Skill Mastery Pack - Subscription
Unlock your tech potential with the Skill Mastery Pack – a comprehensive all-in-one program covering full stack development, AI/ML, cybersecurity, AR/VR, UI/UX, digital marketing, and more. Designed to build real-world skills with hands-on projects and expert guidance, this pack prepares you for top tech careers and placements.
₹10000.00 ₹20000.00 50% OFF
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Course Overview
🚀Skill Mastery Pack (All-in-One Career Accelerator)
📦 Everything You Need to Succeed – In One Powerful Learning Pack
The Skill Mastery Pack by EduTantr is your all-access gateway to mastering the most in-demand technologies and career-ready skills across industries. Whether you're aiming for a job in software, design, data, security, or innovation — this pack equips you with practical, project-based training and industry mentorship to thrive.
✅ What’s Included
- 💻 Full Stack Web Development
Build responsive, dynamic websites and web apps using HTML, CSS, JavaScript, React, Node.js, and MongoDB. - 🤖 Artificial Intelligence (AI)
Understand core concepts, ethical implications, neural networks, expert systems, and NLP, with practical applications across healthcare, finance, and customer engagement. - 🧠 Machine Learning
Gain hands-on experience in supervised, unsupervised, and reinforcement learning, explore key algorithms like regression, decision trees, and clustering, and build predictive models using Python and Scikit-learn on real datasets. - 📊 Business Analytics with Power BI & SQL
Learn to extract, manipulate, and visualize data with SQL and Power BI, understand key metrics and KPIs, and turn insights into strategic business decisions through powerful dashboards and storytelling. -
🎨 UI/UX Design with Figma
Master intuitive design, user research, prototyping, and portfolio creation using industry tools like Figma. -
📣 Digital Marketing
Learn SEO, social media marketing, content strategy, email campaigns, and marketing analytics. -
🕶️ AR/VR & 3D Modeling
Create immersive experiences using Blender and apply them in aerospace, architecture, healthcare, and education. -
🔐 Cybersecurity
Understand ethical hacking, threat analysis, cryptography, firewalls, and laws like GDPR to secure systems and data. -
🧠 Machine Learning
Dive into Python-based ML, model building, supervised/unsupervised learning, and real-world data science applications. -
☁️ Cloud Computing (AWS, Azure, GCP)
Get certified-ready with cloud fundamentals, deployment, serverless computing, and storage from top 3 providers. -
⚙️ Embedded Systems
Work with 8051, ARM7, PIC, and India’s Glyph C6 microcontrollers using C and Arduino for real-world hardware projects. -
🔩 VLSI Design
Learn CMOS circuit design, logic gates, low-power strategies, FPGA-based implementation, and design verification. -
🧪 Software Testing & Automation
Train with Tosca, Opkey, and Selenium to automate testing pipelines and boost software reliability and speed. -
🎓 Placement Readiness Program
Resume building, aptitude, soft skills, mock interviews, and domain-specific guidance to land your dream job.
🌟 Why Choose the Skill Mastery Pack?
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🔧 Hands-on projects for every course
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🎓 Industry-recognized certifications
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💬 Expert mentorship & career support
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🧩 Modular learning – go at your own pace
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🚀 One subscription, infinite possibilities
Schedule of Classes
Course Curriculum
17 Subjects
Placement Classes
6 Learning Materials
Resume Building
RESUME - A PRINTED COPY OF YOU
GROUP DISCUSSION
GD - Part 1
MOCK TEST/INTERVIEW
Mock Test / Interview - Part 1
PORTFOLIO BUILDING !
Portfolio - Part 1
TOP COMPANIES & RECRUITMENT TRENDS
RECRUITMENT - Part 1
PLACEMENT STRATEGY
Strategy - Part 1
Cyber Security
17 Learning Materials
INTRODUCTION
GETTING STARTED
NETWORK BASICS
NETWORKING FUNDAMENTALS
NETWORKING
CYBER SECURITY
FUNDAMENTALS OF CYBERSECURITY
INTRODUCTION OF CYBER SECURITY
INFORMATION SECURITY
CIA TRIAD
CRYPTOGRAPHY
CRYPTOGRAPHY
ENUMERATION
LINUX
FOOT PRINTING
INTRODUCTION TO KALI LINUX
KALI LINUX COMMANDS
INSTALLATION PART - 1
INSTALLATION PART - 2
LINUX FILE SYSTEM AND TEXT MANAGEMENT
LINUX GATHERING INFORMATION
HACKING
ETHICAL HACKING
WINDOWS HACKING & SECURITY
APP DEVELOPMENT
10 Learning Materials
INTRODUCTION
MODULE 1
INSTALLATION
MODULE 2
STRUCTURE OF ANDROID STUDIO
MODULE 3
BASICS OF FLUTTER
MODULE 4
MODULE 5
MODULE 6
FIREBASE CONNECTION
FIREBASE
FLUTTER ANIMATIONS
ANIMATIONS
STATE MANAGEMENT & TESTING
STATE MANAGEMENT & TESTING
BASIC APP
BASIC APP
AR VR
11 Learning Materials
Session 1
Blender Module 1 = Interface , 3D Fundamentals & ShortCuts
Session 2
Blender Module2 - Basics of 3D Modeling
Session 3
2D to 3D
Blender Module 3 Modelling a House.
