Xtreme AI Programming
₹ ₹120,000.00
₹94,000.00
/-
Overview
Curriculum
- 6 Sections
- 90 Lessons
- 52 Weeks
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- Automation15
- 1.1Automation in Modern Industries
- 1.2Fixed, Programmable & Flexible
- 1.3Control Systems and PLCs
- 1.4Sensors and Actuators in Automation
- 1.5Robotics and Automated Systems
- 1.6Automation in Manufacturing
- 1.7Process Automation : MPC & PID Control
- 1.8Software Automation Tools
- 1.9Robotics Process Automation (RPA)
- 1.10Automation in Cloud and DevOps
- 1.11Networking and Automation Protocols
- 1.12Ethical considerations in Automation
- 1.13Home & Hospitalities Automations
- 1.14Future Trends in Automation
- 1.15Robots & CoBots: The Dual
- Data Science15
- 2.1Introduction to Data Science
- 2.2Data Collection and Data Wrangling
- 2.3Exploratory Data Analysis (EDA)
- 2.4Principles of Data Visualization
- 2.5Probability Theory and Statistics
- 2.6Tokenization & Stemming
- 2.7Text Classification & Sentiment Analysis
- 2.8Time Series Models: MAPE, RMSE, MAE
- 2.9Data Engineering Basics: ETL
- 2.10Database systems: SQL and NoSQL
- 2.11Big Data and Distributed Computing
- 2.12Model Deployment and Production
- 2.13Algorithms in Machine Learning
- 2.14Working Large Datasets: PySpark
- 2.15Real World Problem Solving with DS
- Machine Learning15
- 3.1Introduction to Machine Learning
- 3.2Linear Algebra and Calculus for ML
- 3.3Exploratory Data Analysis (EDA)
- 3.4Supervised Learning: Regression
- 3.5Supervised Learning: Classification
- 3.6Neural Networks: Percept & Activate
- 3.7Advanced NLP Techniques: ChatBots
- 3.8Train-Test Split and Cross-Validation
- 3.9Q-Learning and Deep Q-Networks (DQN)
- 3.10Neural Networks for Time Series
- 3.11Techniques for Detecting Anomalies
- 3.12Feature Engineering and Selection
- 3.13Model Deployment Strategies
- 3.14Ethical Considerations in ML
- 3.15Real-World Machine Learning
- Artificial Intelligence15
- 4.1Introduction to Artificial Intelligence
- 4.2Semantic Networks and Ontologies
- 4.3Genetic & Evolutionary Algorithms
- 4.4Sensors, Vision & Object Detection
- 4.5Computer Vision: Mask R-CNN, U-Net
- 4.6Case Studies: MYCIN, DENDRAL
- 4.7Al: Causes, Effects & Solutions
- 4.8Al-Driven Data Mining Techniques
- 4.9Al for Healthcare: Predictive Analytics
- 4.10Al for Genomics and Bioinformatics
- 4.11Al for Trading & Fraud Detection
- 4.12Al Autonomous: Vehicles & Robots
- 4.13Al for Simulating Human Cognition
- 4.14Future of Internet of Things & Al
- 4.15Al Tools & Platform Frameworks
- Cyber Security15
- 5.1Introduction to Cyber Security
- 5.2Encryption and Cryptography
- 5.3Authentication and Access Control
- 5.4Web Application Firewalls (WAF)
- 5.5Ethical Hacking & Penetration Testing
- 5.6Cyber Forensics: Digital Evidence
- 5.7Scanning Tools: Nessus & OpenVAS
- 5.8Cloud Security Solutions: CASBs
- 5.9Internet of Things (loT) Security
- 5.10Risk Management and Governance
- 5.11Phishing, Pretexting, Baiting & Tailgating
- 5.12Cybersecurity Frameworks & Standards
- 5.13Data Privacy and Protection: GDPR
- 5.14CyberSecurity Laws and Ethics
- 5.15Vulnerability Scan & Penetration Test
- Block Chains15
- 6.1Cryptography: Hash, Encrypt & Decrypt
- 6.2Consensus Mechanisms: Proof of Work
- 6.3Blockchain Platforms and Ecosystems
- 6.4Basics of Crypto Mining: How It Works
- 6.5Crypto Mining Difficulty & Adjustment
- 6.6Security in Blockchain & Crypto’s
- 6.7Hyperledger and Private Blockchain
- 6.8NFTs – Non-Fungible Tokens
- 6.9NFT Creation and Minting Process
- 6.10NFT Marketplaces & Ecosystem
- 6.11NFTs in Art and Digital Content
- 6.12NFTs in Gaming and Virtual Worlds
- 6.13Smart Contracts & DeFi (DEXs)
- 6.14Legal, Regulatory & Ethical Issues
- 6.15Blockchain Scaling Solutions
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₹ ₹120,000.00
₹94,000.00
/-