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🔥 Most Popular in Pune

AI Security Training Course in Pune by Uncodemy

Learners in Pune can join Uncodemy's instructor-led live online AI Security program. The syllabus covers the AI threat landscape, prompt injection & jailbreak defense, adversarial ML, secure RAG systems, and AI governance & compliance. Designed for security professionals, AI/ML engineers and developers, the program includes 13 modules, 90+ live sessions, 148+ hours and an enterprise AI security capstone. Fee: ₹17,500 + 18% GST, total ₹20,650. EMI starting from ₹4,032/month.

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Special Offer: AI Security Program

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Total ₹20,650
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EMI AVAILABLE
Starting ₹4,032/M*
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Expert Trainers

Learn from 8+ years experienced professionals

Hands-on Automation Projects

Build real Playwright test suites, not just theory

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

AI Security Course — Live Online Program Hands-on learning focused on practical AI security skills and interview preparation.
A comprehensive 5–6 month instructor-led live online program covering AI threat landscape, prompt injection & jailbreak defense, adversarial ML, secure RAG systems, AI governance & compliance with practical projects, mentoring and career support.
📚 Learning:
148+ Hours of Learning
⏱️ Program Duration:
5–6 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on AI Security Projects & Security Case Studies
💰 Program Fee:
₹17,500 + 18% GST
💰 Total Fee:
₹20,650
💳 EMI:
Starting From ₹4,032/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

AI Security Course in Pune — Quick Facts

🎓 Course:
AI Security Course
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
148+ Hours of Learning
📖 Curriculum:
13 Modules
💼 Projects:
Hands-on Security Case Studies + Enterprise AI Security Capstone
🛠️ Tools:
Python, MITRE ATLAS, NIST AI RMF, Burp Suite
🌐 Modes:
Live Online (offline only at Delhi & Noida centres; Pune learners join live online)
✅ Prior Coding:
Basic understanding of AI/ML/LLM concepts helpful (built up in Module 2). Some security or programming background recommended.
📜 Certificate:
Uncodemy AI Security Program Certificate (verifiable online)
🗓️ Last Reviewed:
25 September 2026

List of Placed Students Trained by Uncodemy

Uncodemy learners who complete the AI Security training program develop practical skills in threat modelling, prompt injection defense, adversarial ML testing, secure RAG design and AI governance. After completing their training and career preparation, eligible learners may apply for roles such as AI Security Engineer, LLM Security Engineer and AI Security Analyst. Placement records for Pune learners are updated regularly — view verified outcomes at uncodemy.com/placement.

What is AI Security?

AI security is the practice of protecting AI and LLM systems against prompt injection, jailbreaks, data leakage, adversarial attacks and model misuse. Unlike traditional application security, which focuses on deterministic code and network boundaries, AI security must address probabilistic model behaviour, untrusted natural-language inputs and the unique attack surface created by retrieval pipelines, tool-calling agents and third-party model APIs. It combines threat modelling, adversarial testing, secure design and governance to ensure AI systems behave safely and responsibly in production.

What does an AI security engineer do? An AI security engineer threat-models AI systems, tests for prompt injection and jailbreak vulnerabilities, secures RAG pipelines and AI APIs, performs adversarial ML testing, and handles AI governance and compliance work. Daily tasks involve Python scripting, using frameworks like MITRE ATLAS and OWASP GenAI Security resources, reviewing model access controls, evaluating guardrails and filters, and documenting risks for engineering and compliance stakeholders.

AI Security vs Traditional Cybersecurity vs AI Testing

AI Security focuses on securing AI/LLM systems against prompt injection, adversarial attacks and data leakage, while traditional cybersecurity covers infrastructure broadly and AI Testing checks functional accuracy.

