ChatGPT Courses

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

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

The Data Analytics course offers a comprehensive, self-paced online learning experience designed for aspiring data professionals. Students will gain industry-ready skills through hands-on projects and the creation of portfolio pieces. The curriculum includes foundational statistics, SQL for database management, Python libraries, and cloud services. Learners will also explore time series and geospatial data processing while collaborating on projects using Git. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and professionals No prerequisites required; open to all learners Suitable for both technical and non-technical backgrounds What to Expect Self-paced online format for flexible learning Hands-on projects and portfolio creation Utilize Python, SQL, and cloud services What You'll Achieve Build a professional portfolio with multiple projects Master SQL, Python, and data visualization Apply skills to real-world data analysis challenges

The Data Science course equips learners with essential skills for a data science career through hands-on projects and portfolio development. The course offers a comprehensive exploration of statistics, machine learning, and data processing using Python libraries like NumPy and Pandas. Delivered online, participants will engage with real-world datasets and tools, ensuring practical understanding and readiness for industry challenges. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Online, self-paced learning with hands-on projects Utilize Python libraries: NumPy, Pandas, Matplotlib Collaborate using Git and cloud services What You'll Achieve Create multiple portfolio pieces showcasing skills Master data processing including time series and NLP Develop practical, industry-ready data science skills

SuperCode's AI Content Creator Bootcamp is a 16-week, part-time online course focusing on generative AI for content creation. Participants will learn to use AI tools to produce professional texts, images, videos, and audio formats. The course emphasizes hands-on practice and strategic tool integration, enhancing digital and creative skills for marketing and content production professionals. Before You Learn / Who This Course Is For Designed for marketing, communication, and design professionals Ideal for those enhancing skills with AI technologies No prerequisites required; open to all levels What to Expect Live online classes with expert instructors Small group setting of 10-12 participants Hands-on projects using AI tools like ChatGPT What You'll Achieve Develop AI-driven content creation skills Gain expertise in storytelling and visual branding Directly applicable skills for professional environments

SuperCode's AI Visual Engineer course is a 24-week, part-time online program designed for professionals seeking to enhance their creative and technical skills with AI tools. The course focuses on the practical application of AI in visual content production, utilizing modern tools like Freepik Spaces and Weavy. Participants learn to create compelling visuals and campaigns, optimize workflows, and adapt graphics to various platforms, all while maintaining stylistic consistency and brand identity. Before You Learn / Who This Course Is For Ideal for marketing, design, and content professionals No prerequisites required Suitable for part-time learners What to Expect Live online sessions in small groups Hands-on projects with expert guidance Focus on practical visual content applications What You'll Achieve Option to earn IHK certification Skills in AI-based graphic generation and workflow development Enhanced ability to create visual campaigns