Kickstart Your AI-Powered Career

From individual AI bootcamps and custom corporate training to Claude Certified Architect preparation β€” AiVerse delivers hands-on, expert-led AI education that transforms careers and entire organizations.

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β‚Ή40,000 β‚Ή90,000 Limited time offer - Save 56%

Three Pathways to AI Excellence

Choose the training track that fits your goals β€” from individual upskilling to enterprise transformation and elite certification

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Individual

AI Fundamentals Bootcamp

A 3-week intensive for tech professionals. Go from AI basics to deploying production-ready LLM applications. Live sessions, real projects, certified outcome.

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Enterprise

Custom Corporate Training

Tailored AI upskilling designed around your team's stack, roles, and business objectives. From focused workshops to multi-week programs β€” we build it for you.

Explore Corporate β†’
πŸ†
Certification

Claude Certified Architect

Structured prep to pass Anthropic's prestigious Claude Certified Architect exam. Master prompt engineering, API architecture, safety principles, and enterprise deployment.

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What You'll Master

Python for AI
Master Python programming as a mandatory foundation for all AI development. From basics to advanced frameworks.
LLM Fundamentals
Deep dive into Large Language Models, parameters, attention mechanisms, temperature, and model architecture.
LangChain Ecosystem
Build with LangChain, LangGraph, and LangSmith for production-grade AI applications and orchestration.
Model Context Protocol
Learn MCP for seamless AI application integration, building custom servers and connecting external systems.
GPU Computing
Understand CPU vs GPU architecture, CUDA optimization, and hardware acceleration for AI workloads.
Cloud AI Services
Deploy with AWS Bedrock, SageMaker, and build scalable AI solutions in production environments.
RAG & Agents
Build Retrieval-Augmented Generation systems and agentic AI architectures for intelligent automation.
AI Security
Protect against prompt injections, LLM poisoning, and implement security best practices.
Vector Databases
Master Pinecone, Milvus, Weaviate, and Chroma for semantic search and RAG implementations.
3
Weeks
60+
Hours
15+
AI Tools
8
Projects

Course Curriculum & Assessment

A structured, project-first path that takes you from AI foundations to production-ready systems, with transparent grading at every stage.

Built for practical outcomes, not just theory

You will learn in a weekly progression, submit real coding work, and receive feedback through tests and capstone reviews. Use the quick actions below to jump directly to what you need.

Duration
3 weeks, 60+ hours
Cadence
Mon-Sat live sessions
Projects
8 guided builds + capstone
Evaluation
Assignments, tests, and demo
3-Week Curriculum Blueprint Core Track
Structured as a focused build sprint: learn fast, ship weekly projects, and finish with deployment-ready skills.
Week 1: Foundations Week 2: Frameworks Week 3: Deployment
Week 1
AI and Python fundamentals
Build core ML and LLM intuition with guided coding labs.
Week 2
AI frameworks and orchestration
Create RAG systems, agent workflows, and production patterns.
Week 3
Cloud deployment and capstone
Deploy scalable AI apps and present your final project demo.
Week 1: AI & Python Fundamentals
Foundation Building - 4 hours/day (Mon-Fri: 9 PM - 11 PM IST) + Saturday 11 AM - 3 PM
1

Monday: AI Landscape & Python Setup

9:00 PM - 11:00 PM IST (2 hours)
AI fundamentals, Python setup, Neural networks basics, NumPy & Pandas introduction
Python 3.11+ Jupyter NumPy Pandas
2

Tuesday: ML Algorithms & Scikit-Learn

9:00 PM - 11:00 PM IST (2 hours)
Supervised/Unsupervised learning, Scikit-Learn framework, Feature engineering, Model evaluation
Scikit-Learn Matplotlib Seaborn
3

Wednesday: Deep Learning Fundamentals

9:00 PM - 11:00 PM IST (2 hours)
Neural networks, Backpropagation, CNN/RNN basics, TensorFlow & Keras introduction
TensorFlow Keras PyTorch
4

Thursday: Transformers & LLM Basics

9:00 PM - 11:00 PM IST (2 hours)
Transformer architecture, LLM parameters, Temperature & sampling, Hugging Face Hub
Hugging Face Transformers Ollama
5

Friday: Hardware Acceleration & APIs

9:00 PM - 11:00 PM IST (2 hours)
CPU vs GPU, CUDA programming, LLM API consumption, Cost optimization strategies
CUDA OpenAI API Anthropic
6

Saturday: Lab & Projects Session

11:00 AM - 3:00 PM IST (4 hours)
ML pipeline project, LLM chatbot, Code review, Week 1 test (Python, ML, Transformers)
Project Work Assessment
πŸ“š 6 Days β€’ 14 Hours β€’ Python Fundamentals to LLM Basics
Week 2: Advanced AI Frameworks & Production
Frameworks & Orchestration - 4 hours/day (Mon-Fri: 9 PM - 11 PM IST) + Saturday 11 AM - 3 PM
7