Aspect AI Security Traditional Cybersecurity AI Testing (Uncodemy course)
Core focus Securing AI/LLM systems against prompt injection, adversarial attacks & data leakage Securing networks, applications & infrastructure generally Functional/QA testing of AI systems (accuracy, hallucination)
Coding depth Moderate to High Moderate to High Moderate
Typical entry salary ₹5–9 LPA (Entry-Level AI Security Analyst) [CONFIRM — not an Uncodemy course, general market figure] [CONFIRM per AI Testing course sheet]
Uncodemy program duration 5–6 months N/A 1.5 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

The AI Security course is a 5–6 month live online program delivered across 90+ live sessions and 148+ hours of learning. It is structured in 13 modules that progress from AI security fundamentals through AI/ML/LLM architecture, AI threat landscape, LLM & GenAI security risks, prompt injection & jailbreak defense, data security & privacy, secure RAG & knowledge systems, AI application & API security, model security & adversarial ML, AI agents tool use & access control, AI security testing & evaluation, AI governance risk & compliance, and a 20-hour enterprise AI security capstone. Every module includes practical exercises with real tools, and the program closes with hands-on security case studies and an enterprise capstone. The program is delivered fully live online for Pune and nationwide learners.

Who should join this course:

  • Security professionals upskilling into AI security and LLM-specific threat defence.
  • AI/ML engineers wanting to specialise in securing AI systems and adversarial ML.
  • Developers building AI systems who need security fundamentals and secure design practices.
  • Working professionals moving into AI risk, governance and compliance roles.
  • Pune-based learners who want instructor-led live online training with hands-on labs.

Eligibility: Basic understanding of AI/ML/LLM concepts is helpful and built up in Module 2. Some security or programming background is recommended but not always mandatory. A laptop with stable internet is required for practical sessions.

Upcoming AI Security Course Batches for Pune Learners

Choose a batch timing that fits your schedule. Live online batches, IST timings. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training.

Weekdays

Date Time Trainer Seats Left
16oct 07:30 PM – 08:30 PM Mr. Irshad 01Seat
22oct 02:00 PM – 03:00 PM Mr. Upendra Kumar Tiwari 02Seats
26oct 10:30 AM – 11:30 AM Mr. Irshad 01Seat
30oct 12:00 PM – 01:00 PM Mr. Upendra Kumar Tiwari 02Seats

Weekends

Date Time Trainer Seats Left
27oct 03:00 PM – 05:00 PM Mr. Irshad 02Seats

8+ new batches start every month. All timings are in IST. Seats are limited and updated daily.

Curriculum for AI Security Training Course in Pune

AI Security Course Syllabus in Pune

The syllabus is organised into 13 modules covering 148 hours. The order follows how AI security actually works: foundations → AI/ML/LLM architecture → threat landscape → LLM/GenAI security risks → prompt injection defense → data security → secure RAG → application/API security → adversarial ML → agent access control → security testing → governance/compliance → enterprise capstone. Each module includes practical exercises with real tools, and the program closes with hands-on security case studies and an enterprise AI security capstone.

Module 1: AI Security Fundamentals — 8 Hours

  • Introduction to AI security and its scope
  • How AI security differs from traditional application security
  • Core security principles applied to AI systems
  • AI security roles and responsibilities
  • Overview of AI security frameworks (MITRE ATLAS, NIST AI RMF, OWASP GenAI)
  • Hands-on: setting up a secure AI development environment

Module 2: AI, ML & LLM Architecture Fundamentals — 10 Hours

  • Machine learning basics: supervised, unsupervised, reinforcement
  • Neural networks and deep learning overview
  • Transformer architecture and attention mechanisms
  • LLM training, fine-tuning and inference pipelines
  • Embeddings, vector databases and RAG architecture
  • AI agents, tool use and orchestration frameworks

Module 3: AI Threat Landscape & Attack Surface — 10 Hours

  • Mapping the AI attack surface
  • Threat actors and motivations in AI systems
  • Supply chain risks in AI/ML pipelines
  • Model theft, inversion and extraction attacks
  • Data poisoning and backdoor attacks
  • Using MITRE ATLAS to map AI threats

