ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN BHUBANESWAR

Live Virtual

Instructor Led Live Online

154,000
81,900

  • IABAC® & DMC Certification
  • 9-Month | 780 Learning Hours
  • 100-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

92,000
57,900

  • Self Learning + Live Mentoring
  • IABAC® & DMC Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

154,000
86,900

  • IABAC® & DMC Certification
  • 9-Month | 780 Learning Hours
  • 100-Hour Classroom Sessions
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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UPCOMING ARTIFICIAL INTELLIGENCE ONLINE CLASSES IN BHUBANESWAR

BEST ARTIFICIAL INTELLIGENCE CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR ARTIFICIAL INTELLIGENCE COURSE

Why DataMites Infographic

SYLLABUS OF AI COURSE IN BHUBANESWAR

MODULE 1 : ARTIFICIAL INTELLIGENCE OVERVIEW 

• Evolution Of Human Intelligence
• What Is Artificial Intelligence?
• History Of Artificial Intelligence
• Why Artificial Intelligence Now?
• Areas Of Artificial Intelligence
• AI Vs Data Science Vs Machine Learning

MODULE 2 :  DEEP LEARNING INTRODUCTION

• Deep Neural Network
• Machine Learning vs Deep Learning
• Feature Learning in Deep Networks
• Applications of Deep Learning Networks

MODULE3 : TENSORFLOW FOUNDATION

• TensorFlow Structure and Modules
• Hands-On:ML modeling with TensorFlow

MODULE 4 : COMPUTER VISION INTRODUCTION

• Image Basics
• Convolution Neural Network (CNN)
• Image Classification with CNN
• Hands-On: Cat vs Dogs Classification with CNN Network

MODULE 5 : NATURAL LANGUAGE PROCESSING (NLP)

• NLP Introduction
• Bag of Words Models
• Word Embedding
• Hands-On:BERT Algorithm

MODULE 6 : AI ETHICAL ISSUES AND CONCERNS

• Issues And Concerns Around Ai
• Ai And Ethical Concerns
• Ai And Bias
• Ai:Ethics, Bias, And Trust

MODULE 1 : PYTHON BASICS 

 • Introduction of python
 • Installation of Python and IDE
 • Python Variables
 • Python basic data types
 • Number & Booleans, strings
 • Arithmetic Operators
 • Comparison Operators
 • Assignment Operators

MODULE 2 : PYTHON CONTROL STATEMENTS 

 • IF Conditional statement
 • IF-ELSE
 • NESTED IF
 • Python Loops basics
 • WHILE Statement
 • FOR statements
 • BREAK and CONTINUE statements

MODULE 3 : PYTHON DATA STRUCTURES 

 • Basic data structure in python
 • Basics of List
 • List: Object, methods
 • Tuple: Object, methods
 • Sets: Object, methods
 • Dictionary: Object, methods

MODULE 4 : PYTHON FUNCTIONS 

 • Functions basics
 • Function Parameter passing
 • Lambda functions
 • Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

 • Introduction to Statistics
 • Descriptive And Inferential Statistics
 • Basic Terms Of Statistics
 • Types Of Data

MODULE 2 : HARNESSING DATA 

 • Random Sampling
 • Sampling With Replacement And Without Replacement
 • Cochran's Minimum Sample Size
 • Types of Sampling
 • Simple Random Sampling
 • Stratified Random Sampling
 • Cluster Random Sampling
 • Systematic Random Sampling
 • Multi stage Sampling
 • Sampling Error
 • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

 • Exploratory Data Analysis Introduction
 • Measures Of Central Tendencies: Mean,Median And Mode
 • Measures Of Central Tendencies: Range, Variance And Standard Deviation
 • Data Distribution Plot: Histogram
 • Normal Distribution & Properties
 • Z Value / Standard Value
 • Empherical Rule and Outliers
 • Central Limit Theorem
 • Normality Testing
 • Skewness & Kurtosis
 • Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
 • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

 • Hypothesis Testing Introduction
 • P- Value, Critical Region
 • Types of Hypothesis Testing
 • Hypothesis Testing Errors : Type I And Type II
 • Two Sample Independent T-test
 • Two Sample Relation T-test
 • One Way Anova Test
 • Application of Hypothesis testing

