🎓 Live Training Program — 6 Months

Launch Your Career in AI Engineering

A 6-month live training program designed for complete beginners. No coding experience required. Go from zero to building real AI systems.

Reserve Your Seat — $249 → View Full Curriculum
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Stage 1 is underway, but you can still join the next live session. Catch up on previous sessions via recordings and jump right in.

1
Python & AI Foundations
🔥 IN PROGRESS
2
Data Analysis
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3
Computer Vision
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4
Generative AI
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5
Agentic AI
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6
Physical AI
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⏳ Accepting students until Stage 2 begins
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Global Schedule

🌍 International Times

Live classes every Saturday & Sunday. Find your local time below.

🇺🇸 New York / Toronto 10:00 AM
🇺🇸 Chicago 9:00 AM
🇺🇸 Los Angeles 7:00 AM
🇬🇧 United Kingdom 3:00 PM
🇿🇦 South Africa 4:00 PM
🇸🇦 Saudi Arabia 5:00 PM
🇦🇪 United Arab Emirates 6:00 PM
🇵🇰 Pakistan 7:00 PM
🇮🇳 India 7:30 PM
🇧🇩 Bangladesh 8:00 PM
Preview

Sample Sessions

Watch sample clips from our live training sessions. Scroll left or right to explore.

Program Overview

Everything You Need to Know

Live, interactive training sessions every weekend. Build projects, not just theory.

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Start Date

Stage 1 begins September 5, 2026

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Class Schedule

Every Saturday & Sunday, 10:00 AM EST

⏱️

Live Contact Hours

144 hours total across 6 months (24 hrs per stage)

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Program Structure

6 Stages × 1 month each, each with its own certificate

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Class Size

Maximum 20 learners per batch (1 instructor + 1 TA)

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Investment

$249 USD per stage — pay as you progress

🎓 Jobskillshare Live Training Program
$249

Full price for Stage 1 — 6-month AI Engineering program

Only 50 seats available — filling fast
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Learning Roadmap

Your 6-Month Journey to AI Engineering

Each stage is one month, ends with its own project and certificate, and builds directly on the stage before it.

1

Python Programming & AI Foundations

📅 Month 1 · 24–30 hrs · 🎓 Certificate Awarded

Project: The Working Python Tool

  • Python from zero — variables, control flow, functions
  • Lists, dictionaries, sets & comprehensions
  • Object-oriented design — classes, inheritance, dataclasses
  • Error handling, logging & pytest test suites
  • Virtual environments, pip, Git & version control
  • NumPy arrays, broadcasting & vectorised computation
  • Your first trained model with honest baseline comparison
  • The AI capability ladder — mapping the full six-stage field
Focus
Core Programming
2

Python for Data Analysis, With AI Practice

📅 Month 2 · 24–30 hrs · 🎓 Certificate Awarded

Project: The Defensible Analysis

  • pandas — loading, selecting, cleaning real messy data
  • Joins, grouping, aggregation & time-series handling
  • Missingness taxonomy (MCAR, MAR, MNAR) & imputation
  • Honest data visualization — charts that show uncertainty
  • Exploratory analysis with bootstrapped confidence intervals
  • Leakage-free pipelines with scikit-learn
  • Baseline-first modelling — beat it before reaching for neural nets
  • Cost-based thresholds, calibration & slice-level error analysis
Focus
Data Science
3

Perceptive AI — Computer Vision

📅 Month 3 · 24–30 hrs · 🎓 Certificate Awarded

Project: A Perception System With Edges

  • Neural networks built by hand in NumPy, then PyTorch
  • Backpropagation derived and implemented from scratch
  • CNNs — kernels, stride, padding, batch norm, residuals
  • Transfer learning & fine-tuning with discriminative learning rates
  • Object detection, segmentation & tracking with honest mAP/IoU
  • Vision Transformers (ViT) & CLIP zero-shot classification
  • Embeddings for semantic image search
  • Deployment — quantisation, latency budgets & model cards
Focus
Computer Vision
4

Generative AI

📅 Month 4 · 24–30 hrs · 🎓 Certificate Awarded

Project: The Grounded Assistant

  • Transformers end-to-end — tokenisation, attention, sampling
  • Prompt engineering as engineering — schemas, evaluation, versioning
  • Structured output, validation loops & injection defences
  • Embeddings, vector indexes (FAISS/Chroma) & hybrid retrieval
  • Retrieval-Augmented Generation (RAG) with citation-bearing answers
  • Chunking strategies, reranking & groundedness evaluation
  • LoRA/QLoRA fine-tuning within free-tier GPU limits
  • Diffusion models, media generation & provenance handling
Focus
GenAI & LLMs
5

Agentic AI

📅 Month 5 · 24–30 hrs · 🎓 Certificate Awarded

Project: The Production-Shaped Agent

  • The perceive–reason–plan–act loop built by hand
  • Tool schemas, validation, idempotency & approval gates
  • ReAct pattern, termination controls & structured tracing
  • Memory — working context, episodic, semantic & planning
  • Model Context Protocol (MCP) — publishable tool servers
  • Multi-agent systems measured head-to-head against single agents
  • Framework evaluation — LangGraph, CrewAI vs hand-built loops
  • n8n workflow automation — visual AI agent orchestration & integrations
  • Red-teaming, audit trails, cost governance & safety guardrails
Focus
AI Agents
6

Physical AI with RoboDK

📅 Month 6 · 24–30 hrs · 🎓 Certificate Awarded

Project: The Full-Ladder Robotic Cell

  • Industrial robot cells — stations, frames, targets & motion
  • MoveJ, MoveL, MoveC, collision checking & cycle-time profiling
  • Driving RoboDK programmatically from Python (parametric cells)
  • Vision-guided robotics — hand-eye calibration & error budgets
  • Learned control vs classical PID — benchmarked fairly
  • Sim-to-real gap — domain randomisation & safety envelopes
  • Agentic control — agent plans, deterministic code executes motion
  • Final capstone — all six stages composed, defended & red-teamed
Focus
Robotics
Certification

6 Certificates + 1 Professional Diploma

Stackable credentials. Every stage you pass produces its own certificate immediately — nobody waits six months for proof of what they can do.

📜

Stage Certificates (×6)

One per stage — Completion, Merit, or Distinction based on your performance.

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Professional Diploma

Awarded on passing all six stages. Weighted average grade with the capstone counted at double.

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Verified & Shareable

Each credential has a unique ID with a QR code linking to an online verification page employers can check instantly.

Prerequisites

What You Need to Get Started

No programming or AI background required. Just bring your commitment.

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Laptop or Desktop

A computer capable of running modern applications

🖱️

Basic Computer Skills

Comfortable installing apps like Zoom and downloading software

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Stable Internet

Reliable connection for live video sessions

📋

Follow Instructions

Ability to follow step-by-step guidance from the instructor

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Commitment

Dedication and motivation to learn and practice

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Ready to Start Your AI Career?

Only 50 students will be accepted into this cohort. Stage 1 begins September 5, 2026 at 10:00 AM EST.

$249
Enroll Now — Secure Your Seat
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