Artificial Intelligence Training

https://project.bigdatatrunk.com Quality Corporate and Classroom Training in Bay Area CA Thu, 13 Feb 2025 06:55:29 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 GenAI Zero to One https://project.bigdatatrunk.com/courses/genai-zero-to-one/ https://project.bigdatatrunk.com/courses/genai-zero-to-one/#respond Tue, 02 Jul 2024 09:23:55 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52828 Generative AI (GenAI) is a field of artificial intelligence that focuses on creating models capable of generating new content, such as text, images, and more.

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Overview
Prerequisites
Audience
Curriculum

Description:

Generative AI (GenAI) is a field of artificial intelligence that focuses on creating models capable of generating new content, such as text, images, and more. This course covers the introduction to foundation models, their applications in vision and text-based use cases, and the integration of large language models (LLMs) with vector databases. Participants will delve into practical use cases across different domains, including AI-driven filmmaking, marketing tools, and recipe recommendations.

Duration: Half Day

Course Code: BDT354

Learning Objectives:

Introduction to foundation models
Explore vision models and applied use cases
Learn about AI filmmaking and marketing tools
Understand foundational text models for marketing use cases
Learn about LLMs for chatbots
Explore LLM + VectorDB use cases
Explore GenAI use cases across various domains

Familiarity with fundamental concepts in AI and machine learning
Programming Skills

This course is suitable for:

Data Scientists and Machine Learning Engineers
Software Developers
Product Managers
Creative Professionals
Tech Enthusiasts
Students

Course Outline:

Introduction to Generative AI and Foundation Models
Applications in Vision (e.g., GANs, image generation)
Applications in Text (e.g., NLP, text generation)
Integration with Vector Databases
Practical Use Cases:
- AI-Driven Filmmaking
- Marketing Tools
- Recipe Recommendations
Ethical Considerations and Future Trends

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]]> https://project.bigdatatrunk.com/courses/genai-zero-to-one/feed/ 0 Cyber Security Mini Bootcamp https://project.bigdatatrunk.com/courses/cybersecurity-mini-bootcamp/ https://project.bigdatatrunk.com/courses/cybersecurity-mini-bootcamp/#respond Tue, 02 Jul 2024 09:14:12 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52811 Explore the fundamentals of cybersecurity, learn to identify and mitigate security threats, understand ethical hacking principles, and gain hands-on experience with various cybersecurity tools and techniques.

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Overview
Prerequisites
Audience
Curriculum

Description:

Explore the fundamentals of cybersecurity, learn to identify and mitigate security threats, understand ethical hacking principles, and gain hands-on experience with various cybersecurity tools and techniques. This course covers a broad range of topics including security architecture, cryptography, network security, and identity and access management.

Cybersecurity is crucial for protecting organizational assets in today's digital world. This comprehensive course provides an in-depth understanding of cybersecurity concepts and ethical hacking techniques. Participants will learn about security governance, ethical hacking phases, penetration testing, web application security, cryptography, and identity and access management. Hands-on labs and practical exercises will enable participants to apply their knowledge in real-world scenarios.

By the end of this course, participants will be equipped with the knowledge and skills required to implement robust security measures, conduct penetration tests, and secure computer networks and applications.

Duration: 5 Days

Course Code: BDT 353

Learning Objectives:

After this course, you will be able to:

Understand the need for cybersecurity and ethical hacking
Learn about the CIA Triad and security architecture
Understand security governance, auditing, regulations, and frameworks
Explore different types of hackers and phases of ethical hacking
Conduct penetration testing and identify network routes
Analyze and secure web applications
Learn about cryptographic techniques and attacks on cryptosystems
Understand computer network architecture and common network threats
Implement identity and access management principles
Perform hands-on labs using various cybersecurity tools

Basic understanding of computer networks and operating systems
Familiarity with basic security concepts

This course is designed for IT Professionals, Network Administrators, Security Analysts, Security Engineers, Ethical Hackers, and anyone interested in learning about cybersecurity and ethical hacking. It is also suitable for individuals aiming to strengthen their organization's security posture or prepare for cybersecurity certification exams.

