ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN SHILLONG

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 SHILLONG

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 SHILLONG

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 SHILLONG

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN SHILLONG

DataMites, a globally acclaimed institution for Artificial Intelligence training, has redefined AI education with its innovative and industry-aligned curriculum. Backed by accreditations from prestigious organizations such as IABAC and NASSCOM FutureSkills, DataMites has successfully trained over 100,000 learners worldwide, setting a gold standard in AI and Machine Learning Training.

DataMites Artificial Intelligence course in Shillong 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 Shillong, 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.

Shillong’s Emerging IT Landscape

Shillong, the capital of Meghalaya, is witnessing a gradual shift towards digital transformation, driven by the state government’s initiatives to boost IT infrastructure. The Meghalaya State Data Centre and upcoming IT parks aim to provide a foundation for technology-driven industries.

Delhi, as part of the National Capital Region (NCR), stands as one of India’s largest IT ecosystems, housing numerous global and domestic IT companies. With IT parks like DLF Cyber City and Noida’s IT SEZs, the region has become a hotspot for innovation in artificial intelligence, cybersecurity, and data analytics.

Kolkata has been steadily strengthening its IT sector, with key IT parks such as Sector V in Salt Lake and Ecospace in New Town driving the city’s tech industry. Renowned firms like TCS, Cognizant, and Wipro operate in Kolkata, leveraging its strategic location and skilled workforce. This regional perspective highlights Shillong’s potential in the IT domain while linking it with major technology centers like Delhi and Kolkata.

Why Shillong is Positioned for Artificial Intelligence Excellence

Shillong, the picturesque capital of Meghalaya, is steadily positioning itself as a promising hub for Artificial Intelligence Course in Shillong. Known for its natural beauty and cultural richness, Shillong is now leveraging its unique advantages to create a foothold in the world of technology and innovation. Here’s why Shillong is well-positioned to emerge as a center of AI Course:

  1. Emerging Tech Ecosystem: Shillong has seen a rise in tech startups and entrepreneurs exploring AI applications in areas like agriculture, tourism, and healthcare. These startups leverage the region’s natural strengths while integrating AI to drive impactful solutions, especially for local challenges.
  2. Focus on Sustainability and AI: As a city known for its focus on sustainability and environmental conservation, Shillong is uniquely positioned to apply AI in solving ecological problems. AI-driven models for environmental monitoring, waste management, and sustainable tourism can thrive in this region.
  3. Strategic Location in the North-East: Shillong serves as a gateway to the North-Eastern states of India, a region with immense untapped potential. The city’s strategic position makes it an ideal hub for AI solutions tailored to the unique socio-economic and geographical challenges of the area.

Artificial Intelligence Career Opportunities in Shillong

The growing awareness of AI’s transformative capabilities has opened doors to diverse career opportunities in Shillong. Artificial Intelligence Training in Shillong equip learners with the skills required for roles such as:

  1. AI Engineer: Building intelligent systems for local industries like logistics and renewable energy.
  2. Data Scientist: Extracting actionable insights from complex datasets to improve decision-making processes.
  3. AI Consultant: Guiding businesses on integrating AI to enhance operational efficiency and customer engagement.
  4. Automation Specialist: Implementing AI-driven solutions to streamline workflows in sectors like tourism and government services.

Success in these roles requires mastery of programming languages like Python, expertise in AI frameworks like TensorFlow and Keras, and familiarity with big data platforms and cloud technologies. Soft skills, including problem-solving and analytical thinking, are equally critical for communicating AI-driven solutions effectively.

Why DataMites for Artificial Intelligence Training in Shillong?

  1. Global Recognition: Our Artificial Intelligence courses in Shillong are backed by credentials accredited by prestigious organizations like IABAC and NASSCOM FutureSkills.
  2. Expert Faculty: Learn from leading industry professionals, including renowned AI specialist Ashok Veda, who share valuable insights and real-world experience to enhance your learning journey.
  3. Flexible Learning Options: DataMites provides both online and on demand offline Artificial Intelligence courses in Shillong, with a conveniently located offline center for easy accessibility.
  4. Practical Project and Internships: Our Artificial Intelligence Courses in Shillong with internships, seamlessly combine academic learning with practical training.
  5. Placement Assistance: DataMites offers Artificial Intelligence courses in Shillong 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, guaranteeing an engaging and hands-on educational experience for students.