Module 4: LLM & GenAI Security Risks — 12 Hours

  • OWASP Top 10 for LLM applications
  • Prompt leakage and system prompt extraction
  • Insecure output handling and code injection
  • Training data leakage and memorization
  • Excessive agency and unsafe tool use
  • Hands-on: reviewing an LLM application for OWASP LLM risks

Module 5: Prompt Injection & Jailbreak Defense — 10 Hours

  • Direct and indirect prompt injection techniques
  • Jailbreak patterns and role-play attacks
  • Defense strategies: input filtering, output validation, guardrails
  • Prompt hardening and system prompt design
  • Testing and red-teaming LLM applications
  • Hands-on: building and bypassing a prompt injection filter

Module 6: Data Security & Privacy for AI Systems — 10 Hours

  • Data classification and handling for AI workloads
  • PII detection and anonymization in training data
  • Data leakage through embeddings and vector stores
  • Privacy-preserving techniques for AI
  • Compliance considerations: GDPR, DPDP Act and AI data
  • Hands-on: auditing an AI dataset for privacy risks

Module 7: Secure RAG & Knowledge Systems — 12 Hours

  • Security risks in RAG pipelines
  • Access control and tenant isolation in vector databases
  • Preventing data leakage through retrieval
  • Securing document ingestion and chunking
  • Validating retrieved content and citations
  • Hands-on: hardening a RAG pipeline against injection and leakage

Module 8: AI Application & API Security — 10 Hours

  • Securing LLM APIs and endpoints
  • Authentication, authorization and rate limiting for AI services
  • API key management and secret handling
  • Input validation and output sanitization for AI APIs
  • Logging, monitoring and anomaly detection
  • Hands-on: testing an AI API for common security flaws

Module 9: Model Security & Adversarial ML — 12 Hours

  • Adversarial examples and evasion attacks
  • Model poisoning and backdoor detection
  • Model extraction and inversion attacks
  • Robustness testing and adversarial training
  • Model watermarking and provenance
  • Hands-on: generating adversarial examples against a classifier

Module 10: AI Agents, Tool Use & Access Control — 12 Hours

  • Security risks in AI agents and tool calling
  • Principle of least privilege for agent tools
  • Sandboxing and isolation for agent execution
  • Human-in-the-loop controls for high-risk actions
  • Auditing and monitoring agent behaviour
  • Hands-on: securing a tool-using AI agent

Module 11: AI Security Testing & Evaluation — 12 Hours

  • AI red-teaming methodology
  • Building AI security test suites
  • Automated adversarial testing with Python
  • Evaluating guardrails and filters
  • Reporting and prioritizing AI vulnerabilities
  • Hands-on: running a red-team exercise on an LLM app

Module 12: AI Governance, Risk & Compliance — 10 Hours

  • AI governance frameworks: NIST AI RMF, ISO/IEC 42001
  • AI risk assessment and mitigation planning
  • Regulatory landscape: EU AI Act, DPDP Act and sector rules
  • Model documentation, cards and audit trails
  • Responsible AI principles and ethics
  • Hands-on: building an AI risk register for a sample system

Module 13: Enterprise AI Security Projects & Capstone — 20 Hours

  • End-to-end AI security assessment design
  • Threat modelling + adversarial testing + secure design integration
  • Governance and compliance documentation for capstone
  • Code review and portfolio preparation
  • Presentation and documentation of capstone project
  • Interview preparation around capstone work
# Module Hours Tools
1 AI Security Fundamentals 8 Python, MITRE ATLAS, NIST AI RMF
2 AI, ML & LLM Architecture Fundamentals 10 Python, Hugging Face, OpenAI APIs
3 AI Threat Landscape & Attack Surface 10 MITRE ATLAS, Python
4 LLM & GenAI Security Risks 12 OWASP GenAI, LangChain
5 Prompt Injection & Jailbreak Defense 10 LangChain, Python
6 Data Security & Privacy for AI Systems 10 Python, Hugging Face
7 Secure RAG & Knowledge Systems 12 LangChain, LlamaIndex, Vector DBs
8 AI Application & API Security 10 FastAPI, Burp Suite, Postman
9 Model Security & Adversarial ML 12 Hugging Face, Python
10 AI Agents, Tool Use & Access Control 12 LangChain, LangGraph, Python
11 AI Security Testing & Evaluation 12 Python, Burp Suite, Postman
12 AI Governance, Risk & Compliance 10 NIST AI RMF, Python
13 Enterprise AI Security Projects & Capstone 20 All tools
Total 148 Hours 15+ tools