Course Outline:

Module 1: Introduction to Cybersecurity & Ethical Hacking

Need for Cybersecurity
CIA Triad
Security Architecture
Security Governance
Security Auditing
Regulations & Frameworks
Ethical Hacking
Types of Hackers
Phases of Ethical Hacking
Penetration Testing
Types of Penetration Testing
Footprinting

Hands-On:

Footprinting a website using tools
Gathering information about a domain through tools
DNS Footprinting using DNS Interrogation Tools
Identify the Network Routes in the System
DNS lookup and reverse lookup
Network Path tracing
Network Analysis
Network scanning
Enumeration

Module 2: Application and Web Security

Web server architecture
Web server attacks
Countermeasures and patch management
Web application architecture
Web application attacks

Hands-On:

Capturing session ID with Burp Suite
Local File Inclusion on bWAPP

Module 3: Cryptography

Types of cryptography
Symmetric cryptography
Asymmetric cryptography
Hash functions
Digital signatures
Public Key Infrastructure (PKI)
Attacks on cryptosystems

Hands-On:

Generating and identifying hashes
Signing a file with digital signatures

Module 4: Computer Networks & Security

Introduction to Computer Networks
Computer Networks – Architecture
Layered architecture
Open Systems Interconnect (OSI) Model
Transmission Control Protocol/Internet Protocol (TCP/IP)
Network Scanning
Enumeration
Common Network Threats/Attacks

Module 5: IdAM (Identity and Access Management)

Authentication and authorization
Authentication and authorization principles
Regulation of access
Access administration
IdAM
Password protection
Identity theft

Hands-On:

Adding and granting permissions to users in Linux
Identifying phishing websites

Module 6: Structured Activity/Exercises/Case Studies:

Lab: Footprinting a website using tools
Lab: Gathering information about a domain through tools
Lab: DNS Footprinting using DNS Interrogation Tools
Lab: Identify the Network Routes in the System
Lab: DNS lookup and reverse lookup
Lab: Network Path tracing
Lab: Network Analysis
Lab: Network scanning
Lab: Enumeration
Lab: Capturing session ID with Burp Suite
Lab: Local File Inclusion on bWAPP
Lab: Generating and identifying hashes
Lab: Signing a file with digital signatures
Lab: Adding and granting permissions to users in Linux
Lab: Identifying phishing websites

Training Material Provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/cybersecurity-mini-bootcamp/feed/ 0 System Hacking and Defense https://project.bigdatatrunk.com/courses/system-hacking-and-defense/ https://project.bigdatatrunk.com/courses/system-hacking-and-defense/#respond Tue, 02 Jul 2024 08:57:06 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52794 This course provides a comprehensive overview of system hacking techniques and defensive measures.

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Overview
Prerequisites
Audience
Curriculum

Description:

This course provides a comprehensive overview of system hacking techniques and defensive measures. Students will learn about the methodologies used by attackers to compromise systems and the strategies to defend against such attacks. The course covers the ethical and legal aspects of hacking, various hacking tools, techniques, and countermeasures.

Duration: 1 Day

Course Code: BDT352

Learning Objectives:

Understand the fundamentals of system hacking.
Learn the various phases of hacking and common attack vectors.
Gain practical skills in using hacking tools and techniques.
Develop strategies to defend against system hacking.
Understand the ethical and legal implications of hacking.

Basic understanding of computer networks and cybersecurity principles.
Familiarity with the Linux operating system and basic scripting.
Introductory knowledge of TCP/IP protocols and common network services.

Course Outline:

Module 1: Introduction to System Hacking

Definition and History of Hacking
Ethical Hacking vs. Malicious Hacking
Overview of Hacking Phases (Reconnaissance, Scanning, Gaining Access, Maintaining Access, Covering Tracks)
Legal and Ethical Considerations

Module 2: Reconnaissance Techniques

Active vs. Passive Reconnaissance
Information Gathering Tools (WHOIS, Nslookup, Recon-ng)
Social Engineering Techniques

Module 3: Scanning and Enumeration

Network Scanning Techniques (Port Scanning, Network Mapping)
Vulnerability Scanning (Nmap, Nessus)
Enumeration Techniques (NetBIOS, SNMP, LDAP)

Module 4: Gaining Access

Exploitation Techniques (Buffer Overflows, Code Injection)
Password Cracking (Brute Force, Dictionary Attacks)
Exploitation Tools (Metasploit Framework)

Module 5: Escalating Privileges

Privilege Escalation Techniques
Common Vulnerabilities and Exploits
Post-Exploitation Tools (Mimikatz, PowerShell Empire)

