Free Webinar April 18, 2026 · From Python to AI Engineer — 90-min Live Session · Reserve Your Free Spot →
Overview Curriculum Pricing FAQ
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🟢 Beginner Level · No Prior AI Experience Required
WEEKEND BOOTCAMP | BASIC EDITION

4-Week Basic AI/ML
Training Program

Python for AI · Basic ML Concepts · Cloud Gen AI · Intro to Agentic AI

  • 🐍 Python for AI: NumPy, Pandas, Scikit-Learn & ML fundamentals
  • 🤖 Current AI Concepts: How LLMs work, GPT, Claude & Gemini — hands-on
  • ☁️ Cloud Gen AI: Use AWS Bedrock, Azure AI & GCP Vertex AI APIs
  • 🦾 Agentic AI Intro: Build your first AI agent with LangChain

Sat 3 hrs + Sun 3 hrs = 6 hrs/week | 24 Total Hours

📅 Cohort Start: April 25, 2026

24
Total Hours
4
Weeks
4
POC Projects
$350
Full Price
Built with:
Python
Scikit-Learn
OpenAI API
LangChain
4-Week Basic AI/ML
Sat 3 hrs + Sun 3 hrs = 6 hrs/week
$350
full 4-week program
Registration Open
  • 24 Total Learning Hours
  • 4 Hands-on POC Projects
  • Lifetime recording access
  • Private Discord community
  • Spairo Academy certificate
  • No prior AI experience needed
Limited to 20 participants per cohort
🔒Secure payment via Stripe
0
Total Hours
0
Weeks
0
Projects Built
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Full Price
100%
Beginner Friendly
✦ Overview

Who It's For & Goals

Built for professionals and students starting their AI/ML journey. No prior machine learning experience needed — just Python basics and a desire to learn.

👩‍💻

Aspiring AI Engineers

Transition into AI/ML from a programming background with a strong foundation in Python and key frameworks.

📊

Business Analysts

Understand AI/ML concepts to better collaborate with data teams and drive data-informed decisions.

🎓

Students & Graduates

Kickstart your AI career with practical, portfolio-ready projects using real cloud AI tools.

🔄

Career Switchers

Pivot into the fastest-growing field with a structured, beginner-friendly 4-week sprint.

🏢

Non-Technical Managers

Gain hands-on AI literacy to evaluate tools, lead AI initiatives, and communicate with engineering teams.

🚀

Startup Founders

Understand AI building blocks to prototype AI-powered features and evaluate vendor solutions confidently.

✦ Curriculum

4-Week AI/ML Journey

Every week: Saturday (3 hrs) Training + Sunday (3 hrs) Hands-on POC & Project.

WK 1

🐍 Python for AI/ML — Foundations

☀️ SATURDAY | 3 Hours | TRAINING
01

Python essentials for AI — data types, loops, functions & list comprehensions

02

NumPy arrays, matrix operations & vectorized computation for ML

03

Pandas for data manipulation — DataFrames, cleaning, and feature prep

04

Matplotlib & Seaborn — visualizing data distributions and correlations

🌅 SUNDAY | 3 Hours | POC + PROJECT
🔬 HOUR 1–1.5: PROOF OF CONCEPT
Build a data analysis pipeline on a real dataset — clean, explore, visualize with Pandas & Matplotlib
💡 HOUR 2–3: MINI PROJECT
Sales Data Dashboard — load a CSV, compute KPIs, and generate an automated HTML report with charts
⚒️ TOOLS & TECH STACK
  • Python 3.11+
  • NumPy
  • Pandas
  • Matplotlib / Seaborn
  • Jupyter / Google Colab
📅 WEEK SUMMARY
Day 1:Training + Demo
Day 2:POC + Project Build
Deliverable:Data Report App
WK 2

🤖 ML Algorithms, Context Engineering & Prompt Design

☀️ SATURDAY | 3 Hours | TRAINING
01

Supervised ML — linear regression, logistic regression & decision trees with Scikit-Learn on real business datasets

02

Model evaluation — accuracy, precision, recall, F1-score, ROC-AUC & confusion matrices on imbalanced datasets

03

Context engineering — structuring system prompts, conversation history, retrieved context & tool outputs for optimal LLM performance

04

Prompt engineering — zero-shot, few-shot, chain-of-thought & context window management (token budgeting, context compression)

🌅 SUNDAY | 3 Hours | POC + PROJECT
🔬 HOUR 1–1.5: PROOF OF CONCEPT
Train a customer churn classifier on a real telecom dataset — compare Logistic Regression, Decision Tree & Random Forest on imbalanced classes
💡 HOUR 2–3: MINI PROJECT
Credit Risk Scorer — build a loan default prediction model using real-world financial data, with threshold tuning to minimise false approvals
⚒️ TOOLS & TECH STACK
  • Scikit-Learn
  • Python (ML Pipeline)
  • OpenAI Playground
  • Claude.ai / Gemini
  • Jupyter Notebook
📅 WEEK SUMMARY
Day 1:Training + Demo
Day 2:POC + Project Build
Deliverable:Spam Classifier
WK 3

