ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN JAMSHEDPUR

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 JAMSHEDPUR

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 JAMSHEDPUR

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 JAMSHEDPUR

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN JAMSHEDPUR

DataMites is a renowned institution offering advanced Artificial Intelligence (AI) education to both professionals and students, equipping them with the latest industry-relevant skills. With a proven track record of educating over 100,000 learners globally, DataMites has become synonymous with excellence and innovation in AI and machine learning education. The meticulously crafted curriculum caters to individuals at all skill levels, from beginners to seasoned professionals, ensuring a seamless progression from fundamental concepts to real-world applications.

DataMites Artificial Intelligence course in Jamshedpur curriculum covers everything from data manipulation and visualization to advanced machine learning techniques, providing a comprehensive learning experience. The institute’s expert instructors, with years of industry experience, guide learners through the complexities of the subject matter with ease.

The Artificial Intelligence Engineer Course offered by DataMites, accredited by IABAC and NASSCOM FutureSkills, aligns with global industry standards. This 9-month, immersive training program is offered at an offline center in Jamshedpur, blending in-person instruction with practical learning. The course offers live projects, internships, and training designed to cater to both professionals and students. With dedicated placement support, participants acquire the skills and confidence needed to thrive in AI-driven industries.

IT Industry in Jamshedpur: Emerging Opportunities

Jamshedpur, traditionally known for its industrial prowess, is gradually establishing itself as a burgeoning hub for Information Technology (IT). The city is home to over 35 IT companies, specializing in areas ranging from custom software development to e-commerce solutions. 

Delhi, the capital city of India, boasts a vibrant IT ecosystem characterized by a multitude of startups and established tech companies. The city's strategic location, coupled with robust infrastructure and supportive government policies, has attracted numerous domestic and international tech firms. Delhi's IT sector is experiencing rapid growth, with a significant increase in the number of tech startups and IT professionals.

Kolkata's IT sector is experiencing a remarkable annual growth rate of 70%, driven by several state initiatives designed to promote the industry. This rapid expansion is evident in the increasing number of IT companies and the growing demand for skilled professionals in the region. The city's IT infrastructure is continually evolving, with investments in data centers and cloud services to support the burgeoning tech industry.

Why Choose Jamshedpur for Artificial Intelligence Training?

Jamshedpur, often referred to as the "Steel City of India," is widely recognized for its industrial significance and robust educational infrastructure. While traditionally known for its contributions to manufacturing and engineering, Jamshedpur is emerging as a promising destination for learning Artificial Intelligence (AI). Here’s why Artificial Intelligence Course in  Jamshedpur stands out:

  1. Industrial Hub Offering Real-World Applications: Being an industrial powerhouse, Jamshedpur provides unique opportunities to explore the application of AI in industries like manufacturing, logistics, and supply chain management.
  2. Affordable Training and Living Costs: Jamshedpur offers quality education and training at a much lower cost compared to metro cities. The overall cost of living, including accommodation, food, and transportation, is budget-friendly, making it accessible for students and professionals.
  3. Emerging Tech Ecosystem: Jamshedpur’s growing interest in technology-driven solutions has led to the rise of startups and small tech firms experimenting with AI and automation.
  4. Opportunities in Industrial Automation: With its strong industrial base, Jamshedpur is a hotspot for exploring AI applications in areas like predictive maintenance, robotics, and process optimization. According to Glassdoor, the average salary for an AI Engineer in Jamshedpur is 5 lakhs per year.

Career Prospects in Artificial Intelligence in Jamshedpur

Artificial Intelligence Training in Jamshedpur has emerged as one of the most transformative technologies of our time, with applications spanning industries such as healthcare, finance, automotive, education, and more. As AI adoption continues to grow, so do the career prospects for professionals skilled in AI and related fields. Below is an overview of the exciting career opportunities in AI:

  1. AI Engineers: Crafting algorithms and models for intelligent systems.
  2. Machine Learning Specialists: Developing advanced predictive and analytical tools.
  3. Data Scientists: Analyzing complex datasets to derive actionable insights.
  4. AI Consultants: Guiding businesses in leveraging AI for operational excellence.
  5. AI Researchers: Innovating new methodologies and technologies in artificial intelligence.

To succeed in these roles, professionals must develop key Artificial Intelligence skills, including proficiency in programming languages like Python or R, building machine learning models, working with neural networks, and utilizing tools such as TensorFlow and Keras. Expertise in big data frameworks like Hadoop and Spark, as well as experience with cloud platforms and AI ethics, can greatly enhance their competitive edge.

Moreover, strong soft skills, such as analytical thinking, problem-solving, and effective communication, are crucial for interpreting AI insights and presenting them clearly to stakeholders.

Why DataMites for Artificial Intelligence Training in Jamshedpur?