Module 6: Maintaining Access

Backdoors and Rootkits
Persistence Techniques (Scheduled Tasks, Startup Scripts)
Anti-Forensics Techniques

Module 7: Defensive Strategies

Hardening Systems (Patching, Configuration Management)
Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS)
Monitoring and Logging Best Practices

Training Material Provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/system-hacking-and-defense/feed/ 0 Offensive Security Certified Professional (OSCP) Prep Methodology https://project.bigdatatrunk.com/courses/offensive-security-certified-professional-oscp-prep-methodology/ https://project.bigdatatrunk.com/courses/offensive-security-certified-professional-oscp-prep-methodology/#respond Tue, 02 Jul 2024 08:37:14 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52771 Master advanced penetration testing and bug bounty methodologies with hands-on experience in exploiting vulnerabilities.

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Overview
Prerequisites
Audience
Curriculum

Description:

Master advanced penetration testing and bug bounty methodologies with hands-on experience in exploiting vulnerabilities. This course covers essential skills for information gathering, vulnerability assessment, exploitation, privilege escalation, lateral movement, and active directory exploitation, preparing you for the OSCP certification.

This comprehensive course dives deep into advanced penetration testing and bug bounty methodologies. Participants engage in hands-on practice sessions to hone their skills in identifying and exploiting vulnerabilities across various platforms. The curriculum includes passive information gathering, network and service enumeration, web application attacks, privilege escalation, and advanced exploitation techniques.

Participants will gain skills necessary for managing penetration tests, exploit development, and applying automation to enhance efficiency. This course simulates real-world scenarios with extensive lab exercises, providing thorough preparation for the OSCP certification.

Course Code: BDT351

Duration: 5 Days

Learning Objectives:

By the end of this course, participants will be able to:

Understand the OSCP Prep Methodology
Perform advanced bug bounty and live bug bounty sessions
Conduct passive information gathering
Use Host and Nmap for network scanning
Execute SMB, SMTP, and SNMP enumeration
Utilize web application assessment tools
Perform web attacks and shell exploitation
Locate public exploits and perform cracking (SSH, RDP, WEB)
Conduct password cracking and Windows privilege escalation
Gain situational awareness and identify hidden threats
Leverage PowerShell for exploitation
Automate enumeration processes
Exploit Windows services, DLL hijacking, and scheduled tasks
Conduct UAC attacks, GPO edits, and use tools for Windows privilege escalation
Enumerate and exploit Linux systems
cybersecurity fundamentals
Conduct mobile app pentesting (Android and iOS)
Understand and implement OWASP Top 10 security practices

Proficiency in Python
Basic command-line tools and Linux operating system experience

This course is ideal for Penetration Testers, Security Engineers, Network Administrators, System Administrators, and individuals aiming for OSCP certification. It is also suitable for those involved in offensive security operations and bug bounty programs.

Course Outline

Module 1: Information Gathering

Passive information gathering techniques
Network scanning with Host and Nmap
Enumeration techniques (SMB, SMTP, SNMP)
Lab: Information Gathering and Network Scanning

Module 2: Web Application Attacks

Web application assessment tools
Common web attacks and shell exploitation
Lab: Web Application Attacks and Shell Exploitation

Module 3: Exploitation Techniques

Locating public exploits
Cracking SSH, RDP, and web passwords
Exploiting privilege escalation vulnerabilities
Lab: Exploitation and Privilege Escalation

Module 4: Automation and Scripting

Automated enumeration tools
Leveraging PowerShell and Windows services
Lab: Automation and Scripting for Penetration Testing

Module 5: Advanced Exploitation

DLL hijacking, scheduled tasks exploitation
UAC attacks, SeImpersonate and SeBackup privileges
Lab: Advanced Exploitation Techniques

Module 6: Linux Exploitation

Enumerating and exploiting Linux systems
Kernel vulnerabilities and cron job exploitation
Lab: Linux Exploitation Techniques

Module 7: Tunneling and Lateral Movement

Port redirection and tunneling techniques (Ligolo NG, Chisel, SSH, HTTP)
Active directory enumeration and exploitation
Lab: Tunneling and Lateral Movement

Module 8: Bug Bounty Automation

Bug bounty tools and automation (ReconFTW, NucleiFuzzer, Magic Recon, Subzy)
Authentication bypass techniques
Lab: Bug Bounty Automation and Exploitation

Module 9: Defensive Security

Introduction to defensive security
Overview of cybersecurity and OSI model
Lab: Implementing Defensive Security Measures

