Artificial Intelligence (AI) is transforming the way we learn, work, communicate, and solve everyday problems. From intelligent search engines and virtual assistants to content creation and data analysis, AI has become an integral part of our digital lives. The RKCL Certificate in Fundamentals of AI and Generative Tools (RCFAI) is a 30-hour Basic AI Literacy course designed to help learners understand the core concepts of Artificial Intelligence and confidently use modern AI-powered tools. The course introduces participants to the fundamentals of AI, its real-world applications, benefits, limitations, ethical considerations, and future career opportunities. Learners will also gain hands-on exposure to leading Generative AI tools such as ChatGPT, Google Gemini, Microsoft Copilot, Perplexity, Google NotebookLM, Canva AI, Adobe Express, and many more. Through practical examples and prompt-writing techniques, the course empowers citizens, students, professionals, and entrepreneurs to use AI responsibly, productively, and effectively in their daily personal and professional lives.
RCFAI (RKCL Certificate in Fundamentals of AI & Generative Tools)
Skills you'll learn
Under this RKCLs Basic level AI course, you will learn following key skills:
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Understand AI Fundamentals: Learn the core concepts, types, and real-world applications of Artificial Intelligence.
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Develop AI Literacy: Build the confidence to understand and use AI technologies in everyday life.
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Write Effective Prompts: Create clear and structured prompts to get accurate and useful AI-generated results.
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Use Leading AI Tools: Gain hands-on experience with ChatGPT, Google Gemini, Microsoft Copilot, Perplexity, NotebookLM, Canva AI, Adobe Express, and more.
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Create AI-Powered Content: Generate emails, documents, presentations, images, and other digital content efficiently.
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Perform Smart Research: Use AI to search, summarize, compare, and organize information quickly.
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Boost Digital Productivity: Complete routine tasks faster through AI-assisted writing, planning, and analysis.
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Design Creative Visuals: Create posters, social media graphics, and other visual content using AI tools.
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Apply AI in Daily Life & Work: Use AI for education, business, communication, and personal productivity.
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Use AI Responsibly: Understand AI ethics, privacy, security, bias, and safe usage practices.
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Evaluate AI Outputs: Identify AI limitations, verify information, and improve the quality of AI-generated content.
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Build Future-Ready Skills: Develop practical AI competencies that are increasingly valuable across industries and professions.
Job Prospects
Completing RKCLs Basic AI course can lead to various job prospects, including key job roles like:
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AI-Ready Professional: Build practical AI skills that add value across industries and job roles.
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Office Productivity Executive: Use AI tools to improve documentation, reporting, presentations, and communication.
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Administrative Assistant: Enhance efficiency by automating routine office and administrative tasks with AI.
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Customer Support Executive: Leverage AI for faster responses, knowledge retrieval, and customer interactions.
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Digital Marketing Assistant: Create marketing content, social media posts, and campaign ideas using AI.
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Content Creator: Generate blogs, articles, presentations, videos, and creative content with AI assistance.
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Education & Training Support: Use AI to prepare study material, lesson plans, quizzes, and learning resources.
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Freelancer & Entrepreneur: Deliver AI-powered content, design, research, and productivity services to clients.
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Business Support Executive: Apply AI for data summarization, documentation, research, and business communication.
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Student & Job Aspirant: Use AI to improve learning, assignments, resume writing, interview preparation, and career readiness.
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Digital Citizen: Confidently use AI tools for everyday tasks, decision-making, and lifelong learning.
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Foundation for Advanced AI Learning: Establish a strong base for pursuing specialized AI, data, and digital technology courses in the future.
How to Enroll
Course Prerequisites
To ensure successful participation in the course, the following prerequisites are recommended:
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Minimum Educational Qualification: Class 8 pass or equivalent (recommended).
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Basic Computer Knowledge: Familiarity with using a computer, keyboard, mouse, and common applications.
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Basic Digital Literacy: Ability to browse the internet, use email, and operate basic online services. RS-CIT course certificate will be an added advantage.
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Smartphone or Computer Access: Access to a smartphone, laptop, or desktop with internet connectivity for practice.
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No Programming Knowledge Required: The course is designed for beginners and does not require coding skills.
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No Prior AI Experience Required: Suitable for learners with little or no exposure to Artificial Intelligence.
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Willingness to Learn: Curiosity to explore new technologies and apply AI in everyday personal and professional tasks.
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Basic English Reading Skills: Helpful for using AI tools and understanding digital interfaces (though the course can be delivered bilingually).
