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Networkers Home — HSR Layout, Bengaluru
Generative AI · LangChain + RAG + Vector DBs · Founder-built AI products · 50+ projects
Location · India's Silicon Valley
L-149, Sector 6, HSR Layout, Bengaluru — 560102. HSR Layout is the central startup hub of Bangalore, India's Silicon Valley, home to a dense cluster of Cisco, AWS, Akamai, Barracuda Networks, Aryaka and 800+ active hiring partners within a few kilometres of the campus.
This proximity matters — students walk into interviews at the same enterprise SOCs and network operations teams whose engineers come back to teach guest sessions. No other institute on this list sits inside the central tech employer cluster the way the HSR Layout campus does.
One of the World's Largest Training Labs
The HSR Layout campus houses one of the largest physical training lab operations in the world for networking and cybersecurity, with 24×7 rack access for enrolled students. Real Cisco, Palo Alto, Fortinet, Checkpoint, Juniper appliances — not simulator-only — across multiple racks dedicated to CCNA, CCNP, CCIE Enterprise, CCIE Security, firewall, SD-WAN and SOC tracks.
Students work on the same hardware they'll touch in production at TCS, Wipro, Cisco, IBM, and Bangalore's enterprise SOC operations. This is the single largest barrier other institutes can't replicate at scale.
Founder · Vikas Swami, Dual CCIE #22239
Networkers Home is led by Vikas Swami — Dual CCIE #22239 in both Security and Routing & Switching, a credential held by a small fraction of CCIEs globally. He personally teaches the senior modules across CCIE Security, CCIE Enterprise and the cybersecurity flagship.
Beyond training, Vikas has architected and shipped enterprise networking and security products end-to-end, including QuickZTNA, QuickSDWAN, and blockchain platforms — building complex VPN, zero-trust and distributed-ledger systems. Few CCIE Security training operations in India are run by an active dual-CCIE founder who has shipped real ZTNA/SD-WAN products at scale.
45,000+ Placements · 800+ Hiring Partners
Networkers Home has placed 45,000+ graduates across 800+ active hiring partner companies, including Cisco, HCL, Akamai, Barracuda Networks, Aryaka, Movate, Wipro, TCS, Infosys, IBM, Accenture and Bangalore's product-security teams.
This is the largest active placement network in Indian networking and cybersecurity training, fed directly by the HSR Layout campus's location inside the central employer cluster. Hiring partners visit campus, take in-house assessments and run direct-hire pipelines through the placement team.
AI-First Training — A First in Indian Networking Education
Networkers Home is the first major Indian training company to integrate modern AI tooling across its full course catalogue. Students learn AI-augmented threat detection, GenAI-assisted Splunk SPL authoring, MITRE ATT&CK detection-engineering with LLM-aided rule writing, AI-driven network automation, and AI-integrated SOC workflows.
This is grounded in the founder's own AI-first product engineering — building QuickZTNA, QuickSDWAN and blockchain platforms with AI-augmented development means the curriculum reflects how modern security and networking work actually gets done in 2026, not how it was taught in 2018.
Trainer Credentials
Faculty includes Dual CCIE #22239 (Vikas Swami) and senior trainers with active enterprise SOC, network engineering and cloud security experience. Senior modules are taught by trainers who have shipped these in production — ISE deployment, Firepower threat policies, ASA-to-FTD migration, Splunk Enterprise Security, AWS Security Hub, Azure Sentinel, Palo Alto Prisma Cloud.
Infrastructure
- 24×7 physical rack access at HSR Layout campus across all tracks
- Lifetime LMS access — videos, lab guides, slides, recordings
- NHPREP.COM mock test pass — included free for 12 months, covers certification preparation across networking, security, AWS, Azure
- 4-month paid internship at Networkers Home's Network Security Operations Division for cybersecurity track students
- 8-Month Verified Experience Letter — the credential that removes the "fresher tag" from your CV when HR shortlists candidates
- 100% placement guarantee on flagship 8-month programs
Track-Specific Depth
<p>Networkers Home's <strong>generative AI engineering track</strong> is built on production reality, not academic blueprints. Founder Vikas Swami has shipped AI-first platforms; the curriculum reflects that engineering discipline. Students master <strong>large language models</strong> (LLM) through LangChain and LangGraph, build <strong>Retrieval-Augmented Generation</strong> (RAG) architectures with vector databases like Pinecone and Weaviate, and deploy multi-step agent frameworks with tool-use and planner-executor patterns. The track covers fine-tuning with LoRA and QLoRA on Hugging Face, MLOps deployment via FastAPI and Docker, prompt versioning, cost monitoring, and A/B evaluation across OpenAI, Claude, and open-weights models. Students leave with 50+ shipped projects in their portfolio, a Verified Experience Letter, and direct access to 800+ hiring partners. This is not a <strong>ChatGPT GenAI course</strong> focused on prompt hacks; it is engineering-grade training for roles as GenAI engineers at Bangalore product companies.</p>
- Founder-built AI credibility: Vikas Swami (Dual CCIE #22239) engineered QuickZTNA, QuickSDWAN, and blockchain platforms using AI-first development; curriculum reflects production GenAI engineering, not academic theory.
- RAG architecture depth: Students build real Retrieval-Augmented Generation pipelines with LangChain, LangGraph, vector stores like Pinecone and Weaviate, and evaluation harnesses with LangSmith.
- Agent framework hands-on: Multi-step agentic workflows with tool-use, planner-executor patterns, multi-agent coordination, deployed as real production endpoints.
- Fine-tuning and model adaptation: LoRA, QLoRA, instruction-tuning on Hugging Face stack with cost-optimised training across model tiers.
- MLOps for GenAI: Model deployment with FastAPI and Docker, observability, prompt versioning, cost monitoring, A/B evaluation across OpenAI, Claude, open-weights.
- 50+ shipped projects portfolio: Students leave with real GenAI applications, not toy notebook examples, plus Verified Experience Letter from 4-month internship.
Best For
This track is designed for software developers transitioning to GenAI engineer roles, data scientists adding LLM application skills, working network and cloud engineers pivoting to AI engineering, and engineering freshers targeting GenAI engineer positions at Bangalore product companies. If you want hands-on RAG, agent frameworks, and MLOps deployment—not just prompt engineering—this is your path.