Module 10: Mobile App Pentesting

Mobile app pentesting process (Android and iOS)
Tools and techniques for mobile app security
Lab: Mobile App Pentesting

Module 11: OWASP Top 10

Overview and implementation of OWASP Top 10 security practices
Lab: OWASP Top 10 Security Practices

Module 12: AWS Security

Securing AWS environments
Best practices for DDOS protection and IAM management
Lab: AWS Security Best Practices

Module 13: Certification Preparation

Preparation for OSCP certification
Practice test and exam strategies
Lab: OSCP Certification Practice

Training Material Provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/offensive-security-certified-professional-oscp-prep-methodology/feed/ 0 Network Scanning and Vulnerability Assessment https://project.bigdatatrunk.com/courses/network-scanning-and-vulnerability-assessment/ https://project.bigdatatrunk.com/courses/network-scanning-and-vulnerability-assessment/#respond Tue, 02 Jul 2024 08:19:11 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52748 This course offers comprehensive training in network scanning and vulnerability assessment techniques. Students will learn how to identify, analyze, and mitigate vulnerabilities within networks.

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Overview
Prerequisites
Audience
Curriculum

Description:

This course offers comprehensive training in network scanning and vulnerability assessment techniques. Students will learn how to identify, analyze, and mitigate vulnerabilities within networks. The course covers various tools, methodologies, and best practices essential for effective network security assessment.

Duration: 2 Days

Course Code: BDT350

Learning Objectives:

Understand the fundamentals of network scanning and vulnerability assessment.
Learn to use various tools for scanning and vulnerability detection.
Develop skills to analyze scan results and identify potential security risks.
Understand how to prioritize and mitigate identified vulnerabilities.
Gain knowledge of legal and ethical considerations in network scanning.

Basic understanding of computer networks and cybersecurity principles.
Familiarity with the Linux operating system and basic scripting.
Introductory knowledge of TCP/IP protocols and common network services.

IT Professionals, Network Admin.

Course Outline:

Module 1: Introduction to Network Scanning

Definition and Purpose of Network Scanning
Types of Network Scanning (Port Scanning, Network Mapping, etc.)
Overview of Network Scanning Tools
Ethical and Legal Considerations in Network Scanning

Module 2: TCP/IP and Networking Basics

Understanding the OSI Model
TCP/IP Protocol Suite
Common Network Services and Ports

Module 3: Port Scanning Techniques

Types of Port Scanning (TCP, UDP, SYN, FIN, etc.)
Tools for Port Scanning (Nmap, Masscan)
Interpreting Port Scan Results

Module 4: Network Mapping and Discovery

Network Topology Discovery
Host Discovery Techniques
Tools for Network Mapping (Nmap, Netdiscover, etc.)

Module 5: Vulnerability Scanning Fundamentals

Definition and Importance of Vulnerability Scanning
Types of Vulnerability Scans (Network, Host, Application)
Tools for Vulnerability Scanning (Nessus, OpenVAS, Nikto)

Module 6: Advanced Vulnerability Scanning Techniques

Authenticated vs. Unauthenticated Scans
Scanning Web Applications and Databases
Customizing Scan Policies

Module 7: Analyzing and Interpreting Scan Results

Understanding Vulnerability Reports
Prioritizing Vulnerabilities (CVSS, Risk Rating)
Correlating Scan Data with Threat Intelligence
Case Studies of Vulnerability Exploitation

Module 8: Vulnerability Management and Mitigation

Patch Management Strategies
Configuring and Hardening Systems
Incident Response and Remediation Planning

Module 9: Continuous Monitoring and Assessment

Setting Up Continuous Scanning Environments
Integrating Scanning Tools with SIEM Solutions
Automated Vulnerability Management

Training Material Provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/network-scanning-and-vulnerability-assessment/feed/ 0 Mastering Honeypots: Advanced Techniques for Cybersecurity Defense https://project.bigdatatrunk.com/courses/mastering-honeypots-advanced-techniques-for-cybersecurity-defense/ https://project.bigdatatrunk.com/courses/mastering-honeypots-advanced-techniques-for-cybersecurity-defense/#respond Tue, 02 Jul 2024 08:03:39 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52731 This course provides an in-depth understanding of honeypots, their purpose, types, and deployment strategies.

