Getting Started with LLMs

About this course

This hands-on course from Analytics Vidhya—India's trusted data science platform—teaches you how to build practical applications using Large Language Models (LLMs). Rather than abstract theory, you'll work directly with LLMs to understand their strengths, limitations, and real-world applications.

LLMs have become central to modern AI work: from automating customer service to powering analytics tools. Learning to harness them effectively is no longer optional—it's a competitive advantage in tech, content, and data roles across India.

What you'll learn

• How LLMs work at a conceptual level and why they behave the way they do
• Hands-on techniques for prompting LLMs effectively to get better outputs
• How to integrate LLMs into small projects and workflows
• Common pitfalls and best practices when working with LLM APIs
• Fine-tuning basics: when and how to adapt LLMs to your specific needs
• Building and deploying LLM-powered applications from scratch
• Practical cost and performance considerations for production use

Who this is for

You'll get the most from this course if you're curious about AI and want to move beyond hype into hands-on building. You don't need to be a researcher or mathematician—just bring a willingness to experiment.

• Data professionals and analysts—strengthen your AI toolkit and prepare for roles that increasingly demand LLM experience
• Software engineers and developers—learn practical patterns for integrating AI into applications without reinventing the wheel

Prerequisites

Basic familiarity with Python is helpful but not required. No prior AI or machine learning background needed. If you've written any code before or worked with data, you're ready to start.

Why this matters for Indian learners

India's tech sector is rapidly adopting AI—from startups building LLM applications to established companies like Infosys, TCS, and HCL integrating AI into their offerings. Learning to work with LLMs now positions you for roles in AI-first teams, whether as a developer, analyst, or AI specialist.

Globally, LLM skills command premium salaries. In India, as demand grows faster than supply, early adopters gain disproportionate advantage in hiring and salary negotiations. This course is designed for Indian learners working with real-world constraints: slower internet, regional languages, and cost sensitivity—all of which the instructor addresses directly.

Frequently asked questions

Is this course really free?

Yes, completely free. Analytics Vidhya offers this course with no hidden charges or required upgrades. You can learn everything without spending a rupee.

How long will it take to complete?

The course is structured as 4 hours of content. Depending on how deeply you experiment with hands-on exercises, plan for 6–8 hours total over 1–2 weeks. You can move faster or slower based on your schedule.

Will I get a certificate?

Yes. Analytics Vidhya issues a certificate of completion once you finish the course and any associated assessments. You can add it to your LinkedIn and resume to signal your LLM readiness to employers.