Xtreme AI Programming

AI programming involves creating algorithms and models that enable machines to perform tasks typically requiring human intelligence, such as understanding language, recognizing patterns, and making decisions.

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What You'll Learn

  • Frameworks and Libraries
  • Data Quality
  • Model Types
  • Ethics and Bias
  • Iterative Improvement
  • Security
  • Artificial Intelligence
  • BlockChains

Course Outline

  • Automation in Modern Industries
  • Fixed, Programmable & Flexible
  • Control Systems and PLCs
  • Sensors and Actuators in Automation
  • Robotics and Automated Systems
  • Automation in Manufacturing
  • Process Automation: MPC & PID Control
  • Software Automations Tools
  • Robotics Process Automation (RPA)
  • Automation in Cloud and DevOps
  • Networking and Automation Protocols
  • Ethical considerations in Automation
  • Home & Hospitalities Automations
  • Future Trends in Automation
  • Robots & CoBots: The Dual
  • Introduction to Data Science
  • Data Collection and Data Wrangling
  • Exploratory Data Analysis (EDA)
  • Principles of Data Visualization
  • Probability Theory and Statistics
  • Tokenization & Stemming
  • Text Classification & Sentiment Analysis
  • Time Series Models: MAPE, RMSE, MAE
  • Data Engineering Basics: ETL
  • Database systems: SQL and NoSQL
  • Big Data and Distributed Computing
  • Model Deployment and Production
  • Algorithms in Machine Learning
  • Working Large Datasets: PySpark
  • Real World Problem Solving with DS
  • Introduction to Machine Learning
  • Linear Algebra and Calculus for ML
  • Exploratory Data Analysis (EDA)
  • Supervised Learning: Regression
  • Supervised Learning: Classification
  • Neural Networks: Percept & Activate
  • Advanced NLP Techniques: ChatBots
  • Train-Test Split and Cross-Validation
  • Q-Learning and Deep Q-Networks (DQN)
  • Neural Networks for Time Series
  • Techniques for Detecting Anomalies
  • Feature Engineering and Selection
  • Model Deployment Strategies
  • Ethical Considerations in ML
  • Real-World Machine Learning
  • Introduction to Artificial Intelligence
  • Semantic Networks and Ontologies
  • Genetic & Evolutionary Algorithms
  • Sensors, Vision & Object Detection
  • Computer Vision: Mask R-CNN, U-Net
  • Case Studies: MYCIN, DENDRAL
  • AI: Causes, Effects & Solutions
  • AI-Driven Data Mining Techniques
  • AI for Healthcare: Predictive Analytics
  • AI for Genomics and Bioinformatics
  • AI for Trading & Fraud Detection
  • AI Autonomous: Vehicles & Robots
  • AI for Simulating Human Cognition
  • Future of Internet of Things & AI
  • AI Tools & Platform Frameworks
  • Introduction to Cyber Security
  • Encryption and Cryptography
  • Authentication and Access Control
  • Web Application Firewalls (WAF)
  • Ethical Hacking & Penetration Testing
  • Cyber Forensics: Digital Evidence
  • Scanning Tools: Nessus & OpenVAS
  • Cloud Security Solutions: CASBs
  • Internet of Things (IoT) Security
  • Risk Management and Governance
  • Phishing, Pretexting, Baiting & Tailgating
  • Cybersecurity Frameworks & Standards
  • Data Privacy and Protection: GDPR
  • CyberSecurity Laws and Ethics
  • Vulnerability Scan & Penetration Test
  • Cryptography: Hash, Encrypt & Decrypt
  • Consensus Mechanisms: Proof of Work
  • Blockchain Platforms and Ecosystems
  • Basics of Crypto Mining: How It Works
  • Crypto Mining Difficulty & Adjustment
  • Security in Blockchain & Crypto’s
  • Hyperledger and Private Blockchain
  • NFTs – Non-Fungible Tokens
  • NFT Creation and Minting Process
  • NFT Marketplaces & Ecosystem
  • NFTs in Art and Digital Content
  • NFTs in Gaming and Virtual Worlds
  • Smart Contracts & DeFi (DEXs)
  • Legal, Regulatory & Ethical Issues
  • Blockchain Scaling Solutions

Course Description

AI Programming Course provides a foundational introduction to AI programming, perfect for beginners and those eager to enhance their understanding of artificial intelligence. Participants will explore key concepts such as machine learning, neural networks, and natural language processing through engaging lectures and hands-on projects. The course begins with Python programming basics, focusing on data manipulation, which is essential for AI development.