  1. Global Recognition: Our Artificial Intelligence courses in Jamshedpur are backed by credentials accredited by prestigious organizations like IABAC and NASSCOM FutureSkills.
  2. Expert Faculty: Gain insights from industry-leading professionals, including the distinguished AI specialist Ashok Veda, who bring practical expertise and real-world knowledge to the table.
  3. Flexible Learning Options: DataMites provides both online and offline Artificial Intelligence courses in Jamshedpur, with a conveniently located offline center for easy accessibility.
  4. Practical Project and Internships: Our Artificial Intelligence Courses in Jamshedpur with internships, seamlessly combine academic learning with practical training.
  5. Placement Assistance: DataMites offers Artificial Intelligence courses in Jamshedpur 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, designed to provide an engaging and practical educational experience.

Phase 1: Pre-Course Self-Study

Students begin their learning journey with premium video tutorials and in-depth study materials, building a solid foundation in artificial intelligence concepts.

Phase 2: Immersive Training

This phase consists of 20 hours of weekly training over a span of three months. Learners have the option to choose between live online sessions or offline artificial intelligence courses in Jamshedpur. The curriculum combines practical projects, expert guidance, and industry-focused content to deliver a comprehensive and enriching learning experience.

Phase 3: Internship & Placement Assistance

Students undertake 20 capstone projects and a client project, culminating in a distinguished internship certification. DataMites' Placement Assistance Team (PAT) provides personalized career support, helping students secure positions with top-tier companies.

Comprehensive Artificial Intelligence Curriculum

Our Artificial Intelligence Engineer Courses in Jamshedpur integrate the AI Expert and Certified Data Scientist (CDS) programs, offering a thorough and comprehensive education in artificial intelligence and data science. The Artificial Intelligence course curriculum covers a comprehensive range of topics, including:

  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 comprehensive approach ensures students gain the essential knowledge and skills needed to excel in the rapidly evolving field of artificial intelligence.

Additional AI Certifications from DataMites

  1. Artificial Intelligence for Managers: A specialized program designed for business leaders, focusing on integrating AI into strategic decision-making and optimizing business operations.
  2. Certified NLP Expert: A course dedicated to Natural Language Processing, perfect for individuals interested in exploring AI's capabilities in understanding and interpreting human language.
  3. Artificial Intelligence Expert: Tailored for beginners and intermediate data science professionals, this course provides a strong, career-focused foundation in AI.
  4. Artificial Intelligence Foundation: An introductory program offering a thorough understanding of AI's fundamental principles and core concepts.

DataMites Artificial Intelligence Course Tools in Jamshedpur

In our Artificial Intelligence Institute in Jamshedpur, 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

Elevate Your Career in Artificial Intelligence

Artificial Intelligence  has emerged as a game-changer across industries, with its market expected to reach $190 billion by 2025. From chatbots and recommendation systems to fraud detection and autonomous vehicles, AI applications are revolutionizing business processes and transforming customer experiences. The power of AI lies in its ability to analyze vast amounts of data, identify patterns, and make intelligent predictions. 

Jamshedpur offers a conducive environment for learning and career development in AI. Jamshedpur has a strong educational infrastructure, with esteemed institutions and universities that contribute to the overall growth of the region. By pursuing an Artificial Intelligence Certification in Jamshedpur, individuals can benefit from the city's emerging opportunities and establish a rewarding career in the field.

Along with artificial intelligence courses, DataMites also provides data analytics, deep learning, python training, IoT, data engineer, mlops, tableau, data mining, python for data science, machine learning and data science courses.

ABOUT ARTIFICIAL INTELLIGENCE COURSE IN JAMSHEDPUR

Artificial Intelligence refers to the development of intelligent machines that can perform tasks typically requiring human intelligence. It involves creating systems and algorithms capable of autonomous learning, reasoning, and decision-making.

Instances of AI in daily life include virtual assistants like Siri, Alexa, and Google Assistant, recommendation systems on streaming platforms and e-commerce websites, email spam filters, autonomous vehicles, facial recognition technology in smartphones, and natural language processing in chatbots and customer support systems.

Artificial Intelligence (AI) is a broader concept that encompasses the development of intelligent systems, while Machine Learning (ML) is a subset of AI focused on enabling systems to learn and improve from data without explicit programming. ML algorithms allow systems to learn patterns and make predictions based on data.

Advantages of AI include automation of repetitive tasks, improved accuracy in data analysis and decision-making, handling large amounts of data, and enhanced capabilities in various industries. Disadvantages include job displacement, ethical concerns related to privacy and bias, dependency on AI systems, and high costs of development and implementation.

A career in AI typically requires a strong educational background in computer science, mathematics, or related fields. Qualifications can include a bachelor's or master's degree in computer science or AI, proficiency in programming languages, knowledge of algorithms and statistics, familiarity with machine learning and deep learning concepts, and staying updated with AI advancements.