MODULE 1: MACHINE LEARNING INTRODUCTION 

 • What Is ML? ML Vs AI
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 2: PYTHON NUMPY  PACKAGE 

• Introduction to Numpy Package
 • Array as Data Structure
 • Core Numpy functions
 • Matrix Operations, Broadcasting in Arrays

MODULE 3: PYTHON PANDAS PACKAGE

 • Introduction to Pandas package
 • Series in Pandas
 • Data Frame in Pandas
 • File Reading in Pandas
 • Data munging with Pandas

MODULE 4:  VISUALIZATION WITH PYTHON - Matplotlib 

 • Visualization Packages (Matplotlib)
 • Components Of A Plot, Sub-Plots
 • Basic Plots: Line, Bar, Pie, Scatter

MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN

 • Seaborn: Basic Plot
 • Advanced Python Data Visualizations

MODULE 6: ML ALGO: LINEAR REGRESSION

 • Introduction to Linear Regression
 • How it works: Regression and Best Fit Line
 • Modeling and Evaluation in Python

MODULE 7: ML ALGO: LOGISTIC REGRESSION 

 • Introduction to Logistic Regression
 • How it works: Classification & Sigmoid Curve
 • Modeling and Evaluation in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING

 • Understanding Clustering (Unsupervised)
 • K Means Algorithm
 • How it works : K Means theory
 • Modeling in Python

MODULE 9: ML ALGO: KNN

 • Introduction to KNN
 • How It Works: Nearest Neighbor Concept
 • Modeling and Evaluation in Python

MODULE 1:  FEATURE ENGINEERING 

 • Introduction to Feature Engineering
 • Feature Engineering Techniques: Encoding, Scaling, Data Transformation
 • Handling Missing values, handling outliers
 • Creation of Pipeline
 • Use case for feature engineering

MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

 • Introduction to SVM
 • How It Works: SVM Concept, Kernel Trick
 • Modeling and Evaluation of SVM in Python

MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)

 • Building Blocks Of PCA
 • How it works: Finding Principal Components
 • Modeling PCA in Python

MODULE 4: ML ALGO: DECISION TREE 

 • Introduction to Decision Tree & Random Forest
 • How it works
 • Modeling and Evaluation in Python

MODULE 5: ENSEMBLE TECHNIQUES - BAGGING

 • Introduction to Ensemble technique 
 • Bagging and How it works
 • Modeling and Evaluation in Python

MODULE 6: ML ALGO: NAÏVE BAYES

 • Introduction to Naive Bayes
 • How it works: Bayes' Theorem
 • Naive Bayes For Text Classification
 • Modeling and Evaluation in Python

MODULE 7:  GRADIENT BOOSTING, XGBOOST 

 • Introduction to Boosting and XGBoost
 • How it works?
 • Modeling and Evaluation of in Python

MODULE 1: TIME SERIES FORECASTING - ARIMA 

 • What is Time Series?
 • Trend, Seasonality, cyclical and random
 • Stationarity of Time Series
 • Autoregressive Model (AR)
 • Moving Average Model (MA)
 • ARIMA Model
 • Autocorrelation and AIC
 • Time Series Analysis in Python

MODULE 2:  SENTIMENT ANALYSIS

 • Introduction to Sentiment Analysis
 • NLTK Package
 • Case study: Sentiment Analysis on Movie Reviews

MODULE 3:  REGULAR EXPRESSIONS WITH PYTHON 

 • Regex Introduction
 • Regex codes
 • Text extraction with Python Regex

MODULE 4: ML MODEL DEPLOYMENT WITH FLASK 

 • Introduction to Flask
 • URL and App routing
 • Flask application – ML Model deployment

MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL 

 • MS Excel core Functions
 • Advanced Functions (VLOOKUP, INDIRECT..)
 • Linear Regression with EXCEL
 • Data Table
 • Goal Seek Analysis
 • Pivot Table
 • Solving Data Equation with EXCEL

MODULE 6:  AWS CLOUD FOR DATA SCIENCE

 • Introduction of cloud
 • Difference between GCC, Azure,AWS
 • AWS Service ( EC2 instance)