Phase 1: Pre-Course Self-Study

Students begin their learning journey with top-quality video tutorials and detailed study materials, building a solid foundation in artificial intelligence fundamentals.

Phase 2: Immersive Training

This phase consists of 20 hours of weekly training, spread over a three-month period. Learners can choose between live online sessions or offline artificial intelligence courses in Shillong. The curriculum integrates practical projects, expert guidance, and industry-focused content to provide a comprehensive and enriching learning experience.

Phase 3: Internship & Placement Assistance

Students complete 20 capstone projects and a client project, earning a distinguished internship certification. The DataMites Placement Assistance Team (PAT) provides personalized career support, helping students secure positions with top companies.

Comprehensive Artificial Intelligence Curriculum

Our Artificial Intelligence Engineer Courses in Shillong 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 encompasses a wide array 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 provides students with the essential knowledge and skills needed to excel in the fast-paced and continuously evolving field of artificial intelligence.

Additional AI Certifications from DataMites

  1. AI for Managers: A specialized course for business leaders, focusing on incorporating AI into strategic decision-making and improving operational efficiency.
  2. Certified NLP Expert: A program dedicated to Natural Language Processing, perfect for those interested in exploring AI's role in understanding and interpreting human language.
  3. Artificial Intelligence Expert: A course designed for beginners and intermediate data science professionals, offering a solid, career-focused foundation in AI.
  4. Artificial Intelligence Foundation: An introductory program that provides a comprehensive understanding of the core principles and concepts of AI.

DataMites Artificial Intelligence Course Tools in Shillong

In our Artificial Intelligence Training in Shillong, 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

Shillong’s Tech-Ready Future

The increasing popularity of AI-powered virtual assistants like Siri and Alexa signifies the growing integration of AI into our daily lives. With the global market for virtual assistants estimated to surpass $19 billion by 2025, it is evident that people are relying more on AI for personalized assistance.

Shillong is home to educational institutions like North-Eastern Hill University and is a growing hub for technology and education. The city offers a serene and conducive environment for individuals interested in pursuing Artificial Intelligence Certification in Shillong, with its blend of natural beauty, academic resources, and emerging opportunities in the field of technology.

In addition to artificial intelligence courses, DataMites offers training in machine learning, deep learning, Python, IoT, data engineering, MLOps, Tableau, data mining, Python for data science, data analytics, and data science.

ABOUT ARTIFICIAL INTELLIGENCE COURSE IN SHILLONG

Artificial Intelligence (AI) is a field within computer science that focuses on the development of intelligent machines capable of performing tasks that traditionally require human intelligence, such as problem-solving, decision-making, language understanding, and visual perception.

Instances of artificial intelligence in daily life include voice-activated virtual assistants like Siri, Alexa, and Google Assistant that utilize natural language processing. Additionally, personalized recommendations on streaming platforms and e-commerce websites employ AI algorithms to analyze user preferences and suggest relevant content or products.

A career in artificial intelligence typically requires a solid educational foundation in computer science, mathematics, or related fields. It is advantageous to hold a bachelor's or master's degree in computer science, artificial intelligence, machine learning, or data science. Proficiency in programming languages, algorithms, statistics, and machine learning concepts is also essential.

Artificial intelligence is a broader concept that encompasses the development of intelligent systems capable of simulating human-like intelligence. On the other hand, machine learning is a subset of artificial intelligence that focuses on algorithms and models enabling systems to learn from data and make predictions without explicit programming. In simpler terms, machine learning is a technique used to achieve artificial intelligence.

Artificial intelligence offers numerous advantages, including automation of repetitive tasks, enhanced efficiency and accuracy in data analysis, improved decision-making capabilities, and potential advancements in various industries. However, it also presents disadvantages such as potential job displacement, ethical concerns related to privacy and bias, and the possibility of errors or vulnerabilities in AI systems.

Prominent companies renowned for hiring professionals in artificial intelligence roles include Google, Microsoft, Amazon, Facebook, IBM, Apple, and Tesla. However, there are also opportunities in various industries such as healthcare, finance, and manufacturing, where companies actively seek AI talent.

To pursue a career in artificial intelligence, it is typically required to possess at least a bachelor's or master's degree in computer science, artificial intelligence, machine learning, or related fields. Strong knowledge of programming languages such as Python or Java, proficiency in algorithms and statistics, and understanding of machine learning and deep learning concepts are also advantageous.