Live Class Blenderkit and Marketplace
Session 4
360 VR Rendering Blender
Session 5
Interior 360 VR Experience
Session 6 - AR Lens Studio
Workshop Part 2 - Lens Studio AR
Workshop Part 1 - Intro, 3D Modelling & VR 360 Output
Session 7 : Animation AR
Session 8 - AR Food AR Filter
Workshop FOOD AR Part 2
Workshop FOOD AR Part 1
Artificial intelligence
29 Learning Materials
GETTING STARTED
INTRODUCTION
REAL TIME EXAMPLES
TERMS IN AI
DATA PRE-PROCESSING, NUMPY & PANDAS
DATA
TOOLS & TECHNOLOGIES
DATA
DATA CLEANING
EDA
CORRELATION
FEATURE SELECTION and EXTRACTION
MATPLOTLIB
MATPLOTLIB - PART 1
MATPLOTLIB - PART 2
MATPLOTLIB 3
SUPERVISED LEARNING
LINEAR REGRESSION & LOGISTIC REGRESSION
K - NEAREST NEIGHBOUR (KNN)
PRACTICAL IMPLEMENTATION OF MODELS
SVM
RANDOM FOREST CLASSIFIER
UNSUPERVISED LEARNING
K MEANS & HIERARCHICAL CLUSTERING
CLUSTERING
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
TENSOR FLOW & KERAS
DEEP LEARNING
DL 1
DL 2
NATURAL LANGUAGE PROCESSING
NLP TECHNIQUES & METHODS
COMPUTER VISION
COMPUTER VISION - OPENCV
CHATBOT USING AI
ChatBot
DOCUMENT INTELLIGENCE
Document Intelligence
NLP CERTIFICATION - CHALLENGE
NLP CERTIFICATION
Web Full stack
26 Learning Materials
GETTING STARTED
INTRODUCTION
HTML - PART 1
CSS - PART 1
HTML - PART 2
CSS - PART 2
JAVA SCRIPT
JAVASCRIPT - PART 1 (INTRODUCTION)
JAVASCRIPT - PART 2 (BASICS)
JAVASCRIPT - PART 3 (FUNCTIONS)
JAVASCRIPT - PART 4 (ARROW FUNCTIONS)
JAVASCRIPT - PART 5 (DOM - I)
JAVASCRIPT - PART 6 (DOM - II)
FRONT-END
TO-DO LIST (HTML, CSS & JAVASCRIPT) - PART 1
TO-DO LIST (HTML, CSS & JAVASCRIPT) - PART 2
REACTJS PART 1
REACTJS PART 2
REACTJS PART 3
REACTJS PART 4
WEB PAGE (HTML & CSS)
BACK-END
SQL PART 1
SQL PART 2
NO SQL
MONGO DB
NODEJS API - PART 1
NODEJS API - PART 2
MERN
MERN - PART 1
MERN - PART 2
Digital marketing
9 Learning Materials
GETTING STARTED
BASICS OF DIGITAL MARKETING
EMAIL MARKETING & MOBILE MARKETING
MARKETING
UNDERSTANDING THE SOCIAL MEDIA MARKETING
METRICS IN DIGITAL MARKETING
BASICS - METRICS IN DIGITAL MARKETING
CONTENT MARKETING
CONTENT MARKETING
CONTENT DRAFTING
MOD 1
MOD 2
META BUSINESS SUITE & META ADS
INTRODUCTION
Meta Business Suite and Meta Ads Manager
UI/UX
15 Learning Materials
MOD 1
1.1 Introduction to the Course
1.2 Introduction to UI Design
1.3 Introduction to UX Design
MOD 2
2.1 Download Figma and Login
2.2 Overview of Figma
2.3 Community in Figma
2.4 Figma Project Workspace and tools
2.5 Plugins
2.6 Components in Figma
2.7 Variants in Components
2.8 Interactions in Figma
MOD 3
3.1
3.2
3.3
3.4
Embedded
17 Learning Materials
GETTING STARTED
INTRODUCTION
PROGRAMS
PROGRAM FOR ONE LED BLINKING
MACHINE CYCLE OF 8051 & 3 LED BLINKING
INTERFACING SEVEN SEGMENT
INTERFACING LCD WITH 8051
INTERFACING LED WITH SWITCH
PIC - MICRO CONTROLLER
PIC18F4550 WATC DOG TIMER AND INTERFACING 7SEG & LCD IN 8051
PIC
PIC 2
ARM
ARM
ARM 2
PROGRAMS
PROGRAMS 2
PROGRAMS 3
PROGRAMS 4
PROGRAMS 5