MODULE 7: AZURE FOR DATA SCIENCE

 • Introduction to AZURE ML studio
 • Data Pipeline
 • ML modeling with Azure

MODULE 8: INTRODUCTION TO DEEP LEARNING

 • Introduction to Artificial Neural Network, Architecture
 • Artificial Neural Network in Python
 • Introduction to Convolutional Neural Network, Architecture
 • Convolutional Neural Network in Python

MODULE 1: DATABASE INTRODUCTION

 • DATABASE Overview
 • Key concepts of database management
 • Relational Database Management System
 • CRUD operations

 MODULE 2: SQL BASICS

 • Introduction to Databases
 • Introduction to SQL
 • SQL Commands
 • MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

 • Numeric, Character, date time data type
 • Primary key, Foreign key, Not null
 • Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

 • Create database
 • Delete database
 • Show and use databases
 • Create table, Rename table
 • Delete table, Delete table records
 • Create new table from existing data types
 • Insert into, Update records
 • Alter table

MODULE 5: SQL JOINS

• Inner join
• Outer join
• Left join
• Right join
• Cross join
• Self join
• Windows functions: Over, Partition , Rank 

MODULE 6: SQL COMMANDS AND CLAUSES

 • Select, Select distinct
 • Aliases, Where clause
 • Relational operators, Logical
 • Between, Order by, In
 • Like, Limit, null/not null, group by
 • Having, Sub queries

 MODULE 7: DOCUMENT DB/NO-SQL DB

 • Introduction of Document DB
 • Document DB vs SQL DB
 • Popular Document DBs
 • MongoDB basics
 • Data format and Key methods

MODULE 1: GIT  INTRODUCTION 

 • Purpose of Version Control
 • Popular Version control tools
 • Git Distribution Version Control
 • Terminologies
 • Git Workflow
 • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

 • Git Repo Introduction
 • Create New Repo with Init command
 • Git Essentials: Copy & User Setup
 • Mastering Git and GitHub

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

• Code commits
• Pull, Fetch and conflicts resolution
• Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

• Organize code with branches
• Checkout branch
• Merge branches
• Editing Commits
• Commit command Amend flag
• Git reset and revert

MODULE 5: GIT WITH GITHUB AND BITBUCKET 

• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers

MODULE 1: BIG DATA INTRODUCTION 

  • Big Data Overview
  • Five Vs of Big Data
  • What is Big Data and Hadoop
  • Introduction to Hadoop
  • Components of Hadoop Ecosystem
  • Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE 

  • HDFS – Big Data Storage
  • Distributed Processing with Map Reduce
  • Mapping and reducing  stages concepts
  • Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION 

  • PySpark Introduction
  • Spark Configuration
  • Resilient distributed datasets (RDD)
  • Working with RDDs in PySpark
  • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

  • Introducing Spark SQL
  • Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS 

 • Introduction to Business Intelligence & Introduction to Tableau
 • Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
 • Bar chart, Tree Map, Line Chart
 • Area chart, Combination Charts, Map
 • Dashboards creation, Quick Filters
 • Create Table Calculations
 • Create Calculated Fields
 • Create Custom Hierarchies

MODULE 2: POWER-BI BASICS 

 • Power BI Introduction 
 • Basics Visualizations
 • Dashboard Creation
 • Basic Data Cleaning
 • Basic DAX FUNCTION

MODULE 3 : DATA TRANSFORMATION TECHNIQUES

 • Exploring Query Editor
 • Data Cleansing and Manipulation:
 • Creating Our Initial Project File
 • Connecting to Our Data Source
 • Editing Rows
 • Changing Data Types
 • Replacing Values

MODULE 4 :  CONNECTING TO VARIOUS DATA SOURCES 

 • Connecting to a CSV File
 • Connecting to a Webpage
 • Extracting Characters
 • Splitting and Merging Columns
 • Creating Conditional Columns
 • Creating Columns from Examples
 • Create Data Model

MODULE 1: NEURAL NETWORKS 

 • Structure of neural networks
 • Neural network - core concepts(Weight initialization)
 • Neural network - core concepts(Optimizer)
 • Neural network - core concepts(Need of activation)
 • Neural network - core concepts(MSE & RMSE)
 • Feed forward algorithm
 • Backpropagation

