AI Career Roadmap for Beginners
A stage-by-stage AI roadmap for beginners in India, from prerequisites and a first evaluated project to interview readiness.
Read the guide →LEARNING COLLECTION
AI and Generative AI: explore the work.
Build your understanding of AI and Generative AI through a roadmap, worked examples, project ideas and interview practice.
5 guides to explore
Generative AI, LLMs and AI Assistants Explained
Understand the model, the application around it and the checks each needs.
Read the guide →Prompt Engineering for Beginners: Build and Test Better Prompts
Use task definitions, examples and a repeatable test set to improve prompts.
Read the guide →AI Project Ideas for Students and Freshers
Three scoped projects that demonstrate evaluation, useful outputs and honest limitations.
Read the guide →AI Interview Questions for Freshers
Fourteen practice AI interview questions for freshers, grouped by theme, with what a strong answer shows and common weak answers.
Read the guide →ABOUT THIS COLLECTION
What will these AI and Generative AI guides help you do?
Explore how Generative AI can help people write, find information and organise work. Learn to describe a task clearly, evaluate the response and recognise when a person needs to take over.
- The work
- Build applications on top of AI tools and language models, and test what they produce.
- Coding and maths
- Start with tool-based exercises; integrations need programming. Basic numeracy and careful evaluation to start.
- First roles to search for
- AI Tools Associate, GenAI Trainee, Prompt Engineer Trainee, AI Project Assistant
See the full AI and Generative AI track: modules, projects and interview questions →
READING ORDER
Where should you start with AI and Generative AI?
Read in this order: the roadmap and concepts first, then skills, then projects and interview questions.
- 1AI Career Roadmap for Beginners
A stage-by-stage AI roadmap for beginners in India, from prerequisites and a first evaluated project to interview readiness.
- 2Generative AI, LLMs and AI Assistants Explained
Understand the model, the application around it and the checks each needs.
- 3Prompt Engineering for Beginners: Build and Test Better Prompts
Use task definitions, examples and a repeatable test set to improve prompts.
- 4AI vs Machine Learning: Which Track Should You Choose?
Compare applying AI tools to real tasks with building and evaluating models, and see which starting work and first roles suit you.
- 5AI vs AI Automation: Which Track Fits Your Interests?
Compare building useful AI applications with designing connected workflows that run reliably, and see which kind of work and first role suits you.
- 6AI Project Ideas for Students and Freshers
Three scoped projects that demonstrate evaluation, useful outputs and honest limitations.
QUESTIONS
Common questions about AI and Generative AI
Does AI include Generative AI?
Yes. Generative AI is covered within the existing AI track; it is not a separate programme track.
Do I need to build a model from scratch?
The track focuses on practical tools and applications. Model training and statistical evaluation are the focus of Machine Learning.
Can a non-CS student explore this field?
Yes. Start with clear task definition and output evaluation, then assess the technical preparation needed for your chosen project.
Is prompt writing enough for an AI career?
It is one skill. Domain understanding, evaluation, documentation and often programming matter too.
BY CITY