Generative AI Course for Cyber Security Professionals in Gurgaon
AI is the future innovation with Agentic AI tools and frameworks (n8n, Auto-Gen) for intelligent automation. We are delivering this training in Gurgaon where-in core Gen AI principles using patterns like multi-agents, reflection & others will be taught using hands-on training to become a Gen AI Engineer.
- Get mastery in building Agentic AI workflows for intelligent automation & to drive key businesses powered through agentic ai frameworks like n8n & others.
- Experience blended learning through interactive offline and online sessions.
- Job Oriented Training Course
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Trained through leading industry professionals to get realtime project exposure
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Generative AI for Cyber Security Professionals Course Overview
Kickstart your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent workflows like n8n, Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
- Self-paced videos & training materials with archived session recordings
- Success Aimers targets industry employers to gain visibility
- Industry-paced training with realtime scenarios using Agentic AI frameworks/tools (n8n, Microsoft AutoGen, Langchain, LangGraph, AWS Bedrock, Azure Open AI & others) for intelligent automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- 24/7 Q&A support sessions
- Job Interview preparation & use cases
Explain Gen AI Engineer?
AI Engineers automate business processes via AI development frameworks (Agentic AI) like n8n, Microsoft Auto Gen, Lang chain, Lang Graph, AWS Bedrock, Azure Open AI and others for intelligent automation that will allow organizations to boost decision making and also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment and maintain the AI development life cycle to deliver high-précise solutions to the clients using Agentic AI frameworks/workflow builders.
Role of Gen AI Engineer?
Generative AI Engineers manages the end-to-end AI development life cycle using Agentic AI frameworks and intelligent workflow strategies.
Responsibilities include:
- Agentic AI Tools Adoption & automation using patterns like RAG, Tools, Reflection and others
- Continuously exploring new AI based frameworks/tools to build optimized workflows
- Deploying AI model within cloud infrastructure securely & seamlessly.
- Develop and Design AI workflows that meets business needs with automation scripts
- Success Aimers helps aspiring AI professionals to build, deploy, manage these Agents effectively seamlessly and to scale as per business needs.
Who should opt for Gen AI Engineer course?
Gen AI course accelerates/boost carrier in AI & technology-driven organizations
- AI & Application Engineers – Develop Agentic AI workflows to automate business processes.
- Data Engineers – Implementing Data Pipelines using AI
- AI Developers – Automated workflows using Agentic AI frameworks/tools
- AI Leaders – Leading AI Governance and initiative within enterprise.
- Cloud and Infrastructure Engineers – Deploying AI developed applications seamlessly and effectively.
Prerequisites of Gen AI Engineer Course?
Prerequisites required for the Generative AI Engineer Certification Course
- Below is the prerequisite to become a successful AI Professional:
- High School Diploma or a undergraduate degree
- Python Programming language
- IT Foundational Knowledge along wit Data Science and Software Development skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after Gen AI Engineer Certification Course?
Job Career Path in Generative AI and N8N Automation
- Generative AI Engineer – Develop & Deploy AI developed solutions/applications using agentic frameworks/tools
- AI/ML Engineer – Build context-aware, Enterprise ready AI systems.
- AI Automation Engineer – Design, Developed and build automated workflows to drive key business processes/decisions
- Cloud AI Engineer / AI Cloud Architect – Deploy AI Solutions seamlessly and effectively across enterprises with AI Governance strategy
- AI Model Deployment Engineer – Automate Model Deployment and AI Life cycle management via ML Ops pipeline and Agentic AI Frameworks
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Generative AI for Cybersecurity Professionals Certification Course Curriculum
Start your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent
workflows like n8n, Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Foundations of Generative AI in Cybersecurity
- Introduction to Gen AI for Cybersecurity
- Traditional AI to Generative AI : A Cybersecurity
- Cybersecurity in the Generative AI Era : What lies Ahead
Risks and Threats in the Generative AI Landscape
- The Evolution of Prompt Injection Attacks in Generative AI
- Generative AI and LLM Risks : A Cybersecurity Perspective
- Understanding Security Risks in Generative AI Tools
- Harnessing Generative AI for Cybersecurity Analytics
- Defending against NLP-Based attacks in Generative AI
Applications of Generative in Cybersecurity
- Unlocking Generative AI's Full potential in Cybersecurity
- Incident Response and Forensic Analysis : A Quick Overview
- Streamlining Cybersecurity Reporting and Playbooks with Gen AI
- Incident Triage, Log Analysis and Investigations with Gen AI
- Boosting Vulnerability Management using Gen AI
Advanced Techniques and Integrations
- Advanced Threat Detection with Generative AI in SIEM systems
- Integrating Generative AI into SIEM Workflows : A Practical Guide
- Cracking UEA Challenges with Generative AI
- Generative AI in Cybersecurity : Issues, Concerns and Best Practices
Generative AI Security Risks
- Identifying the Unique Security Risks Posed by Generative AI
- Exploring Case Studies of Generative AI-related Cyber Threats
- Adversarial attacks and model manipulation
Transforming the Cybersecurity Industry
- Predictions and Insights on How Generative AI
- Anticipated advancements and challenges in the near future
- The changing landscape of AI-powered Cyber defense