MODULE 2: IMPLEMENTING DEEP NEURAL NETWORKS 

 • Introduction to neural networks with tf2.X
 • Simple deep learning model in Keras (tf2.X)
 • Building neural network model in TF2.0 for MNIST dataset

MODULE 3: DEEP COMPUTER VISION - IMAGE RECOGNITION

• Convolutional neural networks (CNNs)
• CNNs with Keras-part1
• CNNs with Keras-part2
• Transfer learning in CNN
• Flowers dataset with tf2.X(part-1)
• Flowers dataset with tf2.X(part-2)
• Examining x-ray with CNN model

MODULE 4 : DEEP COMPUTER VISION - OBJECT DETECTION

 • What is Object detection
 • Methods of Object Detections
 • Metrics of Object detection
 • Bounding Box regression
 • labelimg
 • RCNN
 • Fast RCNN
 • Faster RCNN
 • SSD
 • YOLO Implementation
 • Object detection using cv2

MODULE 5: RECURRENT NEURAL NETWORK 

• RNN introduction
• Sequences with RNNs
• Long short-term memory networks(part 1)
• Long short-term memory networks(part 2)
• Bi-directional RNN and LSTM
• Examples of RNN applications

MODULE 6: NATURAL LANGUAGE PROCESSING (NLP)

• Introduction to Natural language processing
• Working with Text file
• Working with pdf file
• Introduction to regex
• Regex part 1
• Regex part 2
• Word Embedding
• RNN model creation
• Transformers and BERT
• Introduction to GPT (Generative Pre-trained Transformer)
• State of art NLP and projects

MODULE 7: PROMPT ENGINEERING

• Introduction to Prompt Engineering
• Understanding the Role of Prompts in AI Systems
• Design Principles for Effective Prompts
• Techniques for Generating and Optimizing Prompts
• Applications of Prompt Engineering in Natural Language Processing

MODULE 8: REINFORCEMENT LEARNING

• Markov decision process
• Fundamental equations in RL
• Model-based method
• Dynamic programming model free methods

MODULE 9: DEEP REINFORCEMENT LEARNING

• Architectures of deep Q learning
• Deep Q learning
• Reinforcement Learning Projects with OpenAI Gym

MODULE 10: Gen AI

• Gan introduction, Core Concepts, and Applications
• Core concepts of GAN
• GAN applications
• Building GAN model with TensorFlow 2.X
• Introduction to GPT (Generative Pre-trained Transformer)
• Building a Question answer bot with the models on Hugging Face

MODULE 11: Gen AI

• Introduction to Autoencoder
• Basic Structure and Components of Autoencoders
• Types of Autoencoders: Vanilla, Denoising, Variational, Sparse, and Convolutional Autoencoders
• Training Autoencoders: Loss Functions, Optimization Techniques
• Applications of Autoencoders: Dimensionality Reduction, Anomaly Detection, Image

OFFERED ARTIFICIAL INTELLIGENCE COURSES IN BHUBANESWAR

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN BHUBANESWAR

Artificial Intelligence (AI) has emerged as a groundbreaking technology, significantly impacting industries worldwide, and Bhubaneswar is increasingly becoming a hub for AI-driven innovation. With a surge in tech startups and established companies embracing AI, Bhubaneswar has positioned itself as a city at the forefront of AI development in India.

DataMites stands out globally as a leading provider of AI and ML courses in Bhubaneswar, offering comprehensive programs designed to empower individuals to excel in the evolving field of artificial intelligence. With a curriculum focused on hands-on projects, real-world applications, and career-oriented support, DataMites is the trusted choice for Artificial Intelligence courses in Bhubaneswar with placement assistance to students.

The Artificial Intelligence Engineer Course at DataMites is accredited by IABAC and NASSCOM FutureSkills, guaranteeing it meets international industry standards. This extensive 9-month training is available at an offline center in Bhubaneswar, blending in-person instruction with practical immersion. The course includes live projects, internships, and Artificial Intelligence training in Bhubaneswar tailored for both professionals and students. With personalized placement support, participants gain the skills and confidence required to thrive in AI-driven industries.