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Overview
Prerequisites
Audience
Curriculum

Description:

This course provides an in-depth understanding of honeypots, their purpose, types, and deployment strategies. Students will learn how to design, implement, and manage honeypots, analyze collected data, and understand their role in cybersecurity.

Course Code: BDT349

Duration: 1 Day

Learning Objectives:

Understand the concept and purpose of honeypots.
Differentiate between various types of honeypots.
Implement and deploy honeypots in a network.
Analyze data collected by honeypots to identify threats.
Understand legal and ethical considerations related to honeypot deployment.

Basic understanding of computer networks and cybersecurity principles.
Familiarity with Linux operating system and basic scripting.

Network administerator, Cybersecurity proffesionals and IT proffesionals.

Course Outline

Module 1: Introduction to Honeypots

Definition and History of Honeypots
Purpose and Benefits of Using Honeypots
Overview of Cyber Threats and Attacks
Types of Honeypots (Low-Interaction vs. High-Interaction)

Module 2: Types of Honeypots

Research vs. Production Honeypots
Low-Interaction Honeypots
High-Interaction Honeypots

Module 3: Honeypot Architecture

Components of a Honeypot System
Network Placement and Integration
Virtual vs. Physical Honeypots
Setting Up a Virtual Environment for Honeypots

Module 4: Deployment Strategies

Designing a Honeypot: Goals and Scope
Network Configuration and Isolation
Deployment Best Practices
Hands-On Lab: Setting Up a Basic Low-Interaction Honeypot

Module 5: Data Collection and Analysis

Logging and Monitoring Tools
Analyzing Honeypot Data
Identifying and Classifying Threats
Case Studies of Honeypot Deployments

Module 6: Advanced Honeypot Techniques

Creating Custom Honeypots
Deception Techniques
Honeytokens and Honeyfiles
Hands-On Lab: Implementing a High-Interaction Honeypot

Module 7: Legal and Ethical Considerations

Legal Issues in Honeypot Deployment
Ethical Implications
Privacy Concerns
Guidelines and Best Practices

Module 8: Practical Applications and Case Studies

Real-World Examples of Honeypot Use
Analysis of High-Profile Cyber Attacks Using Honeypots
Student Presentations on Honeypot Case Studies

Module 9: Emerging Trends and Future Directions

Integration with Threat Intelligence Platforms
Machine Learning and AI in Honeypots
The Future of Honeypot Technology

Training Material Provided:

Yes (Digital format)

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]]> https://project.bigdatatrunk.com/courses/mastering-honeypots-advanced-techniques-for-cybersecurity-defense/feed/ 0 Web Penetration Testing & Bug Hunting https://project.bigdatatrunk.com/courses/web-penetration-testing-bug-hunting/ https://project.bigdatatrunk.com/courses/web-penetration-testing-bug-hunting/#respond Tue, 02 Jul 2024 07:51:51 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52714 This comprehensive 3 day training on Web Penetration Testing and Bug Hunting is designed to equip participants with the knowledge and skills required to identify and exploit security vulnerabilities in web applications and mobile platforms.

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Overview
Prerequisites
Audience
Curriculum

Description:

This comprehensive 3 day training on Web Penetration Testing and Bug Hunting is designed to equip participants with the knowledge and skills required to identify and exploit security vulnerabilities in web applications and mobile platforms. It covers the fundamentals of penetration testing, including the stages of testing, an overview of hacking, and an introduction to essential tools and lab setups. The curriculum also delves into OWASP Top 10 vulnerabilities, advanced bug hunting techniques, and detailed web and mobile application penetration testing methodologies. Additionally, the course includes modules on network penetration testing and best practices for creating detailed security reports.

Duration: 3 Days

Course Code: BDT348

Learning Objectives

Understand the Fundamentals of Penetration Testing
Gain Proficiency with Essential Tools like Burp Suite, Nessus, and Kali Linux, including setting up a lab environment for practical testing.
Master OWASP Top 10 Vulnerabilities
Develop Advanced Bug Hunting Skills
Perform Comprehensive Penetration Testing

Basic Knowledge of Networking
Familiarity with Web Technologies:
Basic Programming Skills preferably in Python.
Operating System Proficiency

This course is suitable for:

Aspiring Cyber Security Professionals
IT Security Specialists
Software Developers and QA Engineers
Network Administrators

Course Outline:

Module 1: Introduction of Penetration Testing

What is Penetration Testing?
Penetration Testing Stages
Overview of Hackers
Overview of WAPT
Opportunity in Cyber Security or Penetration Testing