Monday: LangChain Fundamentals

9:00 PM - 11:00 PM IST (2 hours)
LangChain architecture, LLM wrappers, Prompt templates, Memory management, Tool integration
LangChain LCEL LangServe
8

Tuesday: LangGraph & Orchestration

9:00 PM - 11:00 PM IST (2 hours)
State management, Graph workflows, Conditional routing, Persistence, Agentic AI patterns
LangGraph State Graphs Checkpointers
9

Wednesday: Vector Databases & RAG

9:00 PM - 11:00 PM IST (2 hours)
Vector embeddings, Database options, RAG architecture, Semantic search, Hybrid search
Pinecone Weaviate Chroma
10

Thursday: LangSmith & Monitoring

9:00 PM - 11:00 PM IST (2 hours)
LangSmith tracing, Evaluation frameworks, Metrics, Production monitoring, Cost tracking
LangSmith Evaluation SDK Monitoring
11

Friday: Model Context Protocol (MCP)

9:00 PM - 11:00 PM IST (2 hours)
MCP architecture, Custom servers, Integration patterns, Security, Production deployments
MCP SDK JSON-RPC AWS Integration
12

Saturday: Advanced Integration & Testing

11:00 AM - 3:00 PM IST (4 hours)
Multi-agent systems, End-to-end RAG, Integration testing, Week 2 assessment
Integration Assessment
πŸš€ 6 Days β€’ 14 Hours β€’ Advanced Frameworks to Production
Week 3: Security, Deployment & Specialization
Production & Security - 4 hours/day (Mon-Fri: 9 PM - 11 PM IST) + Saturday 11 AM - 3 PM
13

Monday: Fine-Tuning & Model Optimization

9:00 PM - 11:00 PM IST (2 hours)
Fine-tuning strategies, LoRA & QLoRA, Dataset preparation, Evaluation, Cost-benefit analysis
LoRA QLoRA Ollama
14

Tuesday: AI Security & Prompt Injection

9:00 PM - 11:00 PM IST (2 hours)
Prompt injection attacks, LLM poisoning, Content filtering, Security best practices
AWS Guardrails Prompt Shields Security Tests
15

Wednesday: Cloud Deployment - AWS

9:00 PM - 11:00 PM IST (2 hours)
AWS Bedrock, SageMaker, Serverless RAG, Lambda deployment, Cost optimization
AWS Bedrock SageMaker Lambda
16

Thursday: Cost Control & Performance

9:00 PM - 11:00 PM IST (2 hours)
API cost optimization, Batch processing, Model selection, Latency optimization
Cost Analysis Token Counting Optimization
17

Friday: Prototyping with Gradio

9:00 PM - 11:00 PM IST (2 hours)
Gradio interface builder, Interactive applications, Deployment, User testing
Gradio Hugging Face Spaces FastAPI
18

Saturday: Capstone Project & Final Assessment

11:00 AM - 3:00 PM IST (4 hours)
Project presentations, Code review, Final comprehensive test, Career guidance
Capstone Final Assessment
🎯 6 Days β€’ 14 Hours β€’ Production Ready AI Systems
Assessment & Evaluation Rubric
Clear scoring model, pass requirements, and certification criteria for every learner.
Assessment Components
Daily Assignments (30%) β€’ Weekly Tests (40%) β€’ Capstone Project (30%)
πŸ“š Daily Assignments
Frequency: Every class day
Format: Practical coding assignments
Submission: GitHub repositories
Weight: 30%
πŸ§ͺ Weekly Tests
Schedule: Saturday evening
Duration: 90 minutes
Format: Mixed (theory + coding)
Weight: 40%
🎯 Capstone Project
Duration: Full 3 weeks
Presentation: Final Saturday
Format: AI application + documentation
Weight: 30%
Detailed Grading Breakdown
Comprehensive scoring system with pass requirements for each component

Grading Breakdown

Assessment Component Weight Details Pass Requirement
Daily Assignments 30% 18 assignments total, average grade calculated >60% on each assignment
Week 1 Test 10% Python fundamentals, ML basics, Transformers (90 min) >70%
Week 2 Test 15% LangChain, RAG, MCP, Monitoring (90 min) >70%
Week 3 Test 15% Security, Deployment, Cost Optimization (120 min) >70%
Capstone Project 30% Full-stack AI application with documentation & presentation Functional system + presentation
Certification Requirements
Complete criteria for earning your AI Fundamentals certification
πŸŽ“ Certification Requirements:

β€’ Overall score of 70% or higher
β€’ Attendance >85% of classes
β€’ All assignments submitted
β€’ Capstone project completion
β€’ Each test score >70%
🏒 Enterprise Solutions

Custom Corporate AI Training

We partner with organizations to design AI workshops and programs built around your team's tech stack, tools, and business context β€” not a generic slide deck.