These prerequisites are designed to ensure that learners have the foundational skills required to fully benefit from the course. Even if you feel you might not meet all the prerequisites perfectly, a willingness to learn and engage with the course material will also go a long way in ensuring your success.
Key Steps for Enrolment
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1.
A learner can search & locate his/her nearest RKCL Training center (IT Gyan Kendra) for this course in Rajasthan by clicking - https://myrkcl.com/frmsearchitgk_new.php
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2.
The learner should fill an application form available at the RKCL Training center (IT Gyan Kendra), submit relevant documents & pay the prescribed course fees.
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3.
Once the learner submits his/her details, relevant documents and pays the fees, the RKCL Training center (IT Gyan Kendra) will fill the learner details in the RKCL portal and upload the learner data. Further, the RKCL Training center (IT Gyan Kendra) coordinator will hand over a fee receipt. Learner is expected to verify the online details (personal details, course name, batch/month, fee receipt) as filled in by RKCL Training center (IT Gyan Kendra).
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4.
Once Admission is confirmed on RKCL portal, RKCL Training center (IT Gyan Kendra) will assign a mutually suitable training batch & time to the learner. After batch/time allotment, learner has to physically attend the classes at IT Gyan Kendra premises. A well trained & qualified faculty/instructor will teach the course as per schedule and impart both theoretical and practical exercises.
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5.
Subsequently, the learner gets free login-based access to course e-book & e-content on RKCLs LMS portal (iLearn) which serves as a study material for this course.
Duration
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Course Duration: 30 Hours (ideally 1 month)
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Course Fees: Rs 3,000/- only per candidate
Curriculum
| Chapter 1: Fundamentals of Artificial Intelligence | |||
|---|---|---|---|
| Ref. | Topic | Sub Topic Level 1 | Sub Topic Level 2 |
| 1.1 | Introduction to Artificial Intelligence | ||
| 1.1 | Understanding Artificial Intelligence | ||
| 1.1 | Definition of AI with real-life examples (Google Search, YouTube Recommendations, UPI fraud detection) | ||
| 1.1 | Concept of Intelligence (learning, reasoning, decision-making) | ||
| 1.1 | Difference between automation and AI | ||
| 1.1 | AI vs Traditional Computer Programs | ||
| 1.1 | How machines simulate intelligent behavior | ||
| 1.1 | Human Intelligence vs Machine Intelligence | ||
| 1.1 | Learning from experience (Human learning vs Machine learning from data) | ||
| 1.1 | Decision making using data patterns | ||
| 1.1 | Limitations: Emotions, empathy, ethical judgement | ||
| 1.1 | Evolution and Growth of AI | ||
| 1.1 | Early computing to modern AI systems | ||
| 1.1 | Role of Big Data, Cloud Computing (Google Cloud, Microsoft Azure basics) | ||
| 1.1 | AI in today€™s digital ecosystem | ||
| 1.1 | Growth of AI in India (Digital India, AI in public services) | ||
| 1.2 | Core Concepts of AI (Basic and Conceptual) | ||
| 1.2 | Data as the Foundation of AI | ||
| 1.2 | Structured and unstructured data | ||
| 1.2 | Data collection and digital footprints | ||
| 1.2 | Importance of data quality | ||
| 1.2 | Types of data: Text, Images, Audio, Video | ||
| 1.2 | Data sources: Social media, banking apps, e-governance portals | ||
| 1.2 | Concept of training data (simple explanation with example: spam detection | ||
| 1.2 | Introduction to Machine Learning | ||
| 1.2 | What is Machine Learning? (Learning from examples) | ||
| 1.2 | Example: Email spam filter, Netflix recommendations, Amazon suggestions | ||
| 1.2 | Supervised vs Unsupervised learning (basic conceptual difference) | ||
| 1.2 | AI, Machine Learning and Deep Learning | ||
| 1.2 | AI as umbrella concept | ||
| 1.2 | ML as subset | ||
| 1.2 | Deep Learning and Neural Networks (Face recognition, Voice recognition €“ conceptual only) | ||
| 1.3 | AI in Everyday Digital Services | ||
| 1.3 | AI in Smartphones | ||
| 1.3 | Google Assistant / Siri (voice commands) | ||