Bhubaneswar: A Thriving AI Ecosystem

Bhubaneswar, the capital of Odisha, is a thriving center of technology and innovation, often referred to as the "Smart City." It stands as a key hub for IT and software development. The transformative impact of AI is undeniable, with a PwC report highlighting its significant influence on the global economy. By 2030, AI technologies are projected to contribute a remarkable $15.7 trillion, boosting global GDP by 14% through enhanced productivity and unparalleled efficiency.

The city offers a vibrant ecosystem for learning and growth, with numerous Artificial Intelligence institutions in Bhubaneswar, research centers, and thriving industries. Bhubaneswar, with its blend of rich cultural heritage and modern infrastructure, offers an ideal environment for pursuing an Artificial Intelligence certification in Bhubaneswar. The city's dynamic atmosphere provides ample opportunities to explore AI applications across various sectors and contribute to the region's technological growth.

Why Choose Artificial Intelligence Training in Bhubaneswar?

Bhubaneswar, the capital city of Odisha, is rapidly evolving into a prominent technology and innovation hub in eastern India. Known for its rich cultural heritage and strong educational foundation, the city offers an excellent environment for individuals looking to excel in Artificial Intelligence (AI). Here are compelling reasons to pursue Artificial Intelligence training in Bhubaneswar:

  1. Emerging Tech Ecosystem: Bhubaneswar is gaining recognition for its growing IT infrastructure and thriving tech community. The city is home to several IT parks, startups, and established companies adopting AI technologies, creating a robust ecosystem for aspiring AI professionals.
  2. Strategic Location: Situated in eastern India, Bhubaneswar is well-connected to major cities like Kolkata, Hyderabad, and Bangalore, which are known for tech innovation. This geographical advantage allows students and professionals to network with industry leaders and explore job opportunities across the country.
  3. Affordable Cost of Living and Education: Compared to metro cities like Mumbai or Bangalore, Bhubaneswar offers a significantly lower cost of living and education. This affordability makes the city an attractive destination for students and professionals seeking top-notch Artificial Intelligence training in Bhubaneswar without financial strain.
  4. Growing Demand for AI Professionals: Industries in Bhubaneswar, such as healthcare, agriculture, manufacturing, and finance, are increasingly adopting AI-driven solutions. This surge in AI integration has led to a growing demand for skilled professionals in roles like AI Engineers, Data Scientists, and Machine Learning Engineers. According to Glassdoor, the average salary for an AI Engineer in Bhubaneswar is INR 7 lakhs per year.
  5. Supportive Government Initiatives: The Odisha government has been proactive in promoting technology and innovation. Initiatives like STPI Bhubaneswar and the establishment of IT parks encourage the growth of the tech ecosystem, creating a favorable environment for AI enthusiasts.

Bhubaneswar’s unique blend of cultural richness, educational excellence, and emerging technological landscape makes it an ideal destination for Artificial Intelligence Course in Bhubaneswar. Pursuing AI education in this vibrant city offers students and professionals a platform to build a rewarding career in the AI-driven world.

Prominent AI Job Roles in Bhubaneswar and Skills to Master

Bhubaneswar, with its growing tech ecosystem and increasing adoption of Artificial Intelligence (AI) across various industries, offers a wide range of exciting career opportunities for AI professionals. The city’s expanding IT sector, combined with the demand for AI-driven solutions in industries such as healthcare, manufacturing, finance, and retail, has led to the emergence of several prominent AI job roles. Here are some of the key AI job roles you can pursue in Bhubaneswar:

  1. AI Engineer: AI Engineers design, develop, and implement AI models and systems. They focus on integrating AI solutions into practical applications, leveraging machine learning (ML) algorithms and deep learning techniques to solve complex problems.
  2. Machine Learning Engineer: Machine Learning Engineers specialize in creating algorithms that enable systems to learn from data and make predictions, optimizing performance through data-driven insights.
  3. Data Scientist: Data Scientists are instrumental in AI by analyzing large datasets to identify trends, patterns, and insights. They apply statistical methods and machine learning techniques to address business challenges and support data-driven decision-making.
  4. Natural Language Processing (NLP) Engineer: NLP Engineers specialize in developing AI systems that can comprehend and process human language. They work on applications like chatbots, virtual assistants, sentiment analysis, and language translation.
  5. Computer Vision Engineer: Computer Vision Engineers design algorithms that enable machines to interpret and understand visual information. Their work spans areas such as facial recognition, image processing, object detection, and autonomous vehicles.