To start an artificial intelligence career with no prior experience, one can begin by self-studying through online courses or tutorials focused on AI and machine learning. Building a portfolio of AI projects, participating in Kaggle competitions, gaining practical experience through internships or freelance work, networking with professionals, and joining AI communities are valuable steps towards entering the field.

The AI Expert Course in Shillong is an advanced-level program that delves into advanced AI algorithms, cutting-edge research, emerging trends, and complex applications. It often includes specialized modules or tracks in areas such as deep learning, computer vision, natural language processing, or reinforcement learning. The course aims to enhance participants' expertise and prepare them for challenging AI projects and roles.

Transitioning into an artificial intelligence career from a different field involves acquiring relevant skills and knowledge through self-study, online courses, or specialized AI training programs. Building a strong AI portfolio, participating in AI projects or competitions, networking with professionals in the field, and seeking internships or entry-level positions can facilitate the transition. Leveraging transferable skills from the previous field and staying updated with the latest advancements are also important for a successful transition.

To prepare for AI job interviews and technical assessments, individuals should focus on developing a strong understanding of AI concepts, mastering programming languages and frameworks commonly used in AI, practicing implementing AI algorithms and models, staying updated with the latest advancements in the field, solving AI-related coding problems, and honing their communication skills to effectively articulate their knowledge and ideas.

The future prospects of AI in the job market are highly promising. AI is experiencing rapid growth and is expected to transform various industries, creating a significant demand for AI professionals. As AI continues to advance, it will likely generate new job roles and opportunities. Professionals with AI expertise can expect a wide range of career possibilities and the chance to contribute to groundbreaking developments in the field.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN SHILLONG

Individuals have various avenues to gain knowledge in Artificial Intelligence, such as 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.

DataMites is a preferred option for Artificial Intelligence Training in Shillong due to its comprehensive curriculum, experienced instructors, practical approach, flexible learning options, and placement assistance. The curriculum covers various AI concepts and techniques, and participants gain hands-on experience through projects and real-world applications. Experienced instructors provide valuable guidance, and flexible learning options cater to different schedules. Additionally, DataMites offers placement assistance to connect participants with job opportunities in the AI field.

DataMites offers certifications in Shillong 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 Shillong offered by DataMites varies depending on the specific course chosen, ranging from one month to a year. Flexible training options are available on both weekdays and weekends.

The AI Engineer Course offered by DataMites in Shillong aims to equip individuals with the skills and knowledge required to become proficient AI engineers. The course covers machine learning, deep learning, natural language processing, computer vision, and AI deployment techniques. Practical projects and case studies enable participants to gain hands-on experience in building and deploying AI models for real-world scenarios.

The Certified NLP Expert course offered by DataMites in Shillong focuses on developing skills and applications in Natural Language Processing (NLP). The course covers text preprocessing, sentiment analysis, named entity recognition, topic modeling, language generation, and neural network-based NLP models. Participants are trained in NLP techniques and applications to solve real-world problems using NLP algorithms and models.

The fee for the Artificial Intelligence Training program at DataMites in Shillong varies based on the specific course and duration. Generally, the fee ranges from INR 60,795 to INR 154,000 for the Artificial Intelligence course in Shillong.

The AI Foundation Course provided by DataMites in Shillong offers a comprehensive introduction to AI, covering 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. The course aims to provide participants with a solid foundation in AI concepts and techniques, preparing them for specialization or practical AI projects.

The AI for Managers Course provided by DataMites in Shillong covers 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.

Enrollment in an Artificial Intelligence Certification Training in Shillong is generally open to individuals with an interest in pursuing a career in Artificial Intelligence, without strict prerequisites in terms of educational background or prior experience.

The average salary for an Artificial Intelligence Engineer in Shillong 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 Shillong.

In case of inability to attend a session during the Artificial Intelligence training at DataMites in Shillong, 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 Shillong. 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.

DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities to candidates who successfully complete the Artificial Intelligence course. The PAT offers support in various aspects of the job search process, including job connections, resume creation, conducting mock interviews, and facilitating discussions on interview questions. The aim is to assist participants in securing employment opportunities in the field of Artificial Intelligence by providing guidance and resources throughout the placement process.

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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