Generative AI & AI Tools Course in Jaipur
Learn how to use and build with Generative AI: define tasks, design prompts, work with language-model APIs and evaluate outputs. This page targets LLM, prompt-engineering and AI-application intent, while predictive modelling and traditional Machine Learning stay on the Data Science and Machine Learning page.
- Practical learning
- Project practice
- Jaipur
Generative AI & AI Tools
Build your foundation in Generative AI & AI Tools
Learn how to use and build with Generative AI: define tasks, design prompts, work with language-model APIs and evaluate outputs. This page targets LLM, prompt-engineering and AI-application intent, while predictive modelling and traditional Machine Learning stay on the Data Science and Machine Learning page.
Who can join?
Beginners can start with AI tools and prompting. Learners who want to build applications should add Python and API foundations.
Skills and tools
Course curriculum
Explore the learning outline below. Confirm the detailed syllabus and module coverage for your chosen batch with the course team.
AI and language model foundations
Distinguish using an AI tool from building an application connected to a model.
Prompt design
Describe goals, context, audience, output format and constraints, then improve results through iteration.
Python and API foundations
Work with files and data and understand how applications send requests and receive model responses.
Application concepts
Explore structured outputs, tool calling, embeddings and retrieval-based workflows.
AI-assisted workflows
Design a chatbot, content assistant or document question-answering prototype around a clear task.
Evaluation and responsible use
Test relevance and accuracy, protect sensitive data and identify situations requiring human review.
Project practice ideas
Use these examples to discuss suitable practice work with your trainer.
Information chatbot
Create a small assistant that answers a defined set of questions and test its limitations.
Document assistant prototype
Connect a document workflow to AI and evaluate answers against the source material.
Roles to explore
Build a portfolio and practise explaining your work. Role requirements depend on the employer, your skills and experience.
- AI application trainee
- Automation developer trainee
- AI-assisted content specialist
Frequently asked questions
Is coding required to start Generative AI?
You can begin with AI tools and prompt engineering without coding. Python and API skills become important when you want to build custom assistants, integrations or automation.
How is Generative AI different from Data Science and Machine Learning?
Generative AI focuses on language models, prompting, APIs and applications that generate or transform content. Data Science and Machine Learning focus more on data analysis, predictive models, clustering and model evaluation.
Who is this course for?
Beginners can start with AI tools and prompting. Learners who want to build applications should add Python and API foundations.
How can I confirm fees, duration and batch timings?
Contact Groot Academy for the current syllabus, fees, duration and available learning modes before enrolling. These details depend on the selected course and batch.