What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. We offer programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

We offer extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

Exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, Certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands.

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach us at +91 636 447 9991 | 2 | 3 for detailed information.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. We offer specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

Unlocking AI-Powered Role-Based Program

AI+ Security Level 1

Globally Recognized Certification: Accepted in over 120 countries

No Technical Barriers: No programming Skills

Flexible Learning Formats

Proctored Online Exams

One-Year free Subscription for upgrading skill

Lead Life with AI

Imagine walking into your office and realizing Al can do 40% of your repetitive tasks for you. How would that change your work?

Al is revolutionizing business, healthcare, marketing, finance, and more. Workforces that integrate Al skills see up to a 40% increase in productivity.

In today's rapidly evolving digital landscape, understanding and leveraging Artificial Intelligence (AI) is no longer optional—it's essential.

Al is expected to contribute $15.7 trillion to the global economy by 2030.

Empowering Cybersecurity with AI

Start your AI security journey with our all-in-one bundle. Explore core concepts in AI-driven protection, vulnerability management, and intelligent threat response.

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The Power of AI Certification

In today's fast-changing world, Al is reshaping industries, jobs, and career paths.

Al isn't just the future-It's your competitive advantage.

Explore Advantages of Role-Based Certification Over General AI Certification

General Al Certifications

Role-Based AI Certifications

Feature

Focus

Broad Al knowledge

Job-specific Al skills

Industry Relevance

Theoretical concepts

Al training directly applicable to your profession

Career Growth

Limited real-world use

Al expertise that makes you indispensable

Scalability

Designed for individuals

Scalable for teams. & organizations

Key Takeaways of Our Programs

Understand the business and outcomes that can be achieved with AI

Practical Knowledge

Ethical & Responsible AI tracks

Flexible learning formats

Access to high video lessons, assessments, quizzes and upgrades for 1 year after programs

Join a community of like minded professionals who are successfully exploring AI in their organizations

AI Security Career Advancement – Your Path to Cyber Resilience

Market Demand for AI Security Experts

The global AI security market is projected to reach $38 billion by 2028, with organisations prioritising AI-driven security measures.
Studies indicate that cybersecurity attacks have increased by 300%, making AI security skills crucial for businesses.
High-Growth Areas: AI Threat Detection, Secure AI Governance, Cyber Risk Mitigation, and AI-Driven Compliance.
AI security experts are in high demand, making this certification an essential step for professionals in IT, cybersecurity, and risk management.

Program at a glance:

Program Name:

Delivery Method:

Duration:

Exam Format:

Included:

Outcome:

AI+ Security Level 1

Self-Paced | Virtual Instructor Led

5 Weeks of Intensive Week-end [ Every Saturday ] Training with Live Demos

50 questions, 70% passing, 90 minutes, online proctored exam

Projects & Case Studies

Industry-recognized credential + hands-on experience

Who is this program for ?

Cybersecurity Professionals and Analysts: Stay updated on the latest AI-driven tools and techniques.
Penetration Testers: Gain insights into how AI can enhance their ethical hacking practices.
Security Consultants: Integrate AI into security solutions to advise on cutting-edge technologies.
Incident Responders: Learn how AI can streamline incident analysis and improve response efficiency.
Security Engineers: Develop expertise in developing AI-based technologies and infrastructures.
Threat Hunters: Enhance capabilities in using AI and ML for proactive threat identification.
Compliance Auditors: Understand AI’s role in ensuring compliance and performing risk assessments.
Network Security Administrators: Gain skills in implementing AI-driven network security measures.
Forensic Analysts: Explore how AI can aid in digital investigations and enhance forensic analysis.
IT Professionals and System Administrators: Use AI to detect and respond to threats more effectively and efficiently.
Risk Management Specialists: Implement AI to better assess and mitigate risks.
Business Leaders and Decision Makers: Understand AI in cybersecurity to make informed decisions about investments and strategies.
Software Developers: Understand AI-integration engaged in security tools and applications.

What You'll Learn

Automation of Security Processes

Master AI technologies to streamline routine tasks like monitoring, logging, and incident management for improved operational efficiency and accuracy.

Threat Detection and Response Using AI

Learn to deploy AI-powered tools for real-time threat detection, analysis, and mitigation of cyber risks.

Data Privacy and Compliance in AI Security

Explore regulatory requirements and implement data privacy measures using AI tools to ensure compliance and secure handling of sensitive data.

Real-Time Cyberattack Prevention with AI

Acquire predictive analytics skills to prevent cyberattacks before they occur, leveraging behavioral analysis and anomaly detection.