Defensive Mechanisms and Best Practices
- Understanding the state-of-the-art defensive mechanisms against Generative AI
- Automated Threat Detection and Response
- Cyber Attack Simulations
- Predictive Analysis
- Phishing strategies for mitigating security risks
- Access Controls
- Proactive strategies for mitigating security risks
- Leveraging Generative AI for Cyber defense and Anomaly Detection
Future Trends in Generative AI Cybersecurity
- Exploring emerging trends and research directions
- AI Powered Cyber Security
- Quantum-Safe Encryption
- Cybersecurity in the Internet of Things (IoT) Era
- Cyber-Physical System Security
- Privacy-Preserving Technologies
- The Ethics of AI
- The intersection of Generative AI with other Cybersecurity Technologies
- Enhancing Block chain Security
- IOT Security
- Intelligent Cyber Threat Hunting
- Behavioral-Based Authentication
- Ethical considerations and responsible AI Practices in Cybersecurity
- Importance of transparent AI algorithms in Cybersecurity
- Ensuring Data Privacy
- Accountability and Human Oversight
- Ethical AI Development and Deployment
Business & Support AI Agents – Automate Your Workflows
- Build a Fully Automated Onboarding System for New Clients
- Create an AI Agent to Track and Manage Finances
- Develop a WhatsApp AI Agent that Remembers Conversations (Using Supabase)
- Inbox Manager: Sort All Emails with a Single Click
- Resume Analyzer Workflow: Recruit 10x Faster with AI
- Build an AI Invoice Processing System in n8n
- Automate Monthly Invoice Summaries with AI
- Step-by-Step Guide: Create a Powerful Real Estate AI Agent
- Generate Unlimited Business Ideas with an AI Agent
- Build an AI Agent to Send Alerts for New YouTube Videos
- Capture Unlimited Business Leads with AI Agents
- Nutritionist AI Agent: Your 24/7 Personal Diet Coach
AI Agents for Visual & Social Media Creation
- Turn Any Product Image into Viral Ads with n8n Automation
- Build Your Own Image Generator App with Lovable & GPT Image 1
- Create a System for Generating Viral YouTube Videos
- AI Agent for Perfect T-Shirt Mockup Designs
- Monetize Automation: Make Passive Income with AI Workflows
- Generate Viral YouTube Shorts with n8n & Minimax Hailuo
- Use Kling 2.1 + n8n to Produce High-Quality AI Videos
- Ultimate LinkedIn Automation: Streamline Content Creation
- Create Autopilot Videos with Your AI Clone
- Seedance: Generate Viral Videos 25x Cheaper than Veo3
- Build a System for Stunning YouTube Thumbnails
- ASMR Video Generator with AI
- Connect n8n to Any Social Media Platform for Automated Posting
- AI LinkedIn Agent: Write Viral Posts Backed by Data
RAG & Research AI Agents – Smart Data & Automation Workflows
- Build Your First RAG Agent Using n8n & Pinecone
- Create the DeepSeek R1 Planner AI Agent
- Develop an AI Agent That Remembers Everything (Supabase VB + PostgreSQL)
- Build a DeepSeek R1 WhatsApp AI Agent for Planning & Research
- WhatsApp AI Agent for Customer Support & Low-Ticket Sales
- Day Trading AI Agent – Automate Smarter Real-Time Trading
- n8n Twitter/X AI Agent – Track the Hottest News Instantly
- n8n Spotify AI Agent – Build Smart Playlists on Autopilot
- Advanced AI Projects – Agent Teams, MCP & Next-Level Automations
Advanced AI Projects – Agent Teams, MCP & Next-Level Automations
- Build a Powerful System for Publishing Viral YouTube Shorts
- Create Human-in-the-Loop (HITL) AI Agents
- AI System Cloning a 127M-View TikTok Account
- Build Your First Team of AI Agents
- Generate Viral Social Media Posts with the Perplexity AI Agent
- Introduction to MCP (Model Context Protocol) & Its Use in n8n AI Agents
- MCP WhatsApp AI Agent: Images, Voice, Tools (Part 1)
- Set Up Your MCP Server & Connect AI Agents (Part 2) + Claude Desktop App & Cursor Integration
- Transform AI Assistants into Full AI Agents Using MCP (Claude & ChatGPT)
- MCP Toolkit: Using Verified MCP Servers via Docker Desktop App
- Web Scraping with Apify’s MCP & Claude Desktop
- Create Complex Automations on Autopilot Using n8n MCP (Claude Desktop or Cursor AI)
- Supercharge n8n MCP with 2000+ Workflows & Documentation
- Integrate n8n MCP with Cursor + Context7 to Enhance Documentation Access
- New AI Agents & AI Automations Builds Coming Soon!
Build AI Voice Agents with n8n, Retell AI, Eleven Labs & VAPI
- AI Agent for Tracking Expenses Effortlessly
- Multichannel RAG Agent Powered by Pinecone
- Automated Invoice Extraction AI Agent
- Lead Generation AI Agent Using Apollo (Apify)
- Collaborative Team of Email AI Agents
- Voice AI Agent for Website Support & Low-Ticket Sales
- AI Voice Booking Agent Using VAPI
- Apollo Lead Scraper Integrated with Airtable
- Web Research AI Agent for Quick Insights
- SEO AI Agent for Keyword Research & Article Creation
- Lead Generation Agent Using Perplexity Sonar API & Google Maps
- LinkedIn AI Agent for Targeted Lead Generation
- Deploy 10+ AI Agent Templates Instantly for Your Business
Ready-to-Use Premium AI Agents & Automation Templates
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Generative AI Certified Professional.
With the AI Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Agentic AI
- Gen AI
- RAG
- N8N Autmoation
- Lang Chain
- Lang Graph
- Lang Flow
- Lang Smith
- Crew AI
- Agentic Automation Frameworks
- MCP (Model Context Protocol)
- Cursor AI
- Claude AI
- AWS Bedrock
- chatGPT
- Google Gemini
- Azure Open AI
- Vector DB's
- Pinecone
- Agentic AI Patterns
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Gen AI/Agentic AI course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AI & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Gen AI engineer?
To become a successful Gen AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Gen AI implementation?
- Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Gen AI Certification Course reviewed by learners?
Our Gen AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to AI.
Also our training curriculum has been reviewed by alumni & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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