| 1.3 | Face Unlock and Fingerprint recognition | ||
| 1.3 | Google Photos automatic categorization | ||
| 1.3 | AI in Social Media and Online Platforms | ||
| 1.3 | Instagram / Facebook feed recommendations | ||
| 1.3 | YouTube video suggestions | ||
| 1.3 | AI content moderation (removal of harmful posts) | ||
| 1.3 | AI in Banking and Governance | ||
| 1.3 | Fraud detection systems | ||
| 1.3 | AI chatbots in public services | ||
| 1.3 | AI-enabled e-governance platforms | ||
| 1.4 | Benefit and limitation of AI | ||
| 1.4 | Advantages of AI | ||
| 1.4 | Automation and efficiency | ||
| 1.4 | Accuracy and speed | ||
| 1.4 | 24/7 availability | ||
| 1.4 | Limitations of AI | ||
| 1.4 | Lack of human judgment and emotions | ||
| 1.4 | Bias in data and algorithms | ||
| 1.4 | Over-dependence on technology | ||
| 1.4 | Human-AI Collaboration | ||
| 1.4 | AI as an assistive tool | ||
| 1.4 | Enhancing productivity | ||
| 1.4 | Responsible usage | ||
| 1.5 | AI Risks, Ethics and Safety | ||
| 1.5 | AI-based Digital Threats | ||
| 1.5 | Deepfake videos (basic awareness) | ||
| 1.5 | AI-generated fake messages | ||
| 1.5 | Voice cloning scams | ||
| 1.5 | Data Privacy and Protection | ||
| 1.5 | Safe sharing of Aadhaar, PAN, bank details | ||
| 1.5 | Importance of strong passwords and OTP security | ||
| 1.5 | Recognizing suspicious AI-generated content | ||
| 1.5 | New Govt laws on AI Generated Content | ||
| 1.5 | Responsible Use of AI | ||
| 1.5 | Verifying AI-generated information | ||
| 1.5 | Avoiding blind trust in AI outputs | ||
| 1.5 | Understanding bias in AI systems | ||
| 1.5 | |||
| 1.6 | Future Skills in the AI Era | ||
| 1.6 | Digital Literacy with AI Awareness | ||
| 1.6 | Understanding how AI influences search results | ||
| 1.6 | Identifying AI-generated images and videos | ||
| 1.6 | Responsible social media behaviour | ||
| 1.6 | Data Intelligence and Critical Thinking | ||
| 1.6 | Reading charts and digital reports | ||
| 1.6 | Cross-verifying online information | ||
| 1.6 | Logical questioning of AI responses | ||
| 1.6 | Tech-Friendly and Adaptive Behaviour | ||
| 1.6 | Continuous learning mindset | ||
| 1.6 | Using AI tools ethically | ||
| 1.6 | Preparing for AI-enabled workplaces | ||
| Chapter 2: Introduction to Generative AI Tools & Prompting | |||
| Ref | Topic | Sub Topic Level 1 | Sub Topic Level 2 |
| 2.1 | Overview of AI Tools | ||
| 2.1 | Overview of Generative AI | ||
| 2.1 | Introduction to Generative AI | ||
| 2.1 | How Generative AI is Different from Traditional AI | ||
| 2.1 | Types of Content Generated by Generative AI | ||
| 2.1 | How Generative AI Works (Basic Conceptual Level) | ||
| 2.1 | Categories of AI Tools | ||
| 2.1 | Conversational AI | ||
| 2.1 | Content generation tools | ||
| 2.1 | Productivity-enhancing AI tools | ||
| 2.1 | Text-Based AI Tools | ||
| 2.1 | ChatGPT (basic text generation and Q&A) | ||
| 2.1 | Google Gemini | ||
| 2.1 | Perplexity | ||
| 2.1 | Bing Chat ( Chat + web-based answers) | ||
| 2.1 | Smodin/TextCortex ( Writing assistance & summarizing) | ||
| 2.1 | Microsoft Copilot | ||
| 2.1 | NoteLLM | ||
| 2.1 | AI Tools for Images and Creativity | ||
| 2.1 | Canva AI (Magic Design, Text-to-Image basics) for Posters | ||
| Google Gemini Image generation | |||
| 2.1 | Adobe Express (Templates + easy AI enhancements) | ||
| 2.1 | Remove.bg (Background Removal) | ||
| 2.1 | Freepic | ||
| 2.1 | Playground AI (Text-to-image generation) | ||
| 2.1 | DALL·E / Dream / Playground (AI Art Prompting) | ||
| 2.1 | Pixlr / Photopea (AI filters & Photo Editing) | ||
| 2.1 | Audio and Translation tools | ||
| 2.1 | Google Recorder (Dictation & notes)- Record and auto-transcribe lectures | ||
| 2.1 | Otter.ai (Get auto summaries of group talks) | ||
| 2.1 | ElevenLabs (Generate natural voiceovers) | ||
| 2.1 | DeepL (Translate paragraphs fluently) | ||
| 2.1 | Microsoft Translator (Converse across languages) | ||
| 2.1 | AI Tools in Productivity Software | ||
| 2.1 | MS Word Copilot (auto content suggestions €“ concept) | ||
| 2.1 | Google Docs Smart Compose | ||
| 2.1 | Grammarly (AI writing assistant) | ||
| 2.1 | Zoho Writer AI (Writing enhancement and summarization) | ||
| 2.1 | Notion AI (Text generation & organization) | ||
| 2.1 | Trello AI (Butler) - Task/automation suggestions | ||
| 2.1 | Safe and Responsible Usage | ||