The AI Expert Course is an advanced-level program for individuals with a solid foundation in AI. It covers advanced AI algorithms, emerging trends, cutting-edge research, and complex applications. Specialized modules or tracks may focus on topics like deep learning, computer vision, natural language processing, or reinforcement learning.

The AI Engineer Course provides comprehensive training in AI, focusing on machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. Participants learn to build AI models, analyze data, and solve real-world problems through a combination of theory, hands-on exercises, and practical projects.

Transitioning into an AI career in Jamshedpur from a different field involves assessing existing skills, gaining foundational AI knowledge through online courses or books, building practical projects and a portfolio, networking with AI professionals, considering further education or certifications, seeking entry-level positions or internships, and continuously learning and staying updated.

Job roles in AI include AI Engineer/Developer, Machine Learning Engineer, Data Scientist, AI Research Scientist, NLP Engineer, Computer Vision Engineer, Robotics Engineer, AI Project Manager, and AI Consultant.

Pursuing a career in artificial intelligence is indeed a promising choice, given the growing demand for AI professionals in diverse industries. The continuous advancements in AI technology offer ample opportunities to make significant contributions. However, it is important to keep up with the rapid evolution of the field to stay competitive.

Steps to start a career in AI include gaining a strong foundation in mathematics and programming, pursuing a degree or certification in computer science or AI, acquiring knowledge in machine learning and data analysis, building a portfolio with AI projects, seeking practical experience through internships or entry-level positions, continuous learning, networking, and considering advanced education or certifications in AI.

Python is widely regarded as the most suitable programming language for AI development. It offers extensive libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn that facilitate tasks like machine learning, deep learning, and natural language processing. Python's simplicity, readability, and strong community support make it popular among AI practitioners.

Comparing the advantages of AI and ML is subjective as they are closely related and often used together. However, AI allows machines to exhibit human-like intelligence, enabling tasks beyond traditional programming, while ML focuses on algorithms that learn from data and improve performance. AI encompasses a broader scope including problem-solving and reasoning, while ML specifically emphasizes learning patterns and making predictions. Both fields have significant applications in various domains such as healthcare, finance, and automation.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN JAMSHEDPUR

DataMites provides certifications in Jamshedpur for 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 in Jamshedpur offered by DataMites varies depending on the specific course chosen. The duration can range from one month to a year, with flexible training options available on both weekdays and weekends.

Individuals can acquire knowledge in Artificial Intelligence through self-study using online resources, enrolling in AI courses or degree programs, attending workshops or conferences, engaging in practical projects, and gaining hands-on experience in the field.

The AI Engineer Course offered by DataMites in Jamshedpur aims to equip individuals with the skills and knowledge necessary 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.

The Certified NLP Expert Course offered by DataMites in Jamshedpur focuses on Natural Language Processing (NLP) skills and applications. The course covers topics such as text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models.

The AI for Managers Course provided by DataMites in Jamshedpur covers topics such as AI basics, machine learning, deep learning, natural language processing, computer vision, AI implementation challenges, ethical considerations, and AI project management. The course aims to provide managers with the necessary knowledge to make informed decisions regarding AI adoption and implementation.

The AI Foundation Course offered by DataMites in Jamshedpur provides a comprehensive introduction to AI. The course covers the basics of AI, machine learning, and deep learning. Topics include supervised and unsupervised learning, neural networks, deep learning algorithms, model evaluation, and deployment techniques.

Generally, anyone with an interest in pursuing a career in Artificial Intelligence can enroll in an Artificial Intelligence Certification Training in Jamshedpur. There are usually no strict prerequisites in terms of educational background or prior experience.

The average salary for an Artificial Intelligence Engineer in Jamshedpur may vary based on factors such as experience, skills, industry, and the specific organization. However, an approximate average annual salary for an AI Engineer in India is around ?9,44,075.

To ensure a smooth process for issuing the participation certificate and booking the certification exam, participants are required to bring valid photo identification proofs, such as a National ID card or driving license, as proof of identity during the training session at DataMites in Jamshedpur.

In case of inability to attend a session during the Artificial Intelligence training at DataMites in Jamshedpur, participants can coordinate with instructors to schedule a makeup class at a convenient time. For online training, recorded sessions will be provided, allowing participants to catch up on missed content.

Yes, it is possible to attend a free demo class before enrolling in the Artificial Intelligence course at DataMites in Jamshedpur. The demo class serves as an introduction to the training program, allowing potential participants to get a glimpse of the content, teaching methodology, and overall learning experience. Attending a demo class helps individuals make an informed decision about whether to enroll in the course.

The cost of the Artificial Intelligence Training program at DataMites in Jamshedpur depends on the particular course selected and the program's duration. Typically, the fee for the Artificial Intelligence Course in Jamshedpur falls within the range of INR 60,795 to INR 154,000.

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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