Contacted by

IR

Mr. Irshad

Curriculum & Technical Reviewer

[8+ Years Of Experience]

Specialization: AI Security, LLM Security, Adversarial ML

Get Your AI Security Certification In Pune

On completing all 13 modules, the assignments and the Enterprise AI Security capstone project, you receive the Uncodemy AI Security Program Certificate. The certificate records the program name, duration, tools covered and completion date. It is verifiable online at certificate.uncodemy.com and provides a record of successful completion of the Uncodemy AI Security program.

The certificate is tied to the practical work completed during the program — including hands-on security case studies, adversarial testing exercises and the 20-hour Enterprise AI Security capstone project. Learners work with Python, OWASP GenAI Security resources, MITRE ATLAS, NIST AI RMF, OpenAI APIs, Hugging Face, LangChain, LangGraph, LlamaIndex, Docker, Git/GitHub, FastAPI, Burp Suite, Postman and cloud security tools.

Key Benefits of Our AI Security Certification:

  • Program Completion :Provides a record of successful completion of the AI Security program.
  • Online Verification :Certificate is verifiable online at certificate.uncodemy.com.
  • Practical Learning :Training includes hands-on security case studies, adversarial testing and an enterprise capstone.

This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of MITRE, NIST, OWASP, OpenAI or any other standards body or vendor whose frameworks and tools are studied in this course. Certificate verification process pending confirmation.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy AI Security Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio/capstone project review:Your hands-on threat modelling, adversarial testing work and enterprise AI security capstone are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around AI security keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:Threat-modelling scenarios, adversarial testing walkthroughs, governance/compliance questions and AI security case studies specific to AI hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, curriculum and technical content are reviewed by Mr. Irshad, with additional review by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our AI Security Training for Pune Learners Today!

Enroll in Uncodemy's AI Security course for Pune learners today! Develop practical skills in threat modelling, prompt injection defense, adversarial ML and secure RAG design through instructor-led live online training, hands-on labs and an enterprise AI security capstone. Start learning AI security through structured training and career preparation.

AI Security Jobs and Career Scope in Pune+

Pune's technology ecosystem — spanning software services, captive centres, fintech, SaaS, healthcare and automotive R&D — is deploying AI/LLM products that increasingly need security review. Companies in Hinjewadi, Magarpatta, Kharadi, Baner and Viman Nagar are building AI copilots, knowledge assistants and document-processing pipelines, and they need engineers who understand prompt injection, data leakage, adversarial testing and secure design. BFSI and healthcare organisations in Pune have AI compliance needs around data privacy, model governance and audit trails. Interviews for AI security roles tend to weight threat modelling, adversarial testing methodology and governance-framework knowledge most heavily. Candidates with security engineering or AI/ML experience plus AI security skills are well-positioned for these roles.

Job Roles After This Course+

AI Security Engineer, LLM Security Engineer, Application Security Engineer (AI), AI/ML Security Engineer, AI Security Analyst and AI Governance/Compliance Analyst are the roles this course maps to. Each role involves securing AI systems, but they differ in the specific AI security components and tools used.
Role Core Tools
AI Security Engineer Python, MITRE ATLAS, NIST AI RMF
LLM Security Engineer OWASP GenAI, LangChain, Python
Application Security Engineer (AI) Burp Suite, Postman, FastAPI
AI/ML Security Engineer Hugging Face, Python, Adversarial ML Tools
AI Security Analyst Python, MITRE ATLAS, Burp Suite
AI Governance/Compliance Analyst NIST AI RMF, Python, Documentation Tools
Most graduates start as an AI Security Engineer, LLM Security Engineer or AI Security Analyst and move into the others with two to four years of experience, as they build depth in a specific AI security domain. Progression typically involves owning larger security programs, leading red-team exercises, and specialising in governance, adversarial ML or secure AI architecture.