| 2.1 | Using official platforms | ||
| 2.1 | Account safety and passwords | ||
| 2.1 | Understanding privacy policies | ||
| 2.2 | Understanding Prompts | ||
| 2.2 | What is a Prompt? | ||
| 2.2 | Giving instructions to AI | ||
| 2.2 | Asking clear and specific questions | ||
| 2.2 | Providing context and Purpose | ||
| 2.2 | Elements of a Good Prompt | ||
| 2.2 | Role (Act as a teacher) | ||
| 2.2 | Task (Write an application) | ||
| 2.2 | Output format (In 150 words) | ||
| 2.2 | Language preference (Hindi / English) | ||
| 2.2 | Adding necessary details | ||
| 2.2 | Specifying output format | ||
| 2.2 | Step-by-Step Guidance from AI | ||
| 2.2 | Asking AI for structured notes | ||
| 2.2 | Generating outline before full content | ||
| 2.2 | Creating bullet-point summaries | ||
| 2.2 | Practice-Based Prompting Examples | ||
| 2.2 | Writing a leave application | ||
| 2.2 | Preparing a resume summary | ||
| 2.2 | Creating an event notice | ||
| 2.2 | Explaining a school topic in simple language | ||
| 2.3 | Responsible and Ethical Use of AI Tools | ||
| 2.3 | Verifying AI-Generated Content | ||
| 2.3 | Cross-checking facts | ||
| 2.3 | Identifying misinformation | ||
| 2.3 | Avoiding Misuse | ||
| 2.3 | Preventing plagiarism | ||
| 2.3 | Respecting copyright and originality | ||
| 2.3 | No sharing of personal data | ||
| 2.3 | Ethical academic usage | ||
| 2.4 | Practical Applications for Citizens | ||
| 2.4 | Office and Administrative Use | ||
| 2.4 | Drafting emails | ||
| 2.4 | Preparing circulars and notices | ||
| 2.4 | Creating basic reports | ||
| 2.4 | Note-making | ||
| 2.4 | Presentation outlines | ||
| 2.4 | Academic and Learning Use | ||
| 2.4 | Concept clarification | ||
| 2.4 | Exam preparation support | ||
| 2.4 | Making presentation outlines | ||
| 2.4 | Job and Career Support | ||
| 2.4 | Resume drafting | ||
| 2.4 | Interview question preparation | ||
| 2.4 | Cover letter generation | ||
Study Material
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Every registered student will get e-book access from RKCL on LMS portal (iLearn)
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Every registered student will get e-content access from RKCL on LMS portal (iLearn)
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RKCL Training Center (IT Gyan Kendra) faculty provides offline study notes also
Pedagogy
The RKCL Certificate in Fundamentals of AI and Generative Tools (RCFAI) follows a learner-centric, practical, and activity-based pedagogy designed to make AI accessible to everyone. The course combines concept-based learning with extensive hands-on practice using popular AI and Generative AI tools. Each topic is introduced through simple explanations, real-life examples, demonstrations, guided exercises, and practical assignments that enable learners to apply AI in everyday scenarios. Learners will develop prompt-writing skills, explore responsible and ethical use of AI, and complete task-oriented activities such as content creation, research, presentations, image generation, and productivity enhancement. The pedagogy emphasizes learning by doing, ensuring that participants gain the confidence and practical skills needed to effectively and responsibly use AI in their personal, academic, and professional lives.
Exam
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Mode of Exam: Fully Online
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Exam Portal: https://ilearn.myrkcl.com/ (RKCL LMS portal)
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Exam Venue: RKCL Training Center (Computer Lab)
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Duration of Exam: 60 minutes (1 Hour)
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Total Marks in Exam: 100
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Passing Marks in Exam: 40
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Exam Scheduling: Learner can take exam after minimum 21 days of adm payment
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Total Exam Attempts Given: 3
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Result Pattern: Grade pattern
Certification
RKCL provides a printed certificate to the learner (via RKCLs Training center) after his/her successful course completion.
A digital copy (PDF) is also made available via RKCL Training Center login.
Sample certificate design shared below –
