// COURSE · BEGINNER TO ADVANCED

AI Course in Jaipur: AI & Machine Learning Career Program

Our flagship artificial intelligence course in Jaipur. You go from Python basics to machine learning, Generative AI and AI agents, and you are taught by industry professionals.

  • Beginner to Advanced
  • Classroom · Jaipur
  • Live Projects
  • Professional Trainers

About the AI & Machine Learning Career Program in Jaipur

Artificial Intelligence is changing every industry, and companies need people who can actually build AI systems, not just talk about them. The AI & Machine Learning Career Program at Swastik AI Lab is a complete AI course in Jaipur. It takes you from zero to job-ready AI skills through hands-on, lab-style training.

You start with Python and data handling, move on to statistics and machine learning, then learn deep learning, computer vision and NLP. Finally you cover the newest areas of AI: Large Language Models (LLMs), prompt engineering, RAG, vector databases and Agentic AI. Every module ends with practical work, so by the end of the course you have a portfolio of real AI projects.

The course is delivered as classroom training in Jaipur by professional trainers who work on AI and software projects themselves. You learn the way AI is built in the industry, with clean code, real datasets and working applications.

Who Should Join

  • Students and freshers (B.Tech, BCA, MCA, B.Sc, M.Sc) who want a career in AI
  • Working professionals planning to switch into AI and machine learning roles
  • Software developers who want deep, end-to-end AI skills
  • Anyone in Jaipur who wants a structured, practical artificial intelligence course

What You Will Learn

  • Write Python code for data analysis and AI
  • Build, train and evaluate machine learning models
  • Understand neural networks and deep learning
  • Work with computer vision and NLP basics
  • Use LLMs, prompt engineering and RAG to build GenAI apps
  • Design AI agents that use tools and complete tasks
  • Integrate AI through APIs and deploy simple AI applications
  • Graduate with a portfolio of live AI projects

// Syllabus

AI & Machine Learning Career Program Syllabus

A practical, module-by-module curriculum. Every module includes hands-on lab work.

Module 1: Python Programming for AI

  • Python fundamentals and data structures
  • Functions, modules and OOP basics
  • Working with files, JSON and APIs
  • Jupyter notebooks and a clean coding workflow

Module 2: Data Handling & Visualization

  • NumPy for numerical computing
  • Pandas for data cleaning and analysis
  • Data visualization with Matplotlib
  • Exploratory data analysis (EDA)

Module 3: Statistics & Math for ML

  • Descriptive statistics and distributions
  • Probability basics
  • Linear algebra intuition for ML
  • Correlation and hypothesis thinking

Module 4: Machine Learning

  • Supervised learning: regression and classification
  • Unsupervised learning: clustering and dimensionality reduction
  • Feature engineering and pipelines
  • Model evaluation, cross-validation and tuning

Module 5: Deep Learning, CV & NLP

  • Neural networks and backpropagation
  • Deep learning with TensorFlow / PyTorch
  • Computer vision basics: image classification
  • NLP basics: text processing and embeddings

Module 6: Generative AI & LLMs

  • How Large Language Models work
  • Prompt engineering techniques
  • Embeddings and vector databases
  • Retrieval-Augmented Generation (RAG)

Module 7: AI Agents & Agentic AI

  • What AI agents are and how they plan
  • Tool use and function calling
  • Multi-step and multi-agent workflows
  • Guardrails, evaluation and safety basics

Module 8: Projects & Deployment

  • API integration for AI applications
  • Building a simple AI web app
  • Deployment basics
  • Capstone project and portfolio review

// Lab Experiments

Projects You Will Build

Real, portfolio-ready AI projects, built in class with guidance from professional trainers.

EXPERIMENT EXP-01

House Price Prediction

Regression model with feature engineering and evaluation on real data.

  • Pandas
  • Scikit-learn

EXPERIMENT EXP-02

Image Classifier

A deep learning model that recognises objects in images.

  • Deep Learning
  • CV

EXPERIMENT EXP-03

RAG Document Chatbot

A chatbot that answers questions from your own PDFs and documents.

  • LLM
  • Vector DB
  • RAG

EXPERIMENT EXP-04

Autonomous AI Agent

An agent that plans, calls tools and finishes multi-step tasks.

  • Agents
  • APIs

Prerequisites

  • No prior AI knowledge needed
  • Basic computer skills
  • Any coding exposure helps, but Python is taught from scratch

Career Roles You Can Target

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Generative AI Developer
  • AI Application Developer
  • Data Analyst

// FAQs

AI & Machine Learning Career Program in Jaipur: FAQs

What is the best AI course in Jaipur for beginners?

The AI & Machine Learning Career Program is designed so beginners can start from the basics. It begins with Python and builds up step by step to machine learning, Generative AI and AI agents, with practical work in every module.

What will I learn in this artificial intelligence course?

You will learn Python, data analysis, statistics, machine learning, deep learning, computer vision and NLP basics, Generative AI with LLMs and RAG, and AI agents, and you will build live projects along the way.

Is this AI course in Jaipur classroom-based?

Yes. It is classroom training in Jaipur, Rajasthan, delivered by professional trainers, so you get face-to-face guidance and hands-on lab sessions.

Do I need a coding background to join?

No. Python is taught from scratch. Prior coding experience helps you move faster, but it is not required.

What are the course duration and fees?

Duration, batch timings and fees for the upcoming batch are shared during the free demo and counselling session. Book a free demo class to get the complete details.

Will I build real AI projects?

Yes. You build projects such as a prediction model, an image classifier, a RAG chatbot and an AI agent, and these become your portfolio.

// Related

Intermediate

Machine Learning Course

Learn supervised and unsupervised learning, feature engineering and model evaluation by working on real datasets.

  • Scikit-learn
  • Pandas
  • Statistics
View course

Intermediate

Generative AI Course

Learn how LLMs work: prompt engineering, RAG, vector databases and LLM APIs. Then build GenAI applications.

  • LLMs
  • RAG
  • Prompting
  • Vector DB
View course

Advanced

Agentic AI Course

Design AI agents that plan, use tools and complete multi-step tasks, from single agents to multi-agent systems.

  • AI Agents
  • Tool Use
  • Multi-Agent
View course

// Start Today

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