AI Security Engineer Salary in Pune — Role-wise+

Salaries in Pune vary by experience level, sector and how strong your AI security skills are. The gap between the lowest and highest earners at the same title is often wider than freshers expect.
Role Salary Range
Entry-Level AI Security Analyst₹5–9 LPA
AI Security Engineer₹8–16 LPA
Application Security Engineer (AI)₹8–18 LPA
LLM Security Engineer₹10–20 LPA
AI/ML Security Engineer₹10–22 LPA
Senior AI Security Engineer₹18–30 LPA
AI Security Architect₹25–40 LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026.

Salary ranges are indicative market ranges and should not be presented as guaranteed placement outcomes. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Sectors Hiring AI Security Talent in Pune+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Pune specifically, AI security demand is emerging in:
  • IT services and global capability centres — Hinjewadi, Kharadi and Magarpatta, securing enterprise AI deployments
  • Product companies and SaaS startups — securing AI copilots, RAG features and document Q&A systems
  • BFSI and fintech — AI security review, model governance and regulatory compliance
  • Healthcare and life sciences — securing AI for diagnostics, patient data and research pipelines
  • Automotive and manufacturing-tech — securing AI for diagnostics, documentation and industrial knowledge bases
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your capstone project toward the one or two sectors you're most interested in.

How to Become an AI Security Engineer — Step by Step+

Becoming an AI security engineer is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  • AI/ML/LLM architecture fundamentals— neural networks, transformers, embeddings and agents.
  • AI threat landscape— attack surface mapping, threat actors and MITRE ATLAS.
  • Prompt injection & jailbreak defense— injection patterns, guardrails and prompt hardening.
  • Data security & privacy— PII handling, leakage prevention and compliance basics.
  • Secure RAG & application security— retrieval access control, API security and input validation.
  • Adversarial ML & agent access control— adversarial examples, tool sandboxing and least privilege.
  • Security testing, governance & capstone— red-teaming, NIST AI RMF, risk registers and the enterprise project.
Typical timeline: 5–6 months of consistent study to reach interview-ready standard, assuming focused hours most days rather than occasional binge sessions.

How This Course Compares to Other AI Courses in Pune+

Pune has dozens of AI training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration5–6 months
Learning hours148+
Live sessions90+
Tools15+
Capstone20-hour Enterprise AI Security project
Career supportDedicated Career & Placement Assistance
Compared to Uncodemy's AI Testing course (1.5 months, focused on functional/QA testing of AI systems for accuracy and hallucination), LLM Engineering course (5–6 months, focused on building, fine-tuning and deploying LLM-powered applications) and RAG Engineering course (5–6 months, focused on retrieval-grounded AI systems), this AI Security program is the most specialised in security — it includes dedicated modules on prompt injection defense, adversarial ML, secure RAG, AI governance and compliance. If your goal is a full AI security career transition, this is the right fit. If you are QA-focused, AI Testing is a closer match. If you want broad LLM application development, LLM Engineering is a closer match. If you are building retrieval systems, RAG Engineering is a closer match.

Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick AI security awareness rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

Offline classroom is available at our Delhi and Noida centres; Pune learners typically join live online. Live online gives you the same instructor-led experience with zero commute, and all sessions are recorded for revision. Offline suits learners who prefer face-to-face interaction and are based near Delhi or Noida. Hybrid is not currently offered for this program. For Pune-based working professionals, live online is usually the most practical choice — you get real-time doubt clearing, hands-on labs and lifetime access to recordings without travelling.