Module 2: Overview of Tools and Lab Installation

Burp suite
Nessus
Kali Linux
Setup Kali Linux
Setup Metasploitable 2.0
Some reconnaissance tools

Module 3: OWASP Overview

OWASP Top 10 2021
OWASP Top 10 2017
Basic vulnerabilities overview

Module 4: Bug Hunting

Bug Hunting Tools
How to find the subdomains
How to find the PII
How to find the end points
How to search PII on GitHub

Module 5: Web Application Penetration Testing

Insecure Direct Object Reference
EXIF Geolocation data
Host Header Attack
No Rate Limit
Insecure HTTP Method
File Upload vulnerability
2FA Bypass
CORS
XSS
CSRF
Web Cache Deception
SSRF
Authentication Testing
SQL Injection

Module 6: Mobile Penetration testing

Mobile PT overview
Lab Setup
Overview of Frida & Objection
Extraction of apk file
SSL pinning bypass
Some example attack
Static Testing using Mobsf

Module 7: Network Penetration

Nessus Scan
Check for manual scan
Metasploit

Module 8: Reporting

How to create report
How to Submit a Bug Report

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]]> https://project.bigdatatrunk.com/courses/web-penetration-testing-bug-hunting/feed/ 0 Machine Learning – Immersive Bootcamp https://project.bigdatatrunk.com/courses/machine-learning-immersive-bootcamp/ https://project.bigdatatrunk.com/courses/machine-learning-immersive-bootcamp/#respond Tue, 02 Jul 2024 07:32:07 +0000 https://www.bigdatatrunk.com/?post_type=lp_course&p=52684 Join our intensive 5-day Machine Learning Bootcamp designed to equip you with the essential skills and knowledge to excel in the field of data science.

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Overview
Prerequisites
Audience
Curriculum

Description:

Join our intensive 5-day Machine Learning Bootcamp designed to equip you with the essential skills and knowledge to excel in the field of data science. Starting with an introduction to Python and foundational statistical methods, you'll learn to visualize and analyze data effectively. We'll then delve into the core principles of machine learning, covering both theoretical concepts and practical applications. You'll explore key algorithms, including PCA, k-Nearest Neighbors, linear regression, decision trees, and ensemble methods like random forests. By the end of the bootcamp, you'll have a solid understanding of how to formulate and solve real-world problems using advanced machine learning techniques. This bootcamp is perfect for anyone looking to deepen their expertise in data science and machine learning.

Duration: 5 Days

Course Code: BDT347

Learning Objectives

Gain a solid foundation in Python programming and its applications in data science
Develop skills to perform EDA to uncover patterns and insights from data.
Comprehend the significance of machine learning, formulate machine learning problems, and explore supervised and unsupervised learning.
Learn and apply essential machine learning algorithms such as PCA, KNN, linear regression, decision trees, ensemble methods (like Random Forests), SVM, logistic regression, and Naive Bayes.
Understand the concepts of generalization and overfitting, and master the use of training, validation, and testing datasets to develop robust machine learning models.

Basic Programming Knowledge: Familiarity with any programming language like Python is preferred but not mandatory.
Understanding of Mathematics: Basic knowledge of linear algebra, calculus, and probability.
Statistical Concepts: Fundamental understanding of descriptive and inferential statistics.
Eagerness to learn and apply new concepts in data science and machine learning.

This course is suitable for:

Software Developers
Data Scientists
AI/ML Engineers
Tech Enthusiasts

Course Outline:

Data Science Toolkits, Statistical & Exploratory Data Analytics

Introduction to Python
Python for Data science
Math for Machine Learning
Data Visualization in Python
CRISP-DM Framework
Inferential Statistics
Hypothesis Testing
Exploratory Data Analytics

Introduction to Machine Learning

Motivation & Role of Machine learning in computer science & problem solving
Problem Formulation (Classification and Regression)
Paradigms of learning
Supervised Learning
Unsupervised Learning

Fundamentals to Machine Learning

PCA and Dimensionality Reduction
Nearest Neighbours and KNN
Linear Regression
Decision Tree Classifiers
Notion of Generalization and concern of Overfitting
Notion of Training, Validation and Testing

Machine Learning Algorithms

Linear SVM
Logistic Regression
Naive Bayes
Decision Trees
Ensemble Techniques
Random Forests

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