Google Cloud
Scalable cloud infrastructure for enterprise-grade AI workloads.
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Technology Ecosystem
Lotus Cloud composes secure AI, analytics, productivity, and cloud foundations across the world’s leading enterprise platforms.
Scalable cloud infrastructure for enterprise-grade AI workloads.
Collaboration and productivity services connected to secure AI workflows.
Managed machine learning platform for governed model delivery.
Multimodal model capabilities for reasoning, generation, and agents.
Realtime application services for rapid, production-ready delivery.
Analytics at scale for governed insights and AI-ready data foundations.
Business intelligence experiences for transparent enterprise decisions.
Secure endpoint management and browser controls for modern work.
Flexible cloud services for resilient, multi-platform enterprise delivery.
Hybrid cloud services that support governed AI and application estates.
Leadership

Dr. Veera B. Dasari
CEO & Chief Architect
Lotus Cloud, Inc.
Dr. Veera B. Dasari serves as the CEO & Chief Architect of Lotus Cloud, Inc., leading the design and delivery of Enterprise AI, Google Cloud, and intelligent automation solutions.
With nearly three decades of technology leadership, he specializes in Enterprise Architecture, Google Cloud, Vertex AI, Gemini, Multi-Agent AI, and production-scale enterprise transformation.
His vision is to empower organizations with secure, scalable, and human-centered AI platforms.
29+ Years IT Leadership
Enterprise AI Strategist
Google Cloud Champion Innovator
Google Cloud Professional Architect
AWS Solutions Architect Professional
CEO & Chief Architect
Lotus Cloud Academy presents
Where Learning Becomes Enterprise Experience.
Don’t just learn the technology. Build with it. Move from guided foundations and certification preparation into hands-on labs, architecture practice, mentored delivery, and portfolio-ready enterprise work.
Learn. Build. Certify. Deliver.
Beyond Training. Beyond Certification.
Lotus Cloud Academy provides the learning and certification foundation. Enterprise Residency adds immersive, mentored professional experience.
Brand architecture
The experience is designed as a progression, not a shortcut. Participants build knowledge, practice under guidance, and demonstrate professional delivery habits within approved project scope.
The Residency journey
Professional delivery practices
Beyond Training. Beyond Certification.
Builds knowledge through instruction, demonstrations, exercises, and course completion.
Extends learning through mentored labs, architecture decisions, review cycles, approved project exposure, and professional delivery evidence.
Academy foundations
Build the technical foundation required for advanced labs, certification preparation, and enterprise delivery practice.
Core cloud services, IAM, networking, operations, and cost-aware design.
Guided implementation patterns for managed AI and generative applications.
Responsible solution design, evaluation, integration, and governance.
Secure, scalable, resilient, and observable cloud-native systems.
Orchestration, tool use, guardrails, testing, and human oversight.
Architecture communication, decision records, delivery planning, and stakeholder readiness.
Google Cloud certification preparation
Lotus Cloud provides guided preparation, labs, and review support. Google Cloud awards its certifications; participation does not guarantee an exam result or certification.
Signature experiences
Focused tracks combine guided learning with hands-on practice and professional delivery habits.
Practice enterprise AI platform architecture through guided solution design, integration patterns, governance, testing, and delivery reviews.
Develop professional cloud engineering habits through Google Cloud labs, secure architecture, automation, observability, and documented delivery.
Corporate Enterprise Residency
Private programs can combine Academy foundations, labs, architecture practice, mentoring, and delivery simulations around an approved organizational scope.
Request a Corporate Residency PlanEnterprise Residency Programs
Each track combines practical labs, mentoring, review checkpoints, and an admissions path for individuals or enterprise cohorts.
AI and agentic systems that perceive context, reason, and support action in physical environments through cloud-based labs and architecture exercises.
Audience
Engineering teams, Automation teams, Applied AI practitioners
Duration
6 weeks
Prerequisites
Programming fundamentals, Cloud basics, Linux command line
Pricing
Contact Residency Admissions
Hands-on Labs
Guided cloud labs and simulations; no specific hardware access is promised.
Enterprise Project Experience
A supervised concept or simulation may be reviewed within approved cohort scope.
Certification Alignment
Aligned to enterprise AI engineering and cloud deployment competency tracks.
Google Cloud certification preparation combined with labs, mentoring, architecture, and enterprise delivery practice.
Audience
Cloud engineers, Solution architects, AI platform teams
Duration
12–16 weeks
Prerequisites
Intermediate cloud knowledge, Application deployment experience, Comfort with APIs and data workflows
Pricing
Contact Residency Admissions
Hands-on Labs
Guided labs spanning approved Google Cloud, application, data, AI, and delivery workflows.
Enterprise Project Experience
Supervised solution work with delivery checkpoints and architecture feedback.
Certification Alignment
Preparation may cover official Google Cloud credentials selected for the participant’s role.
Mentored delivery artifacts, implementation workflows, testing, review cycles, and professional readiness.
Audience
Students, Graduates, Working professionals
Duration
8 weeks
Prerequisites
Basic software development, Version control familiarity, Cloud fundamentals
Pricing
Contact Residency Admissions
Hands-on Labs
Delivery labs on API integration, workflow automation, and quality validation.
Enterprise Project Experience
Selected Enterprise Residency participants may receive guided exposure to approved Lotus Cloud enterprise projects, subject to project scope, confidentiality requirements, access controls, and cohort eligibility.
Certification Alignment
Complements cloud and AI certification preparation through applied practice.
Cloud and AI capability development with mentoring, labs, architecture, governance, and reviewed outcomes.
Audience
Working engineers, Team leads, Consulting professionals
Duration
10 weeks
Prerequisites
Development experience, Cloud account setup, Availability for weekly labs
Pricing
Contact Residency Admissions
Hands-on Labs
Structured hands-on labs with checkpoints and technical feedback.
Enterprise Project Experience
A guided capstone mapped to approved enterprise implementation standards.
Certification Alignment
Mapped to professional cloud and AI competency outcomes.
Discover
Program selection
Review
Curriculum and pricing
Apply
Submit Residency details
Confirm
Admissions response
Onboard
Cohort kickoff
Enterprise Residency Admissions
Share your program interest and goals. We will follow up with eligibility, schedule, and next-step guidance.
Free Architecture Consultation
Work directly with Lotus Cloud to define platform strategy, governance, rollout priorities, and the fastest path to production value.