Module 1: Introduction to Cybersecurity

1.1 Definition and Scope of Cybersecurity

1.2 Key Cybersecurity Concepts

1.3 CIA Triad (Confidentiality, Integrity, Availability)

1.4 Cybersecurity Frameworks and Standards (NIST, ISO/IEC27001)

1.5 Cyber Security Laws and Regulations (e.g., GDPR, HIPAA)

1.6 Importance of Cybersecurity in Modern Enterprises

1.7 Careers in Cyber Security

Module 4: Threats, Vulnerabilities, and Exploits

4.1 Types of Threat Actors (Script Kiddies, Hacktivists, Nation-States)

4.2 Threat Hunting Methodologies using AI

4.3 AI Tools for Threat Hunting (SIEM, IDS/IPS)

4.4 Open-Source Intelligence (OSINT) Techniques

4.5 Introduction to Vulnerabilities

4.6 Software Development Life Cycle (SDLC) and Security Integration with AI

4.7 Zero-Day Attacks and Patch Management Strategies

4.8 Vulnerability Scanning Tools and Techniques using AI

4.9 Exploiting Vulnerabilities (Hands-on Labs)

Module 2: Operating System Fundamentals

2.1 Core OS Functions (Memory Management, Process Management)

2.2 User Accounts and Privileges

2.3 Access Control Mechanisms (ACLs, DAC, MAC)

2.4 OS Security Features and Configurations

2.5 Hardening OS Security (Patching, Disabling
Unnecessary Services)

2.6 Virtualization and Containerization Security
Considerations

2.7 Secure Boot and Secure Remote Access

2.8 OS Vulnerabilities and Mitigations

Module 5: Understanding of AI and ML

5.1 An Introduction to AI

5.2 Types and Applications of AI

5.3 Identifying and Mitigating Risks in Real-Life

5.4 Building a Resilient and Adaptive Security Infrastructure with AI

5.5 Enhancing Digital Defenses using CSAI

5.6 Application of Machine Learning in Cybersecurity

5.7 Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats

5.8 Threat Intelligence and Threat Hunting Concepts

Module 3: Networking Fundamentals

3.1 Network Topologies and Protocols (TCP/IP, OSI Model)

3.2 Network Devices and Their Roles (Routers, Switches,
Firewalls)

3.3 Network Security Devices (Firewalls, IDS/IPS)

3.4 Network Segmentation and Zoning

3.5 Wireless Network Security (WPA2, Open WEP
vulnerabilities)

3.6 VPN Technologies and Use Cases

3.7 Network Address Translation (NAT)

3.8 Basic Network Troubleshooting

Module 6: Python Programming Fundamentals

6.1 Introduction to Python Programming

6.2 Understanding of Python Libraries

6.3 Python Programming Language for Cybersecurity
Applications

6.4 AI Scripting for Automation in Cybersecurity Tasks

6.5 Data Analysis and Manipulation Using Python

6.6 Developing Security Tools with Python

Module 7: Applications of AI in Cybersecurity

7.1 Understanding the Application of Machine Learning in Cybersecurity

7.2 Anomaly Detection to Behavior Analysis

7.3 Dynamic and Proactive Defense using Machine Learning

7.4 Utilizing Machine Learning for Email Threat Detection

7.5 Enhancing Phishing Detection with AI

7.6 Autonomous Identification and Thwarting of Email Threats

7.7 Employing Advanced Algorithms and AI in Malware Threat Detection

7.8 Identifying, Analyzing, and Mitigating Malicious Software

7.9 Enhancing User Authentication with AI Techniques

7.10 Penetration Testing with AI

Module 8: Incident Response and Disaster Recovery

8.1 Incident Response Process (Identification, Containment, Eradication, Recovery)

8.2 Incident Response Lifecycle

8.3 Preparing an Incident Response Plan

8.4 Detecting and Analyzing Incidents

8.5 Containment, Eradication, and Recovery

8.6 Post-Incident Activities

8.7 Digital Forensics and Evidence Collection

8.8 Disaster Recovery Planning (Backups, Business Continuity)

8.9 Penetration Testing and Vulnerability Assessments

8.10 Legal and Regulatory Considerations of Security Incidents

Module 9: Open Source Security Tools

9.1 Introduction to Open-Source Security Tools

9.2 Popular Open Source Security Tools

9.3 Benefits and Challenges of Using Open-Source Tools

9.4 Implementing Open Source Solutions in Organizations

9.5 Community Support and Resources

9.6 Network Security Scanning and Vulnerability Detection

9.7 Security Information and Event Management (SIEM) Tools (Open-Source options)

9.8 Open-Source Packet Filtering Firewalls

9.9 Password Hashing and Cracking Tools (Ethical Use)

9.10 Open-Source Forensics Tools

Module 10: Securing the Future

10.1 Emerging Cyber Threats and Trends

10.2 Artificial Intelligence and Machine Learning in
Cybersecurity

10.3 Blockchain for Security

10.4 Internet of Things (IoT) Security

10.5 Cloud Security

10.6 Quantum Computing and its Impact on Security

10.7 Cybersecurity in Critical Infrastructure

10.8 Cryptography and Secure Hashing

