AI & Data Science Training Programs – Course Catalog

✦ Our Programs

Six Programs.
One Launchpad.

Choose your path — from foundational AI/ML basics to advanced frontier AI engineering. All programs are live, hands-on, and built for working professionals.

🟢 NOW ENROLLING

Basic Track

🌱

4-Week Basic AI/ML Training

For beginners stepping into AI. Master Python for AI/ML, core ML concepts, Cloud Gen AI APIs (AWS/Azure/GCP), and build your first Agentic AI assistant — in just 4 weekends.

⏱️ 4 Weeks · 24 Hours 🕐 Sat + Sun 3 hrs each 🏗️ 4 POCs + Capstone 🎓 Beginner Friendly

✓ Python for AI/ML — NumPy, Pandas, Matplotlib, Colab
✓ Basic ML & Current AI Concepts — Scikit-Learn, LLMs, Prompt Basics
✓ Cloud Gen AI — OpenAI, Claude, Gemini APIs + AWS/Azure/GCP
✓ Intro to Agentic AI — LangChain ReAct, n8n workflows
✓ Capstone: AI Research Assistant with web search & memory
✓ Certificate of completion + private Discord community

Python / Pandas Scikit-Learn OpenAI API LangChain AWS Bedrock

$350 / standard program

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Intermediate Track

⚙️

6-Week Intermediate AI/ML Training

Bridge the gap between beginner and expert. Deep Learning, Transformer concepts, Vector DBs, RAG pipelines, Cloud MLOps, and Agentic AI — 6 weekends, 6 deployable projects.

⏱️ 6 Weeks · 36 Hours 🕐 Sat + Sun 3 hrs each 🏗️ 6 POCs + Capstone ☁️ 3 Cloud Platforms

✓ Advanced Python & Deep Learning — PyTorch, MLflow, Neural Nets
✓ Transformer Architecture & LLM Concepts — HuggingFace, LoRA/PEFT
✓ Vector DBs & RAG Pipelines — Pinecone, ChromaDB, LangChain
✓ Cloud MLOps — SageMaker, Azure ML Studio, Vertex AI, FastAPI
✓ Agentic AI — LangGraph, Tool Calling, Mem0, Bedrock Agents
✓ Capstone: Integrated Agentic RAG app with Docker & CI/CD

PyTorch / MLflow HuggingFace Pinecone / ChromaDB SageMaker LangGraph

$550 / standard program

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Advanced Track

🔥

12-Week Advanced AI/ML Training

Frontier AI engineering — Transformer internals, LLM training at scale, advanced fine-tuning (QLoRA/RLHF), multi-agent orchestration, and AI safety. 72 hours, 12 production-grade projects.

⏱️ 12 Weeks · 72 Hours 🕐 Sat + Sun 3 hrs each 🏗️ 12 POCs + Capstone ☁️ AWS · Azure · GCP

✓ Transformer Internals — FlashAttention-3, RoPE, SSMs (Mamba)
✓ LLM Training at Scale — DeepSpeed ZeRO, Megatron-LM
✓ Advanced PEFT — QLoRA, DoRA, Unsloth, RLHF & DPO
✓ Advanced RAG — GraphRAG, Agentic RAG, Self-RAG, HyDE
✓ Multi-Agent Orchestration — CrewAI, AutoGen, LangGraph
✓ AI Safety, NeMo Guardrails, vLLM & Production Deployment

PyTorch / DeepSpeed HuggingFace / vLLM QLoRA / Unsloth LangGraph / CrewAI NeMo / RAGAs

$850 / standard program

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WEEKEND BOOTCAMP | EDITION

Gen AI Track

🤖

12-Week Generative AI Training Program

For AI/ML Engineers & Advanced Developers. Master Transformer Architectures, Advanced Fine-Tuning, Agentic AI Systems, Multi-Agent Orchestration, AI Safety & Production-Grade Deployment.