To thrive in these roles, professionals must master key AI skills such as programming in Python or R, constructing machine learning models, working with neural networks, and utilizing tools like TensorFlow and Keras. Proficiency in big data frameworks like Hadoop or Spark, cloud platforms, and AI ethics further strengthens their competitive advantage.

In addition, strong soft skills, including analytical thinking, problem-solving, and effective communication, are vital for interpreting AI insights and conveying them clearly to stakeholders.

Why Choose DataMites for Artificial Intelligence Training in Bhubaneswar?

  1. Global Recognition: Our Artificial Intelligence courses in Bhubaneswar are backed by credentials accredited by prestigious organizations like IABAC and NASSCOM FutureSkills.
  2. Experienced Faculty: Gain insights from industry experts, including renowned AI specialist Ashok Veda, who share practical knowledge and valuable expertise.
  3. Offline Center: DataMites provides both online and offline Artificial Intelligence courses in Bhubaneswar, with a conveniently located offline center for easy accessibility.
  4. Practical Project and Internships: Our Artificial Intelligence Courses in Bhubaneswar with internships, seamlessly combine academic learning with practical training.
  5. Placement Assistance: DataMites offers Artificial Intelligence courses in Bhubaneswar with placement assistance, ensuring a seamless transition from education to employment.

Innovative 3-Phase Learning Methodology at DataMites

DataMites employs a structured 3-Phase Learning Methodology to provide an interactive and practical learning experience.

Phase 1: Pre-Course Self-Study

Students begin their learning journey with high-quality video tutorials and study materials, laying a solid foundation in artificial intelligence concepts.

Phase 2: Immersive Training

This phase consists of 20 hours of weekly training over three months. Learners can choose between live online sessions or offline Artificial Intelligence courses in Bhubaneswar. The curriculum includes hands-on projects, expert mentorship, and content tailored to industry needs.

Phase 3: Internship & Placement Assistance

Students engage in 20 capstone projects and a client project, earning a prestigious internship certification. DataMites' Placement Assistance Team (PAT) offers dedicated career support to help students land roles with leading companies.

Comprehensive Artificial Intelligence Curriculum

Our Artificial Intelligence Engineer Courses in Bhubaneswar integrate the AI Expert and Certified Data Scientist (CDS) programs, offering a thorough and comprehensive education in artificial intelligence and data science. The curriculum encompasses a broad spectrum of topics in the Artificial Intelligence course, such as:

  1. Python Foundation
  2. Data Science Foundations
  3. Machine Learning Expert
  4. Advanced Data Science
  5. Version Control with Git
  6. Big Data Foundation
  7. Certified BI Analyst
  8. Database: SQL and MongoDB
  9. Artificial Intelligence Foundation

This all-encompassing approach guarantees that our students gain the essential knowledge and skills needed to thrive in the rapidly advancing field of artificial intelligence.

Additional AI Certifications from DataMites

  1. Artificial Intelligence for Managers: This program is crafted for business leaders, emphasizing the application of AI in shaping strategic business decisions.
  2. Certified NLP Expert: Focused on Natural Language Processing, this course is perfect for individuals passionate about AI's role in understanding and processing human language.
  3. Artificial Intelligence Expert: Aimed at both beginners and intermediate data science professionals, this course provides a strong, career-focused foundation in AI.
  4. Artificial Intelligence Foundation: This beginner-friendly course offers a thorough understanding of the fundamental principles and concepts of AI.

DataMites Artificial Intelligence Course Tools in Bhubaneswar

In our Artificial Intelligence Certification in Bhubaneswar, we provide comprehensive coverage of a wide array of AI tools, ensuring you gain the essential skills and expertise. These tools encompass:

  1. Anaconda
  2. Python
  3. Apache Pyspark
  4. Git
  5. Hadoop
  6. MySQL
  7. MongoDB
  8. Amazon SageMaker
  9. Google Bert
  10. Google Colab
  11. Advanced Excel
  12. Scikit Learn
  13. Azure Machine Learning
  14. Flask
  15. Apache Kafka
  16. Power BI
  17. GitHub
  18. Numpy
  19. TensorFlow
  20. Pandas
  21. Tableau
  22. Atlassian BitBucket
  23. Natural Language Toolkit
  24. PyCharm

Launch Your AI Career in Bhubaneswar

With its fast-growing IT and tech sector, Bhubaneswar provides abundant opportunities for AI professionals. DataMites provides an ideal platform for aspiring AI professionals, blending world-class education, industry insights, and hands-on training. Whether you are a student, a working professional, or an entrepreneur, DataMites Artificial Intelligence training in Bhubaneswar equips you with the knowledge and skills to succeed in the AI-driven world.