10.9 Cyber Security Awareness and Training for Users

10.10 Continuous Security Monitoring and Improvement

Module 11: Capstone Project

11.1 Introduction

11.2 Use Cases: AI in Cybersecurity

11.3 Outcome Presentation

Module 12: AI Agents for Security Level 1

1. Understanding AI Agents

2. What Are AI Agents

3. Key Capabilities of AI Agents in Cyber Security

4. Applications and Trends for AI Agents in Cyber Security

5. How Does an AI Agent Work

6. Core Characteristics of AI Agents

7. Types of AI Agents

Tools You’ll Master

ChatGPT

Pluralsight

Prerequisites

Basic Python Programming: Familiarity with loops, functions, and variables.
Basic Cybersecurity Knowledge: Understanding of CIA triad and common threats (e.g., malware, phishing).
Basic Machine Learning Concepts: Awareness of fundamental machine learning concepts, not mandatory.
Linux/Command Line Skills: Ability to navigate and use the CLI effectively.

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

High-Quality Videos, E-book (PDF & Audio), and Podcasts
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Online Proctored Exam with One Free Retake
Comprehensive Exam Study Guide

5 Weeks of Intensive Week-end [ Every Saturday ] Training with Live Demos

40 hours of instructor led session with industry expert facilitator
40 hours of on-demand video lessons, e-book, and podcasts

Real-time Q&A and peer collaboration

Led by AI Certified Trainers

Live Instructor Led Sessions

Self-Paced Online

40 hours of on-demand video lessons, e-book, and podcasts

Learn anywhere, anytime, with modular quizzes to track progress

Can be enrolled independently

Interested to know more details

Certificate

Participants who successfully complete the program will receive a verified digital certificate issued by AI Certs. The program follows a pass/fail grading system, requiring a minimum score of 70% to qualify for certification.

Certificates will be delivered via email using the name provided during registration.

Note: The certificate visuals shown are for reference only and may be updated at AI Certs discretion.

Principal Consultant

Certified AI Trainer | Technology Strategist | Innovation Leader | Industry Advisor

Thrivikram Naganna is a Certified AI Trainer with over 25 years of experience at the forefront of technology & innovation across Cybersecurity, Data Analytics & Artificial Intelligence. With a proven track record in product architecture, cloud transformation, DevSecOps & Engineering Excellence (CoE), he has led large-scale initiatives at leading technology firms like EMC, RSA & Sophos, driving both technical excellence and business value.

Key Career Highlights:

Architect of XDB, an AI/NLP powered analytics platform that delivers actionable business insights and insights into engineering efficiency
Architect of Advanced Cybersecurity Solutions, including SASE and RSA SecurID for multi-factor authentication
Architect of Next-Gen Continuous Delivery Pipeline leveraging microservices and container orchestration for Agile software delivery
Designed & Developed, Xtreme Deploy, a multi-cloud deployment platform, resulting in significant cost savings and operational efficiency, (Winner of global innovation award at EMC/RSA)
Architect of Secure Development Lifecycle (SDLC) practices at RSA

Educational Background:

Postgraduate Program in Cloud Computing – Caltech University
Master’s Program in Artificial Intelligence – Simplilearn
B.E in Computer Science Engineering – University of Mysore

Thrivikram’s people & process leadership expertise spans Agile methodologies, CMMI Level 5 practices, and cross-functional leadership. His strong foundation in Computer Science Engineering is complemented by advanced certifications in Artificial Intelligence and Cloud Computing.

Training Approach:

Thrivikram brings a rare combination of deep technical knowledge and hands-on experience to his training sessions. He excels at simplifying complex concepts and translating them into practical, real-world applications. His engaging, results-oriented teaching style equips learners and organizations to harness the power of AI and emerging technologies effectively and confidently.

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What Our Learners Say:

Marc H

Co-Founder

“Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.."

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Lead Life Learning, India is in collaboration with AI Certs, New York to offer a portfolio of high impact AI & Blockchain programs. AI Certs is an authorized body to conduct examination and provide globally recognized certificates through its expert accreditation body.