☁️ AI/ML with Cloud Gen AI — AWS, Azure & GCP

☀️ SATURDAY | 3 Hours | TRAINING
01

Calling AI APIs — OpenAI, Anthropic Claude & Google Gemini in Python

02

AWS Bedrock basics — invoking foundation models (Claude, Titan) from Python

03

Azure AI Services — using Azure OpenAI and AI Language APIs

04

GCP Vertex AI — calling Gemini models and basic cloud ML pipeline intro

🌅 SUNDAY | 3 Hours | POC + PROJECT
🔬 HOUR 1–1.5: PROOF OF CONCEPT
Call OpenAI & Claude APIs from Python — compare responses, handle streaming, and parse JSON outputs
💡 HOUR 2–3: MINI PROJECT
AI Document Summarizer — upload a PDF or text file and generate structured summaries using cloud LLM APIs
⚒️ TOOLS & TECH STACK
  • OpenAI Python SDK
  • Anthropic SDK
  • AWS Bedrock
  • Azure AI Studio
  • GCP Vertex AI
📅 WEEK SUMMARY
Day 1:Training + Demo
Day 2:POC + Project Build
Deliverable:AI Summarizer App
WK 4

🦾 Intro to Agentic AI — Your First AI Agent

☀️ SATURDAY | 3 Hours | TRAINING
01

What are AI agents? — tool-calling, reasoning loops & autonomous task completion

02

LangChain basics — chains, tools, and memory management

03

Building a simple ReAct agent — search, summarize & respond autonomously

04

n8n / Zapier for no-code AI automation — connecting AI to real-world workflows

🌅 SUNDAY | 3 Hours | POC + PROJECT
🔬 HOUR 1–1.5: PROOF OF CONCEPT
Build a LangChain ReAct agent with two tools — web search and a Python calculator — and test autonomous reasoning
💡 HOUR 2–3: MINI PROJECT (CAPSTONE)
Personal Research Assistant — an AI agent that researches a topic, summarizes findings, and emails a structured report automatically
⚒️ TOOLS & TECH STACK
  • LangChain
  • OpenAI GPT-4o
  • SerpAPI / Tavily
  • n8n Automation
  • Python FastAPI
📅 WEEK SUMMARY
Day 1:Training + Demo
Day 2:Capstone Build
Deliverable:Research AI Agent
✦ Learning Outcomes

What You'll Walk Away With

Four weeks, four milestones — each building on the last to give you a complete beginner AI/ML skillset.

WK 1

Python & Data Mastery

Comfortable with NumPy, Pandas & data visualization — ready to tackle any ML dataset

WK 2

ML Models & Prompt Skills

Trained real classifiers and understand how today's LLMs work conceptually and in practice

WK 3

Cloud AI Integration

Called 3 cloud AI platforms (AWS, Azure, GCP) from Python and built a working AI app

WK 4

🏆 First AI Agent

Built and shipped a real autonomous AI agent — the foundation for Intermediate & Advanced tracks

✦ Tools & Technologies

The Basic AI/ML Stack

Every tool introduced with hands-on practice — no fluff, just real skills.

Python 3.11+
NumPy
Pandas
Matplotlib / Seaborn
Scikit-Learn
OpenAI Python SDK
Anthropic Claude SDK
Google Gemini API
AWS Bedrock
Azure AI Studio
GCP Vertex AI
LangChain
n8n Automation
Jupyter / Google Colab
🐍Python for AI
🤖OpenAI GPT-4
☁️AWS Bedrock
🔷Azure AI
🌐GCP Vertex AI
🔗LangChain
📊Scikit-Learn
🧠Claude API
📈Pandas / NumPy
n8n Automation
🎨Gemini API
🐍Python for AI
🤖OpenAI GPT-4
☁️AWS Bedrock
🔷Azure AI
🌐GCP Vertex AI
🔗LangChain
📊Scikit-Learn
🧠Claude API
📈Pandas / NumPy
n8n Automation
🎨Gemini API
✦ Pricing

Simple, Transparent Pricing

One straightforward price for the full 4-week program. No hidden fees.

✦ FAQ

Frequently Asked Questions

Everything you need to know about the Basic AI/ML Training program.

No prior AI or ML experience is required. You need a basic understanding of Python (variables, loops, functions) and a willingness to learn. We'll build up everything else from scratch.
6 hours per weekend (Saturday 3 hours + Sunday 3 hours) for 4 weeks = 24 total training hours. Plus optional practice time during the week to reinforce concepts.
Yes — all sessions are recorded and available with lifetime access. You can revisit any session at any time, even after the cohort ends.
You'll get hands-on with AWS Bedrock, Azure AI Services, and GCP Vertex AI. We provide guided setup instructions and free-tier credits where available so there's minimal upfront cost.
Absolutely! The Basic program is designed as a stepping stone. Graduates receive a discount toward the Intermediate (6-week, $550) or Advanced (12-week, $850) programs.
Yes — all graduates receive a Spairo Academy Certificate of Completion, which is digitally verifiable and can be added directly to your LinkedIn profile.

Ready to Start Your AI/ML Journey?
Start April 25, 2026.

Join the Spring 2026 Basic AI cohort. Beginner-friendly, hands-on, and built for real results. Seats are limited.

✉️ Ask a Question 💬 WhatsApp Us
$350
Full 4-week program