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Artificial Intelligence

Artificial Intelligence

Course Feature

Artificial Intelligence

  • Duration 10 Months
  • Class Timings 1.5 hour a day, 5 days a week
  • Eligibility

Course Features

  • Duration:10 months
  • Students:Max 10
  • Skill LeveAdvanced
  • LanguageEnglish / Hindi
  • Opening10am to 7pm
  • ClassesOn System

Artificial Intelligence Course in Jaipur

The scope of an Artificial Intelligence (AI) course in Jaipur is expanding rapidly, driven by the increasing integration of AI technologies across various sectors. Jaipur’s growing IT ecosystem, along with industries such as healthcare, finance, e-commerce, and manufacturing, is actively adopting AI solutions for automation, predictive analysis, and smarter decision-making. Completing an AI course can open career paths such as AI Engineer, Machine Learning Engineer, Data Scientist, and AI Researcher. With tools and technologies like Python, TensorFlow, Keras, and Natural Language Processing (NLP) gaining popularity, trained professionals are in high demand. Moreover, the rise of remote work and freelancing has further broadened opportunities, making AI a highly valuable and future-ready career choice in Jaipur’s evolving job market.

Artificial Intelligence Institute in Jaipur

The Artificial Intelligence course at DAAC in Jaipur offers a well-structured and in-depth curriculum aimed at preparing students for the evolving AI-driven landscape. The course covers essential tools and technologies such as Python, TensorFlow, Keras, OpenCV, and Natural Language Processing (NLP), along with advanced concepts like machine learning, deep learning, neural networks, and computer vision. Students gain hands-on experience by working on real-world projects that reflect actual industry challenges and receive expert guidance from experienced trainers. With both online and offline learning options and an industry-recognized certification, DAAC’s AI course is ideal for aspiring AI engineers, machine learning specialists, and professionals seeking to upskill in one of today’s most in-demand fields.

Artificial Intelligence Course Syllabus

The Data Analytics course syllabus is designed to equip students with a comprehensive understanding of data analysis, starting from the basics to advanced techniques. It covers essential topics like data collection, cleaning, and transformation, along with statistical analysis methods such as descriptive statistics, hypothesis testing, and regression analysis. Here you can see our Data Analytics Syllabus:-

MODULE - 1

Data Analysis With Python

Python Programming

  • Python Core
  • String Objects and Collection
  • Tuples, Sets Dictionary Object Basics
  • Functions, Lamda, Map, Filter, Reduce
  • OPPS Concepts and File Handling
  • Exception Handling
Minor Exam and Project

Statistics

  • Descriptive Statistics
  • Sample vs Population Statistics Random Variables
  • Probability Distribution Function Expected Value
  • Binomial Distribution
  • Normal Distribution Z Score
  • Central Limit Theorem
  • Hypothesis Testing
  • Type 1 Type 2 Error
  • Confidence Interval
  • Chi-Square Test
  • ANOVA Test
  • F Stats
Minor Exam and Project

Numpy

  • Numpy - ND array object.
  • Numpy - Data Types.
  • Numpy - Array Attributes.
  • Numpy - Array Creation Routines.
  • Numpy - Array From Existing.
  • Data Array From Numerical Ranges.
  • Numpy - Indexing Slicing.
  • Numpy - ND Array Object.
  • Numpy - Data Types.
  • Numpy - Array Attributes.
  • Numpy - Array Creation Routines.
  • Numpy - Array From Existing.
  • Data Array From Numerical Ranges.
  • Numpy - Indexing Slicing.
  • Numpy - Advanced Indexing.
  • Numpy - Broadcasting.
  • Numpy - Iterating Over Array.
  • Numpy - Array Manipulation.
  • Numpy - Binary Operators.
  • Numpy - String Functions.
  • Numpy - Mathematical Functions.
  • Numpy - Arithmetic Operations.
  • Numpy - Statistical Functions.
  • Sort, Search Counting Functions.
  • Numpy - Byte Swapping.
  • Numpy - Copies Views.
  • Numpy - Matrix Library.
  • Numpy - Linear Algebra
Minor Exam and Project

Pandas

  • Python Pandas - Series
  • Python Pandas - Data Frame
  • Python Pandas - Panel
  • Python Pandas - Basic Functionality
  • Reading Data from Different File Systems
  • Python Pandas - RE Indexing Python
  • Pandas - Iteration
  • Python Pandas - Sorting.
  • Working with Text Data Options Customization
  • Indexing Selecting
  • Data Statistical Functions
  • Python Pandas - Window Functions
  • Python Pandas - Date Functionality
  • Python Pandas - Time Delta
  • Python Pandas - Categorical Data
  • Python Pandas - Visualization
  • Python Pandas - Iotools
Minor Exam and Project

