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A comprehensive 3-week intensive program designed for technical professionals who want to master AI fundamentals, build production-ready AI systems, and lead AI initiatives in their organizations.

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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

Click on each section to explore the detailed curriculum and assessment criteria

3-Week Curriculum
Complete course structure with weekly breakdown and daily sessions
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
📚 6 Days • 14 Hours • 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
🚀 6 Days • 14 Hours • 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 • 14 Hours • Production Ready AI Systems
Assessment & Evaluation
Comprehensive evaluation system with grading breakdown and certification requirements
Assessment Components
Daily Assignments (30%) • Weekly Tests (40%) • Capstone Project (30%)
📚 Daily Assignments
Frequency: Every class day
Format: Practical coding assignments
Submission: GitHub repositories
Weight: 30%
🧪 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
🎓 Certification Requirements:

• Overall score of 70% or higher
• Attendance >85% of classes
• All assignments submitted
• Capstone project completion
• Each test score >70%

3-week intensive AI program

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

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admissions@aiverse.school
+919209059868

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