Engineering Applications
Course 01
Introduction to Python for Engineering Applications (3 Months)
Apply Python programming to solve engineering problems.
Course 02
Generative Design and AI in CAD for Engineering (3 Months)
Explore the role of AI in computer-aided design (CAD) and generative modeling.
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Course 01
Introduction to Python for Engineering Applications (3 Months)
Introduction to Python for Engineering Applications
Duration: 3 Months | Fee: PKR 35,000
Course Overview
Leverage the power of Python and AI to solve real-world engineering challenges! This course is designed for engineers, students, and professionals who want to master data analysis, predictive modeling, and AI-driven simulations for engineering applications. Learn to use Python, NumPy, Pandas, Scikit-learn, and AI-powered optimization tools to improve engineering designs, automate processes, and enhance simulations.
What You’ll Learn
✔ Python for Engineering – Master Python syntax, data structures, and cloud-based programming.
✔ AI & Machine Learning for Engineers – Build predictive models using AI-powered libraries.
✔ Data Visualization & Simulation – Use Matplotlib and SciPy for engineering simulations.
✔ Optimization & Structural Analysis – Solve engineering problems using AI algorithms.
✔ AI in Robotics & Automation – Implement AI-driven robotics and automation techniques.
✔ Final Project – Work on a real-world AI-powered engineering problem and present data-driven solutions.
Course Breakdown
Month 1: Python Basics & AI Tools in Engineering
📌 Python for Engineers – Learn variables, data types, and operations.
📌 Data Handling with Pandas – Import, clean, and manipulate engineering data.
📌 NumPy for Large Datasets – Work with arrays, matrices, and engineering computations.
📌 Data Visualization – Create engineering graphs for stress, thermal, and structural analysis.
Month 2: AI Applications in Engineering
📌 Predictive Modeling – Use AI for predicting material behavior & load-bearing capacity.
📌 AI in Engineering Design – Optimize material usage and structural designs.
📌 Structural Stress Prediction – Develop AI models to forecast stress points.
📌 AI-Driven Simulations – Use SciPy & OpenAI for thermal and fluid dynamics analysis.
Month 3: Advanced AI for Engineering & Final Project
📌 AI for Robotics & Automation – Implement AI-driven control systems for robotics.
📌 AI in Electrical Engineering – Optimize circuits & predict failures using AI models.
📌 Final Project – Part 1 – Solve an engineering problem using AI.
📌 Final Project – Part 2 – Present AI-driven engineering solutions with visual reports.
Who Should Enroll?
✔ Engineering Students & Professionals wanting to enhance their AI & Python skills.
✔ Data Scientists & Analysts looking to apply AI in engineering fields.
✔ Mechanical, Civil, & Electrical Engineers exploring AI-driven optimization.
✔ Anyone interested in AI-powered engineering problem-solving!
Why Choose This Course?
✅ Industry-Relevant Skills – Learn AI & Python applications for engineering.
✅ Hands-on Learning – Work on real engineering datasets & simulations.
✅ Expert-Led Training – Taught by professionals with AI & engineering expertise.
✅ Career Growth – Gain in-demand skills for the future of AI in engineering.
Course 02
Generative Design and AI in CAD for Engineering (3 Months)
Generative Design and AI in CAD for Engineering
Duration: 3 Months | Fee: PKR 35,000
Course Overview
Explore the future of engineering design with AI-driven CAD tools! This course is designed for engineers, architects, and design professionals who want to master generative design, AI-based modeling, and automated simulations using cutting-edge CAD software like Autodesk Fusion 360 and AutoCAD. Learn how to optimize designs for strength, weight, and material efficiency while leveraging AI-powered automation.
What You’ll Learn
✔ CAD Fundamentals & 3D Modeling – Learn 2D & 3D modeling using AutoCAD and Fusion 360.
✔ AI-Driven Generative Design – Use AI to create optimized, high-performance designs.
✔ Simulation & Testing – Perform AI-driven stress testing & thermal analysis.
✔ Machine Learning for CAD – Automate design processes and improve efficiency.
✔ Material Selection with AI – Use AI tools to choose the best materials for durability & sustainability.
✔ AI in Rapid Prototyping – Implement AI-powered simulations to refine designs faster.
✔ Final Project – Develop an AI-driven CAD model, optimize it, and present real-world applications.
Course Breakdown
Month 1: Introduction to CAD Tools & AI Integration
📌 AutoCAD & Fusion 360 Basics – Learn fundamental commands and 3D modeling.
📌 AI-Driven Generative Design – Optimize structures using AI-powered CAD tools.
📌 3D Modeling with AI Tools – Implement parametric design for optimized models.
📌 Simulation & Testing – Perform AI-based stress and thermal analysis.
Month 2: Advanced CAD Modeling & AI Automation
📌 AI for Design Optimization – Generate multiple optimized design alternatives.
📌 Machine Learning in CAD – Automate repetitive design tasks using AI.
📌 AI for Material Selection – Choose cost-effective, durable materials for designs.
📌 AI-Enhanced Rapid Prototyping – Use AI to refine and iterate designs efficiently.
Month 3: Final Project & AI-Driven Engineering Design
📌 AI in Product Lifecycle Management – Optimize product lifecycle with AI tools.
📌 Sustainable Engineering with AI – Design eco-friendly models with AI algorithms.
📌 Final Project – Part 1 – Develop an AI-integrated CAD model for an engineering solution.
📌 Final Project – Part 2 – Present AI-enhanced simulations and optimizations.
Who Should Enroll?
✔ Engineers & Architects wanting to integrate AI into CAD design.
✔ Product Designers looking to optimize efficiency and sustainability.
✔ Students & Professionals seeking AI-driven design expertise.
✔ Anyone passionate about AI-enhanced engineering solutions!
Why Choose This Course?
✅ Hands-on AI Integration – Learn AI-powered design and automation techniques.
✅ Real-World Projects – Work on practical engineering applications.
✅ Industry-Relevant Skills – Gain expertise in AI-driven CAD software.
✅ Career Growth – Master the future of engineering with AI and generative