⏱️ 12 Weeks 🕐 Sat + Sun 3 hrs each 🏗️ 12 POCs + 4 Projects 🎓 72 Total Hours

✓ Transformers, FlashAttention-3, RoPE & Mamba / SSMs
✓ Advanced LLM Training — DeepSpeed ZeRO & Megatron-LM
✓ Advanced Fine-Tuning (QLoRA, DoRA, Unsloth & PEFT)
✓ RLHF, DPO & GraphRAG — Agentic & Self-RAG Systems
✓ Multi-Agent Orchestration (CrewAI, AutoGen, LangGraph)
✓ AI Safety, Guardrails, Evaluation & vLLM Deployment

PyTorch / HuggingFace DeepSpeed / WandB QLoRA / Unsloth LangGraph / CrewAI NeMo Guardrails / RAGAs vLLM / Vercel

$650 / full 12-week program

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🚀 Launching Soon

Agentic AI Track

☁️

12-Week Agentic AI on Cloud

Multi-cloud mastery across AWS, Azure & GCP. Build production-grade AI agents, RAG pipelines, and MLOps systems. 72 hours, 12 mini-projects.

📅 12 Weeks · 72 Hours 🕐 6 hrs/week weekends ☁️ AWS · Azure · GCP

✓ Amazon Bedrock, Step Functions multi-agent orchestration
✓ Azure AI Foundry, Semantic Kernel, AutoGen teams
✓ GCP Vertex AI Agent Builder, Gemini 1.5 Pro + RAG
✓ Cross-cloud capstone with unified telemetry
✓ Production: Docker, ECS Fargate, Cloud Armor WAF
✓ LangChain, LangGraph & LlamaIndex orchestration
✓ Vector DBs: Pinecone, Chroma & FAISS on Cloud
✓ AI Security: Guardrails, VPC controls & IAM
✓ LLMOps: CI/CD, evaluation & telemetry

Bedrock Azure AI Vertex AI LangChain AutoGen

$650 / full program

🚀 Launching Soon — Join Waitlist

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Data Science Track

📊

12-Week Data Science & ML Program

SPA's flagship program. US-market focused, targeting $250K+ roles. 20+ industry tools, 8+ portfolio projects, and 100% placement support.

📅 12 Weeks 🎓 Live + Recorded 💼 $650 · Rolling Admissions

✓ Python, SQL, Pandas, NumPy, Scikit-Learn mastery
✓ Deep Learning: TensorFlow, PyTorch, Keras, Hugging Face
✓ End-to-end ML pipelines with MLflow & AWS SageMaker
✓ NLP, Sentiment Analysis, Churn Prediction, Forecasting
✓ Applied Data Science: 8+ End-to-End Projects for US Market
✓ Advanced Feature Engineering & Feature Selection techniques
✓ Computer Vision: Object Detection, Segmentation & OCR
✓ Model Deployment: FastAPI, Docker & Kubernetes for ML

Python PyTorch TensorFlow SageMaker Tableau

$650 / full program

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✦ Week-by-Week

Deep-Dive Curriculum

Every week is structured: Theory → Hands-on POC → Mini-Project. Build as you learn.

⚡ Beyond the Standard Transformer

FlashAttention-3, Rotary Positional Embeddings (RoPE), State Space Models (SSMs) — Mamba architecture, and why SSMs are replacing attention for long-context windows.

💡 POC: Transformer Architecture Explorer UI

🏋️ Advanced LLM Training

Pre-training at scale, tokenizer optimization (BPE, SentencePiece), Distributed Training with DeepSpeed ZeRO & Megatron-LM, training stability and checkpointing strategies.

💡 POC: Training Dashboard UI

🎨 Advanced Diffusion & Flow Matching

Rectified Flow, ControlNet internals, Latent Consistency Models (LCMs) — real-time generation in 4 steps, Flow Matching vs DDPM tradeoffs.

💡 POC: Real-Time Image Studio

👁️ Multimodal Alignment

Vision Transformers (ViT), CLIP-style contrastive alignment, Whisper speech-text alignment, VLM architectures — LLaVA, Flamingo, and cross-modal attention.

�� POC: Multimodal Search UI

🔧 Advanced Fine-Tuning (PEFT)

QLoRA (4-bit quantized LoRA), DoRA (Weight-Decomposed Low-Rank Adaptation), Unsloth 2x faster fine-tuning, perplexity & ROUGE evaluation.

