end curriculum built around the vibe coding approach AI-assisted product discovery, MVP planning, and frontend and backend development API integration and deployment of an application to the web What You'll Achieve Plan products and solutions using AI-assisted discovery methods Build a product foundation and prepare APIs with AI tools Deploy and launch a working MVP on the web

Agentic AI: Intro to Agent Development is a hands-on course on building autonomous AI agents, intended for learners who already have Python, API, and backend engineering experience. The curriculum moves from foundational agent concepts to single-agent application development, then covers agents that use tools and retrieval-augmented generation (RAG), followed by more complex agent workflows. The course concludes with a capstone project focused on production-style agent deployment, giving learners practical experience applying each topic to a complete agent build. Who This Course is For Developers with basic Python skills and familiarity with AI and LLM concepts Learners experienced with REST APIs, HTTP requests, and foundational backend concepts Requires access to a development environment with an IDE, such as VS Code What to Expect Hands-on progression from agent fundamentals to single-agent application development Practice integrating tools and RAG into AI agents Capstone project focused on production-style agent deployment What You'll Achieve Understanding of AI agent fundamentals and complex agent workflows Ability to build single-agent applications using tools and RAG Capstone experience building and deploying a production-style agent

Parsity's AI Development course empowers engineers to build production-ready AI systems using Retrieval Augmented Generation (RAG). This self-paced online course covers core concepts, including document ingestion and semantic search, through hands-on projects. Participants will deploy intelligent agents and create a complete RAG application, enhancing their skills for AI-focused engineering roles. Before You Learn / Who This Course Is For Ideal for developers aiming to specialize in AI Engineers transitioning to AI-focused roles Prerequisites: JavaScript/TypeScript knowledge, API familiarity What to Expect Self-paced learning with hands-on assignments Projects include building a RAG application Mentorship and feedback from AI system experts What You'll Achieve Deep understanding of RAG systems and embeddings Skills in deploying and debugging AI applications

ProGrad's Microdegree offers a comprehensive online program designed for aspiring coders seeking to enhance their undergraduate studies. The course focuses on mastering in-demand skills like web development, Python, and AI through project-based learning. Students will engage in hands-on activities to build robust applications and impressive portfolios, positioning them for success in tech-related careers and global competitions. Before You Learn / Who This Course Is For Aspiring coders looking to enhance their skills Ideal for undergraduate students No specific prerequisites required What to Expect Self-paced online learning format Project-based activities and hands-on coding Access to global coding competitions What You'll Achieve Mastery in web development, Python, AI, and ML Portfolio showcasing developed projects Preparation for tech careers and competitions