Along with artificial intelligence courses in Bhubaneswar, DataMites Training Institute in Bhubaneswar also provides machine learning, deep learning, python training, IoT, data engineer, mlops, tableau, data mining, python for data science, data analytics and data science courses in Bhubaneswar. Seize the opportunity to join this transformative field. Start your AI journey with DataMites Bhubaneswar today!

ABOUT ARTIFICIAL INTELLIGENCE COURSE IN BHUBANESWAR

Artificial Intelligence (AI) refers to the development of intelligent machines capable of performing tasks that typically require human intelligence. It involves creating algorithms and systems that can learn, reason, perceive, and make decisions.                         

Artificial Intelligence is commonly applied in various domains such as healthcare, finance, transportation, customer service, manufacturing, and many others. It has a wide range of applications and is transforming industries across the board.

Everyday examples of Artificial Intelligence include virtual assistants like Siri and Alexa, personalized recommendations on streaming platforms, fraud detection systems used by banks, voice recognition systems, and autonomous navigation systems in vehicles.

Prerequisites for acquiring knowledge in Artificial Intelligence in Bhubaneswar may include a basic understanding of programming concepts, familiarity with mathematics (particularly linear algebra and statistics), and a curiosity to learn and explore AI technologies. However, specific prerequisites may vary depending on the training program or course.

Pursuing a career in artificial intelligence typically requires a strong educational background in computer science, AI, data science, or a related field. A bachelor's or master's degree in these disciplines is often preferred by employers. Additionally, having knowledge of programming languages, mathematics, and machine learning concepts is beneficial.

The future prospects for AI in the job market are highly promising. The demand for AI professionals is increasing rapidly as organizations across industries recognize the potential of AI technologies. AI-related job roles are expected to grow significantly, offering abundant opportunities for individuals with AI skills and expertise.

To transition into an Artificial Intelligence Career from a different field, one can follow these steps:

  • Acquire a solid understanding of AI concepts, algorithms, and technologies through online courses, books, or tutorials.
  • Learn programming languages commonly used in AI, such as Python or R, to implement AI models and algorithms.
  • Build a portfolio of AI projects to showcase practical skills and demonstrate competence.
  • Seek internships or freelance opportunities to gain hands-on experience and learn from industry professionals.
  • Network with AI professionals, attend conferences, and participate in AI-related events to expand connections and stay updated on industry trends.

Artificial Intelligence (AI) is a broader concept that encompasses the development of intelligent machines capable of simulating human intelligence. It includes various techniques and approaches, including Machine Learning (ML). Machine Learning is a subset of AI that focuses on enabling machines to learn from data and make predictions or decisions without being explicitly programmed.

Some job roles within the AI field include AI Engineer/Developer, Data Scientist, Machine Learning Engineer, AI Research Scientist, AI Consultant, AI Project Manager, and AI Ethicist. These roles involve responsibilities such as designing and implementing AI solutions, analyzing data, conducting research, and managing AI projects while considering ethical implications.

A career in Artificial Intelligence holds great promise. The demand for AI professionals is on the rise as businesses adopt AI technologies for various applications. AI experts have the opportunity to work on cutting-edge projects, solve complex problems, and contribute to technological advancements. The field offers competitive salaries, continuous learning opportunities, and a wide range of career paths.

To initiate a career in AI, you can take the following steps:

  • Acquire a strong foundation in mathematics, computer science, and programming.
  • Gain knowledge and understanding of AI concepts, algorithms, and technologies through online courses or academic programs.
  • Learn programming languages commonly used in AI, such as Python or R.
  • Master machine learning and deep learning techniques.
  • Build a portfolio of AI projects to showcase your practical skills.
  • Stay updated with the latest advancements and research in AI through continuous learning and participation in AI communities or events.
  • Seek internships or entry-level positions to gain hands-on experience and further develop your skills.
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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN BHUBANESWAR

DataMites offers various certifications in the field of Artificial Intelligence, including AI Engineer Certification, Certified NLP Expert Certification, AI Expert Certification, AI Foundation Certification, and AI for Managers Certification.