Is this course right for you?+

If you want... Recommend
Full AI security specialisation This program
Already a security professional wanting to add AI-specific skills This program
Only functional/QA testing of AI systems Consider AI Testing course instead
Building AI applications and want security awareness only Consider a shorter module rather than the full program

Frequently Asked Questions

1. What is the duration of the AI Security course in Pune?▼

The program runs for 5–6 months and includes 148+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available.

2. Do I need a security or AI/ML background?▼

A basic understanding of AI/ML/LLM concepts is helpful and built up in Module 2. Some security or programming background is recommended but not always mandatory. A laptop with stable internet is required.

3. What tools are covered in this course?▼

15+ tools including Python, OWASP GenAI Security resources, MITRE ATLAS, NIST AI RMF, OpenAI APIs, Hugging Face, LangChain, LangGraph, LlamaIndex, Docker, Git/GitHub, FastAPI, Burp Suite, Postman and cloud security tools.

4. Does the course cover prompt injection and jailbreak defense?▼

Yes. Module 5 covers Prompt Injection & Jailbreak Defense (10 hours). It is a core component of the curriculum with hands-on exercises.

5. What is the capstone project?▼

The capstone is Module 13: Enterprise AI Security Projects & Capstone (20 hours). You build an end-to-end AI security assessment applying threat modelling, adversarial testing, secure design and governance.

6. Are the classes live or pre-recorded?▼

All 90+ sessions are live and instructor-led, with recordings available afterwards for revision.

7. What is the fee for the AI Security course in Pune?▼

The program fee is ₹17,500 plus 18% GST. Total fee is ₹20,650. The same fee applies in all modes and cities.

8. Are EMI options available?▼

EMI starts from ₹4,032 per month. The exact amount, tenure and eligibility depend on the applicable payment or financing option — a counsellor can confirm your plan.

9. Is there a demo or trial class before I enrol?▼

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?▼

We provide Dedicated Career & Placement Assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment.

11. Can I get an entry-level AI Security Analyst role after this course?▼

Entry-level AI Security Analyst roles in the market range around ₹5–9 LPA (indicative). Outcomes vary by skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

12. What is the salary of an AI Security Engineer in Pune?▼

Indicative market ranges: Entry-Level ₹5–9 LPA, AI Security Engineer ₹8–16 LPA, Senior AI Security Engineer ₹18–30 LPA, AI Security Architect ₹25–40 LPA. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary.

13. What job roles can I apply for after this course?▼

AI Security Engineer, LLM Security Engineer, Application Security Engineer (AI), AI/ML Security Engineer, AI Security Analyst and AI Governance/Compliance Analyst.

14. Who is eligible for this AI Security course?▼

Security professionals upskilling into AI security, AI/ML engineers wanting security specialisation, developers building AI systems who need security fundamentals, and working professionals moving into AI risk/compliance roles.

15. Are the salary, placement and review figures on this page guaranteed?▼

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.

16. Is classroom training available in Pune?▼

This course is delivered live online nationwide, including for Pune learners. Classroom training is available at our Delhi and Noida centres for other courses. Pune learners typically join live online.

17. Is Uncodemy's AI Security certificate affiliated with MITRE, NIST or OWASP?▼

No. This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of MITRE, NIST, OWASP or any other standards body or vendor whose frameworks are studied in this course.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by:Mr. Rahul
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by:Mr. Irshad
  • Technical content verified by: Mr. Irshad
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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Nearest Classroom Training Centres

The AI Security course is delivered fully live online. Pune learners typically join live online, and our nearest classroom training centres for other courses are in Delhi and Noida. Uncodemy's Delhi centre is located on the 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, Shakarpur Extension — a 10–15 minute walk from Nirman Vihar Metro Station and Laxmi Nagar Metro Station. Uncodemy's Noida centre is at B 14-15, Udhyog Marg, Block B, Sector 1, Noida.

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Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Free demo classWalk-ins welcomeWheelchair accessible
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