💡 POC: Fine-Tune Lab UI

🧠 Alignment — RLHF & DPO

RLHF pipeline (reward modeling, PPO), Direct Preference Optimization (DPO), KTO (Kahneman-Tversky Optimization), Constitutional AI & self-critique.

💡 POC: Alignment Evaluator UI

📚 Advanced RAG — Graph, Agentic & Self-RAG

GraphRAG with Neo4j, Agentic RAG (model-driven search), Self-RAG (critique & re-rank), HyDE & query rewriting for better recall.

💡 POC: Agentic Research UI

⚙️ Quantization & High-Throughput Deployment

AWQ, GGUF, FP8/INT4 quantization, vLLM PagedAttention, TGI production serving, edge deployment vs cloud serving.

💡 POC: Model Serving Dashboard

🤖 Agentic Frameworks & Long-Term Memory

ReAct, Plan-and-Execute, AutoGPT-style agents, LangGraph stateful workflows, episodic & semantic memory, tool-use & function calling.

💡 POC: Personal AI Assistant UI

W10

🕸️ Multi-Agent Orchestration

Coder, Critic, Manager agent patterns, shared memory & message passing, Agent Communication Protocols, CrewAI & AutoGen frameworks.

💡 POC: Multi-Agent Workspace UI

W11

🛡️ AI Safety, Guardrails & Evaluation

LLM-as-a-judge, NeMo Guardrails, Llama Guard content moderation, hallucination detection with RAGAs & TruLens, automated eval pipelines.

💡 POC: AI Safety Dashboard

W12

🏆 Capstone & Future Frontiers

World Models (JEPA, Dreamer), Test-Time Compute scaling, capstone architecture review, career pathways — AI Research Engineer, MLOps, AI Product roles.

🎓 Capstone: Deployed Agentic App

☁️ AWS Track — Weeks 1–4 ☁️ Azure Track — Weeks 5–8 ☁️ GCP Track — Weeks 9–12

Amazon Bedrock Agent Foundation

Bedrock API, LangChain on AWS, Lambda + API Gateway, serverless AI patterns.

🏗️ Serverless AI Assistant

RAG on AWS – Bedrock Knowledge Bases

Bedrock KBs, OpenSearch Serverless, LangChain, document ingestion pipelines.

🏗️ Document Q&A App

Multi-Agent Orchestration – Step Functions

AWS Step Functions, EventBridge, SQS, choreography vs orchestration patterns.

🏗️ Automated Research Pipeline

Production Deployment on ECS Fargate

Docker, ECR, ECS Fargate, Bedrock Guardrails, CloudWatch + X-Ray observability.

🏗️ Production AI Agent System

Azure AI Foundry & Semantic Kernel

Semantic Kernel SDK, Azure AI Foundry, plugin architecture, React + FastAPI.

🏗️ Smart Assistant Portal

AutoGen Multi-Agent Teams on Azure

AutoGen frameworks, Azure AI Search, Cosmos DB vector store, Container Apps.

🏗️ Research Agent App

Logic Apps & Enterprise Integrations

Logic Apps orchestration, Azure Functions, Service Bus, Teams/Outlook/SharePoint.

🏗️ Enterprise Workflow Agent

Production MLOps – Security & DevOps

RBAC, Managed Identity, Key Vault, API Management, Azure DevOps CI/CD.

🏗️ Secure AI Platform

GCP Vertex AI Agent Builder

Vertex AI Agent Builder, Gemini 1.5 Pro, Cloud Run, Firestore session memory.

🏗️ GCP AI Agent App

W10

Vector Search & RAG on GCP

LangChain on GCP, Vertex Vector Search, AlloyDB pgvector, BigQuery RAG.

🏗️ Enterprise Knowledge Base

W11

GCP Multi-Agent with Pub/Sub

Pub/Sub, Eventarc, Dataflow, event-driven multi-agent choreography patterns.

🏗️ Event-Driven Agent Network

W12

Cross-Cloud Capstone & Security

AWS Bedrock + Azure AI + GCP unified, Cloud Armor WAF, VPC controls, telemetry.

🎓 Cross-Cloud AI Platform

Pre

Pre-Work: Python & Statistics Foundations

Python crash course, statistics primer, Pandas, NumPy, Git basics, environment setup.

