Where intelligence is tested, challenged, and reshaped in real-world conditions.
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Early Enrollment Offer: Avail 10% OFF on the Elite Course by enrolling early.
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JOIN NOWTRAINING BLUEPRINT
6 weeks embedded in production-grade systems, working through real enterprise scenarios that mirror scale and complexity.
Duration
6 Weeks
New Batch
01 Nov 2025 · 7:00 PM IST
Weekdays
Self-paced mastery
Saturdays
Real-world fire drills
Sundays
Mock interviews, RCA drills, war rooms
Sunday Bonus
Deep-dive real production projects
Anytime
Live production incident resolution
Weekly Call
Live project guidance & discussion
Featured Courses
Learn systems, not shortcuts. Designed for real-world pressure and production thinking.
Be Part Of Our Global Immersion Programs
Discover the world through educational travel experiences that inspire and educate.
LEARN EVERYDAY
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1
Linux & Networking Fundamentals
OBJECTIVE:
Build strong foundations of Linux, networking and system internals.
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Saturday
- -Linux architecture
- -Filesystems & permissions
- -Processes & systemd
- -Package management
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Sunday
- -TCP/IP basics
- -DNS fundamentals
- -Subnetting
- -Network troubleshooting tools
ENGINEER INTELLIGENCE UNDER PRESSURE
Move beyond prompts and tutorials.
Learn to reason, respond, and adapt when real AI systems break, drift, or fail.
Simulation Scenarios
Pressure-driven AI problem spaces designed around:
Inside the playbook
- ●Model behavior under ambiguity
- ●Prompt & context failure analysis
- ●System-level reasoning (not isolated outputs)
- ●Debugging hallucinations & drift
- ●Explaining decisions under constraints
Intelligence Briefings
Collaborative breakdowns of real GenAI situations:
Inside the playbook
- ●Live scenario walkthroughs
- ●Peer-led system analysis
- ●Tradeoff discussions (accuracy vs latency vs cost)
- ●Failure postmortems & redesigns
Decision-Making Frameworks
Train how to think when AI systems misbehave:
Inside the playbook
- ●RCA templates
- ●Priority triage
- ●Escalation path thinking
- ●Communication under failure
AI SYSTEMS BREAKDOWN
Every session includes a structured breakdown of real AI systems:
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Data Layer
Database design, caching strategies, data consistency.
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Service Mesh
Microservices communication, load balancing.
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Observability
Monitoring, logging, tracing, alerting.
⚙️
Infrastructure
IaC, container orchestration, scaling.
PRACTICAL PROBLEM-SOLVING
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Incident Analysis
Root cause identification and impact assessment.
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System Debugging
Tracing failures across distributed systems.
3
Preventive Design
Design patterns to avoid repeated failures.
PRODUCTION-GRADE AI SYSTEMS
Go beyond models and prompts. Work through real AI systems shaped by scale, constraints, and real-world usage.
~/ai-systems/large-scale-genai-systems
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Large-Scale GenAI Systems
Understand how complex AI systems behave at scale.
KubernetesHelmGitOpsMulti-CloudSecrets Management
~/ai-systems/llm-infrastructure
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LLM Infrastructure
Design infrastructure to serve LLMs reliably.
CUDATritonRayK8s
~/ai-systems/ai-observability
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AI Observability
Monitor, debug and improve AI systems.
PrometheusGrafanaOpenTelemetry
MEET YOUR AI SYSTEMS MENTOR
Learn from someone who has worked inside real AI systems making decisions where accuracy, reliability, and responsibility matter.
★Pankaj Kharkwal
👨💻 Tech Lead | Cloud Architect | AI Engineer
Founder of Pankh.ai · Ex-Microsoft
🚀 Over Decade of experience delivering scalable, secure, and AI-powered solutions across global enterprises and fast-paced startups.
$ current_role
Tech Lead at a US-based Product Company, leading core backend and platform engineering, driving innovation in cloud and AI-based solutions.
$ tech_stack
PythonJavaAWSGCPKubernetesGen AI
$ specializations
- ›Real-time analytics & forecasting systems
- ›Cloud-native architectures with compliance
- ›Gen AI-powered backend systems
$ previous_companies
Microsoft · Citrix · Oracle · EY
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AREAS OF EXPERTISE
- -Large Language Models (LLMs)
- -GenAI system design
- -Prompt & context engineering
- -AI evaluation and reliability
- -Enterprise-scale system thinking
- -Responsible AI deployment
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REAL-WORLD EXPERIENCE
- 1.Microsoft – Built cloud-native workflows and infrastructure tooling
- 2.Citrix – Engineered partner platforms at scale
- 3.Oracle – Designed CRM and backend microservices
- 4.EY – Delivered secure financial cloud platforms
- 5.Mentored engineers transitioning into AI-first roles
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About & Contact
- 1.Role: Tech Lead | Cloud Architect | AI Engineer
- 2.Location: Remote
- 3.Experience: 9+ years
- 4.Cloud: AWS, GCP, Azure
READY TO GO BEYOND THEORY?
Work through real GenAI scenarios guided by real-world experience.
WHAT THIS EXPERIENCE BUILDS
A complete AI systems toolkit.
Every framework, decision pattern, and real-world scenario needed to operate GenAI systems under pressure.
Weekly AI Simulations
Live, scenario-driven exercises built around real GenAI challenges:
- ●Model behavior under ambiguous prompts
- ●Handling hallucinations and edge cases
- ●Decision-making with incomplete signals
- ●Time-bound system reasoning
- ●Evaluating AI responses under pressure
Scenario-Based Evaluations
High-intensity assessments with real-time feedback:
- ●AI system design challenges
- ●Failure analysis & recovery planning
- ●Prompt and context optimization
- ●Explaining decisions clearly and defensibly
- ●Depth checks on system-level thinking
Collaborative Intelligence Sessions
Group-based reasoning and breakdowns:
- ●Multi-perspective problem solving
- ●System design discussions
- ●Tradeoff debates (accuracy, cost, latency)
- ●Failure postmortems
- ●Collective pattern recognition
Real-World GenAI Insights
Learn how AI systems are actually used in production:
- ●Multi-model architectures
- ●Safety and misuse considerations
- ●Cost and performance constraints
- ●Human-in-the-loop design
- ●Production lessons from real deployments
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READY TO OPERATE AI BEYOND THEORY?
Stop learning AI from isolated tutorials.
Start working through real GenAI scenarios shaped by production constraints, tradeoffs, and responsibility.
Immediate Access
Get instant entry into live AI simulations no waiting, no staged examples, no fluff.
Real-World AI Experience
Work through real GenAI behavior, failures, and edge cases not toy prompts or scripted outputs.
Career Acceleration
Build system-level AI judgment that sets you apart from prompt users and tutorial followers.
FREQUENTLY ASKED QUESTIONS
Everything you need to know about learning AI in real-world systems.
Curated FAQs for You
Click a question to get instant, clear answers