VLSI
22 Learning Materials
GETTING STARTED
VLSI BASICS & VHDL PROGRAM STRUCTURE
SEMICONDUCTORS
SEMICONDUCTORS
MOS CAPACITOR & ALTERA QUARTUS DEMO
DEMO
LOGIC GATES
LOGIC GATES
HOW TO DESIGN A LOGIC GATE IN PROTEUS
NOT GATE IN ALTERA QUARTUS
RTL VIEWER FOR MULTIPLEXER IN QUARTUS
ADDER
VLSI DESIGN PROCESS
DF & VLSI DESIGN PROCESS
DESIGN PROCESS
ANALOG DESIGN
INTRODUCTION TO ANALOG IC DESIGN
AMPLIFER
OPERATIONAL AMPLIFER
HDL & M10 FPGA
HDL M10
M10 FPGA
M8 VLSI FRONT END & BACK END DESIGN
M8ASIC DESIGN & FLOW
M8ASIC DESIGN & FLOW
DIGITAL DESIGN VERIFICATION & TEST FLOW
ATPG & VERIFICATION
ATPG
VERIFICATION
MANUFACTURING, 9525, DDV & TF
MANUFARCTURABILITY
9525
DDV & TF
Cloud Computing
21 Learning Materials
GETTING STARTED
INTRODUCTION
CLOUD STORAGE
CAPEX vs OPEX
SCALING & CONTAINERS
CLOUD ARCHITECTURE
CLOUD ARCHITECTURE - PART 1
CLOUD ARCHITECTURE - PART 2
CLOUD ARCHITECTURE - PART 3
CLOUD ARCHITECTURE - PART 4
CLOUD ROLES
ROLES & RESPONSIBILITIES
SCALING & LOAD BALANCING
SCALING & LOAD BALANCING
LOAD BALANCING & INSTANCES IN AWS
AZURE
AZURE - AN OVERVIEW
AWS
AWS 1
AWS 2
AWS 3
AWS 4
AWS 5
AWS 6
AWS 7
AWS 8
DATA BASE
DB 1
DB 2
Machine Learning
27 Learning Materials
GETTING STARTED
INTRODUCTION
REAL TIME EXAMPLES
TERMS IN ML
DATA PRE-PROCESSING, NUMPY & PANDAS
TOOLS & TECHNOLOGIES
DATA
DATA
DATA CLEANING
EDA
FEATURE SELECTION and EXTRACTION
CORRELATION
MATPLOTLIB
MATPLOTLIB - PART 1
MATPLOTLIB - PART 2
MATPLOTLIB 3
SUPERVISED LEARNING
LINEAR REGRESSION & LOGISTIC REGRESSION
K - NEAREST NEIGHBOUR (KNN)
PRACTICAL IMPLEMENTATION OF MODELS
SVM
RANDOM FOREST CLASSIFIER
UNSUPERVISED LEARNING
UNSUPERVISED LEARNING - (CLUSTERING - METHODS & MODELS)
CLUSTERING
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
TENSOR FLOW & KERAS
DEEP LEARNING
DL 1
DL 2
NATURAL LANGUAGE PROCESSING
NLP TECHNIQUES & METHODS
COMPUTER VISION
COMPUTER VISION - OPENCV
CHATBOT PROJECT
CHATBOT
Software Testing
10 Learning Materials
INTRODUCTION
SOFTWARE TESTING - CLASS 1
SOFTWARE TESTING
SOFTWARE TESTING - MODULE 2
SOFTWARE TESTING - MODULE 3
SOFTWARE TESTING - MODULE 4
SOFTWARE TESTING - MODULE 5
SOFTWARE TESTING - MODULE 6
SOFTWARE TESTING - MODULE 7
SOFTWARE TESTING - MODULE 8
SOFTWARE TESTING - MODULE 9
SOFTWARE TESTING - MODULE 10
Finance and Tally
14 Learning Materials
INTRODUCTION
TALLY & ACCOUNTING - INTRODUCTION
TALLY & ACCOUNTING - PART - 2
TALLY & ACCOUNTING
TALLY & ACCOUNTING - CLASS 2
TALLY & ACCOUNTING - CLASS 3
TALLY & ACCOUNTING - CLASS 4
TALLY & ACCOUNTING - CLASS 5
TALLY & ACCOUNTING - CLASS 6
TALLY & ACCOUNTING - CLASS 7
TALLY & ACCOUNTING - CLASS 8
TALLY & ACCOUNTING - CLASS 9
TALLY & ACCOUNTING - CLASS 10
TALLY & ACCOUNTING - CLASS 11
TALLY & ACCOUNTING - CLASS 12
TALLY & ACCOUNTING - CLASS 13
Module 1: Introduction to HRM
1 Exercises • 28 Learning Materials
Session 1: Getting Started
1.1 Introduction
1.2 Ethics and confidentiality
1.3 HR Metrics and Performance Indicators