📚 Setup & Orientation

W1–2

Data Science Foundations

EDA, data wrangling, Pandas/NumPy deep dive, SQL, Tableau visualisation.

🏗️ Retail Data EDA Project

W3–5

Machine Learning Core

Scikit-Learn, regression, classification, clustering, model evaluation, hyperparameter tuning.

🏗️ Churn Prediction Model

Project Week — ML Showcase

End-to-end ML pipeline, stock price forecasting, retail demand forecasting case study.

🏗️ ML Portfolio Project

W7–9

Advanced ML & Deep Learning

TensorFlow, PyTorch, Keras, CNNs, RNNs, Transformers, NLP, sentiment analysis.

🏗️ Sentiment Analysis App

W11–13

AI Engineering & Deployment

MLflow, AWS SageMaker, Docker, FAISS, Hugging Face, Streamlit, LangChain.

🏗️ AI-Powered Web App

W14–16

Capstone & Career Launchpad

End-to-end capstone, portfolio review, mock interviews, placement support, certification.

🎓 Capstone + Placement

✦ The Spairo Advantage

Why Professionals
Choose Spairo

We don't just teach AI — we prepare you to build, deploy, and lead it in the real world.

🎯

US-Market Focused

Curriculum aligned with US tech industry needs. Portfolio projects built for American hiring managers.

💰

$250K+ Avg Starting Salary

Our alumni land roles at FAANG and top-tier startups with competitive compensation packages.

🏆

80+ Years Faculty Experience

Faculty from IIT Delhi, Microsoft Research, and Applied AI Lab — real industry, not just academia.

🚀

100% Placement Support

Resume reviews, mock interviews, LinkedIn optimisation, and direct referrals to our hiring partners.

🧪

Project-First Learning

Every week ends with a POC and mini-project. Graduate with a full portfolio of 8–12 live projects.

👥

Small Cohort Sizes

20–25 participants per cohort for personalised attention and high-impact learning.

☁️

Multi-Cloud Expertise

Hands-on with AWS, Azure, and GCP simultaneously — rare and highly valued in the enterprise market.

📜

Industry Certification

Earn a SPAIRO ACADEMY certificate recognised by hiring partners. Shareable directly to LinkedIn.

Master the Future
of Artificial
Intelligence

Spairo Academy

Six Programs.
One Launchpad.

4-Week Basic AI/ML Training

6-Week Intermediate AI/ML Training

12-Week Advanced AI/ML Training

12-Week Generative AI Training Program

12-Week Agentic AI on Cloud

12-Week Data Science & ML Program

Deep-Dive Curriculum

Why Professionals
Choose Spairo

US-Market Focused

$250K+ Avg Starting Salary

80+ Years Faculty Experience

100% Placement Support

Project-First Learning

Small Cohort Sizes

Multi-Cloud Expertise

Industry Certification

Cumulative Tools & Tech Stack

Architectures

Generative Models

Fine-Tuning & Alignment

RAG & Retrieval

Agents & Orchestration

Deployment & Serving

Simple, Transparent Pricing

Ready to Build the Future
with AI?

Master the Futureof ArtificialIntelligence

Spairo Academy

Six Programs.One Launchpad.

4-Week Basic AI/ML Training

6-Week Intermediate AI/ML Training

12-Week Advanced AI/ML Training

12-Week Generative AI Training Program

12-Week Agentic AI on Cloud

12-Week Data Science & ML Program

Deep-Dive Curriculum

Why ProfessionalsChoose Spairo

US-Market Focused

$250K+ Avg Starting Salary

80+ Years Faculty Experience

100% Placement Support

Project-First Learning

Small Cohort Sizes

Multi-Cloud Expertise

Industry Certification

Cumulative Tools & Tech Stack

Architectures

Generative Models

Fine-Tuning & Alignment

RAG & Retrieval

Agents & Orchestration

Deployment & Serving

Simple, Transparent Pricing

Ready to Build the Futurewith AI?

Join the Waitlist

Master the Future
of Artificial
Intelligence

Six Programs.
One Launchpad.

Why Professionals
Choose Spairo

Ready to Build the Future
with AI?