Graduate Program in emerging technologies
Prepare for the new world of emerging Technologies through a sound understanding of the fundamentals in Full Stack Development, Cyber Security, AI , Machine Learning and Data Science & Blockchain
Success and What’s in there for you?
Full stack development
Learn the power of computing and how does productivity increases when everything is interconnected
data science & machine learning
The next big thing when in the world of technology. Data need not be on land but up in the cloud
blockchain & CYBER SECURITY
Humans made robots, now is the time to unleash their full potential with Artificial Intelligence
Garner Success Like Never Before
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A powerful program that can give you solid footing into the New world empowered by Emerging Technologies
AMITENDRA SRIVASTAVA – Data Science & Machine Learning
Top AI/ML trainer with NPS of 100 across multiple batches which includes foreign universities like Purdue University (USA). He is currently leading the data science team for devising and implementing cutting edge deep learning/machine learning solutions. He is directly responsible for building the Products that demonstrate the Applied AI/ML Capabilities for Enterprise. Focus on building enterprise-class AI products for our clients. Specialties: Machine Learning and Artificial Intelligence, Leadership Skills.
ASHISH KUMAR – Blockchain for Developer
Ashish is a Blockchain Evangelist. Material Management Professional (BE Mech + MBA) with SAP MM ERP EHP6 module certification. Blockchain (Ethereum / Hyperledger fabric, smart contracts) certified professional. He has 22 years’ rich experience in managing complete areas of Vendor Development, Supply Chain Management, Procurement, Imports, Cost finalization, Logistics, Facility Management. He has trained hundreds of students across the globe in Blockchain and consulted with several companies in implementing Blockchain & NFT projects.
SAJITH INDRA
- Cyber Security and R Programming
Decode the problem. Design the Solution. Develop the Product. This is the Motto of Sajith Indra, an expert in Industry 4.0 domains like Blockchain, Cyber Security, Artificial Intelligence, Big Data and Quantum computing. A computer science graduate and is actively taking part in several Digital Transformation projects.
Your Gateway To Success At Unimagined Levels
COURSE CURRICULUM
- Web design Fundamentals- Part 1
- Web design Fundamentals - Part 2
- Web design Fundamentals - Part 3
- Web Design - Part 1
- Web design Part 2
- Web Design Part 3.1
- Web Design Part 3.2
- Web Design Part 4.1
- Web Design Part 4.2
- Web Design Part 5.1
- Web Design Part 5.2
- Web design Part 6
- Web design - Part 7
- Web design Part 8
- HTML Part 1
- HTML Part 2
- HTML part 3
- HTML Part 4
- HTML Part 5
- HTML Part 6
- HTML Part 7
- CSS Intro
- CSS Part 1
- CSS Part 2
- CSS part 3
- CSS Part 4
- CSS Part 5
- CSS Part 6
- CSS Part 7
- CSS Part 8
- CSS Part 9
- CSS Part 10
- CSS Part 11
- Module 1: Cyber security Introduction & basic skills
- Module 1: Security Operations centre- Network operation centre
- Module 1: Python code for encryption
- Module 1: Python code for Hashing
- Module 2: Cyber Security Policies- Introduction
- Module 2: Cybersecurity Policy -part 2
- Module 2: Cybersecurity Policy -part 3
- Module 2: Cybersecurity Policy -part 4
- Module 2: Cybersecurity Policy -part 5
- Module 2: Cybersecurity Policy -part 6
- Module 2: Cybersecurity Policy -part 7
- Module 2: Cybersecurity Policy -part 8
- Module 3- Network security
- Module 3- OSI Reference layers
- Module 3- OSI Reference layers-contd.
- Module 3: Network Management
- Module 3: Network Segmentation
- Module 3: VPN Basics
- Untitled Chapter
- Module 3: Data Loss Prevention
- Module 3: Network Security Audit
- Module 3: NOC Monitoring
- Module 4: Data Security
- Module 4: Network Security
- Module 4: Mobile Device Security
- Module 4: Penetration Testing
- Module 4: Source Code Review
- Module 4:: Secure Code Review Process
- Module 1- Introduction to Data Science
- Module1 - Data Science- Numpy and Pandas
- Module 1- Python Basics part 1
- Module 1- Python Basics part 2
- Module 1: Basic Statistics and Maths for Data Science
- Module 1: Data Science- Exploratory Data Analysis- EDA
- Module 1- Introduction to AI & Machine Leaning
- Module 2: Machine Learning - Machine Learning Recap & Algorithms
- Module 2: Machine Learning Data Visualization, Matpotlip and Seaborn
- Module 2: Machine Learning-Linear Algebra & Python
- Module 2: Machine Learning Environment Setup
- Machine Learning- Numpy & Python
- Machine Learning- Supervised Learnng-Classification
- Machine Learning- Supervised Learning- Regression
- Machine Learning- Unsupervised Learning- KMeans Clustering
- Machine Learning- Deep Learning
- Machine Learning- NLP
- Module 1: Introduction to Blockchain Applications course
- Module 1: What is Blockchain
- Module 1: Byzantine General Problem
- Module 1: Gartner Hype Cycle
- Module 1: Why Blockchain?
- Module 1: Mining
- Module 1: Transaction Life cycle
- Module 1: Types of Networks
- Module 2: Introduction to Blockchain concepts
- Module 2: Cryptography and Hashing
- Module 2: Block number and Merkle Trees
- Module 2: Mining
- Module 2: Forks in Blockchain
- Module 3: Intro to Blockchain Networks and Crypto currencies
- Module 3: Double spending problem
- Module 3: Consensus
- Module 3: Cryptocurrencies
- Module 4:
- Module 4: What is Smart Contract
- Module 4: Solidity Gas overview
- Module 4: Smart Contract in action
- Module 4: Types of Blockchain
- Module 4: Application of Blockchain
- Module 4: Bitcoin Core
- Module 4: Wallets in Blockchain
- Module 5: Blockchain Projects- Medical Records and Voting
- Module 5: Blockchain Project- Health care records
- Blockchain Projects: Voting
- Introduction to R
- R Studio Installation
- R - Operators and Vectors
- R - Functions and Packages
- R- User Defined Functions
- R - Calling Functions
- R- Data Structures
- R2- Arrays
- Untitled Chapter
- R4- Programmomg Continued
- R 5- Dataframes & Conclusion