The duration of the Artificial Intelligence course provided by DataMites in Bhubaneswar may vary depending on the specific course selection. The course duration can range from one month to one year, offering flexibility to accommodate various schedules and preferences. DataMites provides training sessions on both weekdays and weekends, ensuring that participants can choose a schedule that suits their availability and learning needs.

Individuals can acquire knowledge in the field of Artificial Intelligence through various means, including self-study using online resources, textbooks, research papers, and tutorials. They can also enroll in AI courses and training programs, pursue a degree or diploma program in AI or related fields, attend workshops and conferences, and engage in practical projects and competitions to gain hands-on experience.

DataMites is preferred for online Artificial Intelligence training in Bhubaneswar due to several reasons, including experienced trainers who are industry professionals, comprehensive course curriculum covering various AI topics, hands-on learning with practical projects, flexible batch options and schedules, placement assistance, and the option to obtain certifications upon completion of the training.

The Artificial Intelligence for Managers Course offered by DataMites in Bhubaneswar covers AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. It provides managers with the necessary knowledge to make informed decisions regarding AI adoption, implementation, and leveraging AI technologies for business growth.

The AI Foundation Course in Bhubaneswar offered by DataMites provides a comprehensive introduction to AI. It covers the basics of AI, machine learning, and deep learning. The course content includes an overview of AI, supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques. It lays a strong foundation in AI concepts and techniques.

The fee for DataMites' Artificial Intelligence Training in Bhubaneswar may vary depending on the specific course and duration. The fee for DataMites' Artificial Intelligence Training program in Bhubaneswar may vary based on the specific course and program duration. Generally, the artificial intelligence course fee in Bhubaneswar ranges from INR 60,795 to INR 154,000, providing flexibility for participants to choose a program that suits their requirements.

DataMites offers both online and classroom training options for Artificial Intelligence in Bhubaneswar. Participants can choose the mode of training that best suits their preferences and requirements.

The Flexi-Pass feature available at DataMites in Bhubaneswar allows participants to attend training sessions at their convenience. It provides flexibility in scheduling by offering multiple batch options. This feature ensures that individuals can balance their learning with other commitments and attend classes as per their availability and preference.

DataMites offers certifications in collaboration with well-regarded institutions, including IABAC (International Association of Business Analytics Certifications), JAINx, and NASSCOM FutureSkills Prime. These certifications hold high esteem in the industry, elevating your professional standing and career prospects in Artificial Intelligence. Upon successfully finishing the Artificial Intelligence training at DataMites, you can earn these notable certifications, providing tangible proof of your AI skills and expertise.

Yes, upon completing a training program with DataMites in Bhubaneswar, participants can obtain a Course Completion Certificate. This certificate acknowledges their successful completion of the program and can be a valuable addition to their professional profile.

Yes, DataMites may offer the option to attend a demo class before making a payment for the Artificial Intelligence course in Bhubaneswar. This allows individuals to get a glimpse of the training approach, course content, and teaching style before making a decision.

The average salary for an Artificial Intelligence Engineer in Bhubaneswar may vary depending on factors such as the candidate's experience, skills, and the specific organization. Salaries in the field of Artificial Intelligence are generally competitive and may range from entry-level positions to higher-paying roles based on expertise and experience. The salary range for AI Engineers in India is typically between ?3.0 Lakhs and ?20.0 Lakhs, with an average annual salary of ?7.0 Lakhs, based on data from AmbitionBox.

Yes, DataMites provides Artificial Intelligence Courses in Bhubaneswar that include placement assistance. They aim to support participants in connecting with job opportunities in the field of Artificial Intelligence through resume building, interview preparation, and job placement guidance.

The AI Engineer Course offered by DataMites in Bhubaneswar aims to equip individuals with the skills and knowledge required to become proficient AI engineers. The course covers various aspects of AI, including machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. It prepares participants to build AI models and deploy them in real-world scenarios.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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