🎯

100% Custom Curriculum

Every training is purpose-built. We audit your team's current skills and design content that bridges the gap to your AI adoption goals.

πŸ—“οΈ

Flexible Delivery

Choose from intensive day-long workshops, week-long sprints, or extended monthly programs. On-site, remote, or hybrid β€” we fit your schedule.

πŸ‘₯

Team-Based Learning

Groups of 5 to 500. Role-specific tracks for engineers, managers, and executives β€” each learning what matters most to their function.

🏭

Industry-Specific Use Cases

From automating financial reports to AI-assisted code review, we ground every lesson in real use cases from your industry and business context.

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Progress & ROI Reporting

Detailed pre and post assessments, skill tracking dashboards, and executive summaries that demonstrate measurable training impact to leadership.

🀝

Post-Training Support

4 weeks of follow-up office hours, a private Slack channel for your team, and updated materials as AI tools evolve in your domain.

Industries We've Trained

FinTech Healthcare E-commerce Legal Manufacturing SaaS Startups Government Consulting EdTech
How It Works
1

Discovery Call

We understand your team's AI maturity, goals, and the tools your business currently uses.

2

Custom Design

Our trainers build a tailored curriculum, hands-on labs, and assessment rubric aligned to your context.

3

Deliver & Measure

We run the program, collect feedback, track outcomes, and deliver skill-gain reports to your organization.

Get a Custom Quote β†’

Typical turnaround from first call to live training: 2–4 weeks

πŸ† Certification Preparation

Become a Claude Certified Architect

Anthropic's Claude Certified Architect credential validates your ability to design, deploy, and govern enterprise-grade AI systems built on Claude. We prepare you to pass the exam β€” and to do the job.

What is the Claude Certified Architect Certification?

The Claude Certified Architect exam tests deep knowledge of Anthropic's Claude platform β€” from API architecture and advanced prompt engineering to safety alignment, enterprise deployment patterns, and multi-modal pipelines. Passing demonstrates you can architect real-world AI solutions responsibly at scale.

Our prep program maps directly to official exam domains, combining structured study materials, mock exams, hands-on API labs, and 1:1 review sessions with certified coaches.

6
Exam Domains
4
Weeks of Prep
3
Mock Exams
20+
Lab Exercises
100%
Domain Coverage
Live
Expert Sessions

Exam Domains We Cover

⚑ Domain 1

Prompt Engineering & Context Management

Advanced prompting techniques, chain-of-thought, system prompt design, context window management, and few-shot strategies for Claude models.

πŸ”— Domain 2

Claude API Architecture & Integration

Messages API, tool use, streaming, multi-turn conversations, function calling, error handling, and building resilient production integrations.

πŸ›‘οΈ Domain 3

Safety, Ethics & Constitutional AI

Anthropic's safety philosophy, Constitutional AI principles, responsible deployment practices, and handling safety-critical edge cases in production.

πŸ—οΈ Domain 4

Enterprise Architecture Patterns

RAG pipelines with Claude, agent orchestration, multi-model architectures, caching strategies, and designing for scale and cost efficiency.

πŸ–ΌοΈ Domain 5

Multimodal & Extended Capabilities

Vision capabilities, document analysis, structured output design, PDF and image processing pipelines, and leveraging Claude's extended context window.

πŸ”’ Domain 6

Governance, Security & Compliance

Enterprise access controls, PII handling, audit logging, prompt injection defenses, data residency considerations, and regulatory alignment.

What Our Prep Program Includes

πŸ“–

Domain-Mapped Study Materials

Comprehensive study guides for every exam domain, updated quarterly as Claude models and the API evolve.

πŸ§ͺ

Hands-On API Lab Sessions

20+ structured labs where you build real integrations β€” RAG pipelines, tool-use agents, and multi-modal workflows β€” directly on the Claude API.

πŸ“

3 Full Mock Exams

Timed, exam-format practice tests scored to official rubrics. Detailed answer explanations help you learn from every wrong answer.

🎯

1:1 Weakness Coaching

After each mock exam, a certified coach reviews your results, identifies knowledge gaps, and creates a focused study plan for your weak areas.

πŸ’¬

Live Weekly Sessions

Expert-led sessions covering the toughest exam topics, live problem-solving on architecture scenarios, and open Q&A.

πŸ…

Exam-Day Readiness Kit

Final review cheat sheets, time management strategies, and a confidence-building simulation session the day before your exam.

πŸ† Start Your Cert Journey β†’

Next cohort starts soon β€” limited seats. Includes all study materials, lab access & mock exams.

3-week intensive AI program

Master AI Tools and Development Through an Intensive Hands-On Learning Experience

Contact Us:

admissions@aiverse.school
+91-70504 09777

Apply for the Course

Fill out the form below to apply for enrollment. Our team will contact you within 24 hours to discuss your application and next steps.