As students advance, they will learn about supervised and unsupervised learning techniques, gaining practical experience in building and evaluating models using popular frameworks like TensorFlow and PyTorch. The curriculum includes an introduction to deep learning, enabling learners to understand neural network architecture and its applications in real-world scenarios, such as image and speech recognition.

Ethical considerations are integrated throughout the course, prompting critical discussions about bias, privacy, and the societal impacts of AI technologies. By the end of the course, participants will have developed practical skills in designing and implementing AI solutions, preparing them for further study or careers in this rapidly evolving field, while also fostering a responsible approach to AI development.

 

Course Outcomes

Xtreme AI programming offers a comprehensive curriculum that covers all aspects of web development, including design, programming, server management, and security. Students will gain the skills and knowledge needed to build high-quality websites and web applications from start to finish.

Xtreme AI PROGRAMMING is a hands-on course that provides students with real-world experience working with a variety of web development tools, frameworks, and programming languages. This practical experience helps students to develop confidence and proficiency in their skills.

Develop and optimize algorithms for predictive modeling and data analysis, working with large datasets to improve machine learning systems.

Xtreme AI Programming also provides an opportunity for students to express their creativity and design skills by creating visually stunning and engaging websites and web applications. This aspect of the course is particularly appealing to students who are interested in pursuing a career in web design.

The Xtreme AI programming course is designed to be flexible, allowing students to learn at their own pace and on their own schedule. This makes it ideal for busy professionals who want to learn new skills while maintaining their work and personal commitments

Upon completion of the course, students will receive a certificate of completion, which serves as proof of their newly acquired skills and knowledge. This can be a valuable addition to a student’s resume and can help them stand out when applying for jobs.

Xtreme AI Programming also provides students with the foundation they need to continue learning and growing in their careers. The course provides a solid grounding in web development concepts and principles, which students can build upon as they gain more experience and expertise in the field.

Career Path

Machine Learning Engineer

Develop and optimize algorithms for predictive modeling and data analysis, working with large datasets to improve machine learning systems.

Data Scientist

Utilize AI techniques to analyze complex data, extract insights, and create data-driven strategies for businesses across various industries.

AI Research Scientist

Engage in cutting-edge research to advance AI methodologies, often within academic institutions or R&D departments of tech companies.

Software Engineer (AI Focus)

Build software applications that incorporate AI technologies, including chatbots, recommendation engines, and automation tools.

Computer Vision Engineer

Design systems that enable machines to interpret and understand visual information, applying techniques for image recognition and processing

Natural Language Processing

Develop algorithms that allow computers to understand and generate human language, enhancing applications like voice assistants and translation tools.

Robotics Engineer

Create intelligent robotic systems that utilize AI for navigation, manipulation, and decision-making in real-world environments.

AI Product Manager

Oversee the development of AI-driven products, coordinating between engineering teams and stakeholders to ensure market needs are met.

Business Intelligence Analyst

Use AI tools to analyze business data and trends, supporting strategic decision-making within organizations.

Ethics and Compliance Officer

Focus on ensuring AI technologies are developed and used responsibly, addressing issues like bias, transparency, and accountability.

Duration

12 Months

Classes

Alternate Days Basis – MWF or TTS

Session Duration

1.5 hrs per session

Fees & Payments

Plan I – Total Sum Payable: ₹ 1,00,000/- @ One Go

Fees in Installment

Plan II -Registration: ₹ 2,000/ Down Payment: ₹ 30,000/- first month, then ₹ 8,000/- x 11 month

Enroll

Here