1. 4 Assignemnt - Case Study
Introduction.pptx
Ethics and confidentiality.pptx
HR Metrics and performance indicators.pptx
Session 2: Sourcing and Attracting Talent
2.1 Recruitment
2.2 Selection, Internview & JD
2.3 Employer Branding
2.4 Social Media and job portals
2.5 Assignment 2 - Job Description
Session 3: Screening, Background Verification, and Onboarding Process
3.1 Screening and Shortlisting Theory
3.2 Screening and Shortlisting Theory
3.3 Interview and Onboarding Form
Session 4: Employee Records Management
4.1 Emloyee records
4.2 Attendance
4.3 Payroll and complience
4.3 Presentation
4.4 Data Security and Comfidentiality
Session 5: Company Policies and Compliance
5.1 Company Policies and compliance
Session 6: Compensation Structure, Incentives, and Benefits Management
6.1 Compensation Structure
6.2 Bonus and Incentives
Session 7: Professional and Employee Tax, Provident Fund, and Compliance
7.1 Employee Tax and compliance
HR Assignment 1
Employee Tax Calculation and Compliance Notes
Session 8: Employee Training, Development, and Reinforcement
8.1 Training Needs Assessment
8.2 Training Needs Assessment - 2
8.3 Designing Effective Training Programs (1)
Formatting Charts
26 Learning Materials
OVERVIEW
DATA ANALYST OVERVIEW
POWER BI OVERVIEW
POWER BI - BASICS
POWER BI - A WALKTHROUGH
CREATING BASIC CHARTS - PART 1
CREATING BASIC CHARTS - PART 2
File for Hands-on
POWER BI - INTERMEDIATE
POWER BI - FUNCTIONS
FORMATTING CHARTS
POWER QUERY EDITOR
POWER BI - ADVANCED
DAX
SQL
SQL - INTRODUCTION
DDL & DML
CONSTRAINTS
SQL KEYWORDS
SUB QUERY, JOINS, DATA & TIME MANIPULATION
SQL Introduction - Document
PYTHON
PYTHON INTRODUCTION
NUMPY
PANDAS
PROJECTS
MINI PROJECT - AIRLINE ANALYSIS
MINI PROJECT - EMPLOYEE ATTIRATION
WALMART - PROJECT
Dataset - Airline Analysis
Dataset - Walmart
Dataset - Employee Attiration
GITHUB PORTFOLIO
CREATING GITHUB PORTFOLIO
Module 1: Data Fundamentals
30 Learning Materials
Session 1: Getting Started
INTRODUCTION
TOOLS & TECHNOLOGIES
WHAT IS DATA
DATA PRE-PROCESSING
TERMS IN DS
REAL TIME EXAMPLES
DATA PRE PROCESSING AND NUMPY AND PANDAS
DATA
DATA VISUALISATION
EXPLORATORY DATA ANALYSIS
DATA VISUALISATION TECHNIQUES
CORRELATION
MATPLOTLIB - PART 1
MATPLOTLIB - PART 2
MODELING 1
SUPERVISED LEARNING - (REGRESSION & CLASSIFICATION)
UNSUPERVISED LEARNING - (CLUSTERING - METHODS & MODELS)
LINEAR & LOGISTIC REGRESSION
KNN
CODING
MODELING 2
FEATURE SELECTION & CAREGORICAL VARIABLES
LINEAR REGRESSION
LOGISTIC REGRESSION
K - NEAREST NEIGHBOUR (KNN)
SUPPORT VECTOR MACHINE (SVM)
DEEP LEARNING
RANDOM FOREST CLASSIFIER
DL - DEEP LEARNING - PART 1
DL - DEEP LEARNING - PART 2
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
DIMENSIONALITY REDUCTION & NEURAL NETWORKS
TENSOR FLOW, NLP & CV
TENSOR FLOW & KERAS
NLP TECHNIQUES & METHODS
CV
Course Instructor
Vinoth.cto
18 Courses • 2124 Students
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