What this course is about
A twelve-month AI development and automation roadmap for practical AI products and business workflows.
Learn Python, ML, deep learning, LLM apps, RAG, agents, APIs, and business automation systems.
Master AI Development and Automation with hands-on projects, expert guidance, and a curriculum designed for real-world success.
Interactive sessions with expert instructors
Hands-on experience with industry projects
Create impressive projects for your portfolio
Personal mentorship and career counseling
Industry-recognized certification
Skills that employers are looking for
Latest tools and technologies
Professional resume and interview prep
Course overview
A twelve-month AI development and automation roadmap for practical AI products and business workflows.
A twelve-month AI development and automation roadmap for practical AI products and business workflows.
Students who want structured, practical, portfolio-focused training from SystemGrid Academy.
Build and present a portfolio-ready ai development and automation capstone with review checkpoints.
Tech stack glow map
Each tool is connected to a build step, not listed as decoration.
Python
Used inside AI Development and Automation projects with guided practice and review checkpoints.
NumPy
Numerical arrays, feature matrices, and fast calculations behind ML workflows.
Pandas
Clean messy CSV/Excel data and prepare datasets for model training.
Scikit-learn
Used inside AI Development and Automation projects with guided practice and review checkpoints.
PyTorch
Used inside AI Development and Automation projects with guided practice and review checkpoints.
OpenAI API
Connect LLM features, structured outputs, and AI assistants to apps.
FastAPI
Expose secure APIs that your frontend/mobile app can consume.
LangChain
Used inside AI Development and Automation projects with guided practice and review checkpoints.
Vector Databases
Used inside AI Development and Automation projects with guided practice and review checkpoints.
n8n
Create business automations with webhooks, approvals, and scheduled workflows.
Curriculum Journey
Pick a quarter from the fixed roadmap and review only that stage, so the page stays focused and every topic explains its real purpose.
Quarter 1
Python, data cleaning, feature engineering, and ML prediction apps
Duration
3 Months
Students learn what Python fundamentals is used for, where it fits in AI Development and Automation, and then practice it through guided tasks inside Python, Data, and Machine Learning Foundations.
Step 1
Students learn what Functions is used for, where it fits in AI Development and Automation, and then practice it through guided tasks inside Python, Data, and Machine Learning Foundations.
Step 2
Students learn what OOP is used for, where it fits in AI Development and Automation, and then practice it through guided tasks inside Python, Data, and Machine Learning Foundations.
Step 3
Students learn what File handling is used for, where it fits in AI Development and Automation, and then practice it through guided tasks inside Python, Data, and Machine Learning Foundations.
Step 4
Students learn what Virtual environments is used for, where it fits in AI Development and Automation, and then practice it through guided tasks inside Python, Data, and Machine Learning Foundations.
Step 5
Use NumPy arrays for fast numerical calculations, feature matrices, vector operations, and the math layer behind machine-learning datasets.
Step 6
Clean CSV/Excel data, fix missing values, group records, reshape tables, and prepare real datasets before model training.
Step 7
Explore the complete curriculum with hierarchical topic organization and concept breakdown.
Learning outcomes
Finish with practical evidence of your progress and a clear next step for work, freelancing, or further learning.
Build strong fundamentals before moving into professional workflows.
Practice each quarter through structured tasks and guided review checkpoints.
Finish projects that clearly show what you can create and explain.
Learn tools, communication habits, and delivery patterns used in professional environments.
Start with monthly payments, save with quarterly plans, or get the biggest discount with full-course payment.
Optional referral code preview. Final checkout always uses backend calculation.
Fee summary
Gross amount
Rs 5,000
Plan discount
Rs 0
Referral discount
Rs 0
Total savings
Rs 0
Your student portal access activates only after secure backend payment verification.
Score 80% or above in your quarterly test and unlock 50% off for the next quarter after approval.
Your friend gets PKR 500 off their first payment. You earn PKR 1,000 wallet credit after their payment is verified.
Admissions
Applying does not lock you into a batch. Our team will first help you confirm the right course, schedule, mode, and fee plan.
Course FAQ
Need something more specific? Submit the form below and our admissions team will guide you.
Yes. SystemGrid Academy focuses on live online classes with structured support and practical project guidance.
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