MODULE - 2

Data Visualization Techniques

Python Programming

  • Seaborn
  • Cufflinks
  • Plotly
  • Matplotlib
  • Bokeh
Minor Exam and Project

MODULE - 3

EDA Data Storytelling

  • IPL Dataset
  • Olympic Dataset
  • IMDB Dataset
  • Red Wine Quality Dataset
  • House Prices Dataset
Minor Exam and Project

MODULE - 4

Machine Learning-1

  • Introduction and Types of Machine Learning
  • Feature Engineering
  • Feature Selection
  • Linear Regression
  • Logistic Regression
  • Model Evaluation Techniques
Minor Exam and Project

MODULE - 5

Machine Learning-2

  • SVM (Support Vector Machine)
  • Naive Bayes
  • Decision Tree
Minor Exam and Project

MODULE - 6

Machine Learning-3

  • Random Forest
  • Dimensionality Reduction Using PCA
  • KNN(K-Nearest Neighbors)
  • K Means Clustering
  • Optimization
Minor Exam and Project

MODULE - 7

Deep learning - 1

  • Introduction to Deep Learning
  • Problems and Uses Cases
  • Leaning Rate
  • Activation Function
  • Optimizers
Minor Exam and Project

MODULE - 8

Deep learning - 2 (Theory)

  • ANN (Artificial Neural Network)
  • CNN( Convolutional Neural Network)
  • RNN(Recurrent Neural Network)
  • AutoEcoders
  • Tensorflow and Keras
Minor Exam and Project

MODULE - 9

Computer Vision -1

  • Decoding Images
  • Object Detection
Minor Exam and Project

MODULE - 10

Computer Vision -2

  • Annotation For Building Clean Models
  • Building FaceAuthentication
  • Transfer Learning
Minor Exam and Project

MODULE - 11

Natural Language Processing - 1

  • Introduction to NLP
  • Bag of Words Model
  • Seq2Seq Model
  • Word2Vec
Minor Exam and Project

MODULE - 12

Natural Language Processing - 2

  • Language Translation
  • BERT
  • Chat Bot
Minor Exam and Project

Why choose DAAC for Data artificial intelligence in Jaipur

With our artificial intelligence Courses and Specializations, we are the leading training institute for artificial intelligence in Jaipur. Our programs have helped thousands of trainees launch their careers. Here are some reasons to choose DAAC for your artificial intelligence institute in Jaipur

  • Hands-on experience with live projects.
  • We help you obtain artificial intelligence training, certifications, & jobs in Jaipur.
  • We offer free demo sessions.
  • Experienced faculty.
  • Both practical and theoretical classes are taught.

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Benefits of Studying artificial intelligence Course

  • High Demand: artificial intelligence skills are in high demand across various industries.
  • Career Growth: Opens doors to roles like artificial intelligence, Data Scientist.
  • Practical Tools: Gain hands-on experience with Data Analysis, Numpy, Python, Pandas, and Machine Learning.
  • Problem-Solving Skills: Enhance your ability to solve complex problems using AI.
  • Job Security: AI-related jobs are future-proof and in growing demand.
FAQ

Most Comment Question?

Artificial Intelligence (AI) is the branch of computer science focused on creating systems and machines that can perform tasks that typically require human intelligence. These tasks include learning from data, recognizing patterns, understanding natural language, solving problems, and making decisions. AI is used to power applications like virtual assistants, recommendation systems, autonomous vehicles, and intelligent automation across various industries.. 

The course is ideal for aspiring AI Engineers, Machine Learning Specialists, Data Scientists, and anyone interested in building intelligent systems or working with AI technologies. It’s also well-suited for IT professionals, software developers, and career changers who want to transition into the fast-growing field of Artificial Intelligence.

You’ll learn key skills such as machine learning, deep learning, neural networks, natural language processing (NLP), and computer vision. You’ll also gain hands-on experience with tools and frameworks like Python, TensorFlow, Keras, OpenCV, and Scikit-learn—equipping you to build and deploy intelligent systems in real-world scenarios.

No, many Artificial Intelligence courses are designed to start from the basics. However, having a basic understanding of programming—especially in Python—can be helpful, as it is widely used in AI for building models and working with data. The course usually includes foundational programming modules to support beginners.

The duration of an Artificial Intelligence course can vary based on the learning format. A full-time course typically takes around 9–10 months, while part-time or online options may extend to 9–12 months, depending on the depth of content and learning pace.

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