About this course
Build practical skills in generative AI and prompt engineering with the NxT Certified Generative AI & Prompt Engineering Professional course. Over three months, learn how large language models work, write and refine effective prompts, and apply generative AI tools to real-world tasks.
The course combines guided learning with hands-on projects covering text generation, research, workflow automation, responsible AI, and evaluation of model outputs. No prior AI experience is required; basic computer skills are recommended.
- Duration: 3 months
- Course fee: ₹xx,xxx
- Category: AI / ML Core
- Learning focus: generative AI, prompt engineering, practical applications, and responsible use
Tools you will master
Hands-on practice on the same software that companies use every day.
Google GeminiAI
ClaudeAI
PerplexityAI
NotebookLMAI
What you will study, module by module
- AI Basics and Everyday Uses
- Generative AI: How It Works
- Prompt Engineering Foundations
- AI for Study and Workplace Tasks
- Fact-Checking and Reliable Research
- Privacy, Safety and Responsible Use
- Integrated Practice and Review
After this course you will be able to
- Explain key generative AI concepts, including large language models, tokens, context windows, and common model limitations.
- Create, test, and refine prompts using clear instructions, examples, constraints, and structured output formats.
- Select suitable generative AI tools for writing, research, summarization, brainstorming, and productivity tasks.
- Evaluate AI-generated responses for relevance, accuracy, consistency, bias, and potential hallucinations.
- Design repeatable AI-assisted workflows for common professional and business use cases.
- Apply responsible AI practices, including privacy awareness, human review, and appropriate disclosure.
Projects you will build
Prompt Improvement Portfolio: Create and compare prompt variations for a selected task, document the results, and explain which approach works best.
AI Research and Summarization Workflow: Build a workflow that organizes source material, produces a summary, and includes steps for checking factual claims.
Content Creation Assistant: Design a reusable prompt sequence for producing and revising audience-specific content while maintaining a consistent tone.
Business Task Automation Prototype: Map a repetitive task and develop an AI-assisted workflow with clear inputs, outputs, and human review steps.
Responsible AI Evaluation: Assess sample model outputs for accuracy, bias, privacy risks, and suitability, then recommend safeguards.
Jobs you can get after this course
Who hires for these skills
Earn on your own
- Depending on their skills and portfolio, learners may offer prompt writing, AI-assisted content support or simple no-code workflow setup. Freelance work requires client communication, quality checks and responsible handling of data.
Is this course for you?
Best for
- College students and graduates curious about AI careers.
- Working professionals who want to use AI in their current work.
- Job seekers exploring digital and technology roles.
- Business owners seeking to understand AI-enabled workflows.
- Creative workers and homemakers interested in practical AI tools.
Eligibility
Open to students, professionals, and career changers interested in generative AI. Basic computer literacy and comfort using web applications are recommended. Prior programming or machine learning experience is not required.
What next after this course
Questions students ask
No. The course is designed for beginners and does not require prior programming or machine learning experience. Basic computer literacy is recommended.
The course duration is three months, and the listed fee is ₹xx,xxx.
You will learn to write, test, and refine prompts; provide useful context and examples; request structured outputs; and evaluate responses for quality and limitations.
Yes. Assignments include prompt testing, research and summarization workflows, content creation, business task automation, and responsible AI evaluation.
No course can guarantee employment. The skills and projects are intended to support your learning and help demonstrate practical familiarity with generative AI.