Pak Tech was founded with a bold vision: to create the next generation of technology leaders who can seamlessly integrate artificial intelligence with electronic hardware engineering.
In an era where intelligent systems are transforming every industry, we recognized the critical need for professionals who understand both the software and hardware dimensions of modern technology. Our Innovative AI & Electronics Program is designed to bridge this gap — equipping students with the knowledge to build everything from intelligent algorithms to physical smart devices.
Our expert instructors are industry practitioners with years of hands-on experience in machine learning research, embedded systems design, and autonomous robotics. They bring real-world projects into the classroom, ensuring every student graduates with a portfolio that speaks to employers.
"To cultivate world-class innovators by providing an integrated education in Artificial Intelligence and Electronics Engineering — empowering students to design intelligent systems that solve real-world challenges and shape a smarter future."
Our AI curriculum covers the full spectrum of modern intelligent systems, from foundational algorithms to cutting-edge generative models.
Introduction to intelligent systems, state-space search, logic model programming, and future paradigms.
Supervised/unsupervised algorithms, regression models, classifiers, and data verification scripts.
Multilayer perceptrons, gradient backpropagation, CNNs, RNNs, and transformer models.
Natural Language Processing embeddings, Large Language Models (LLMs), and prompt generation tools.
Image processing with OpenCV, real-time object tracking with YOLO, and robotic API links.
Design, build, and deploy a complete AI software stack to verify production-grade capabilities.
Our hardware curriculum teaches you to design, prototype, and deploy physical intelligent systems from the ground up.
Circuit theory, analog/digital components, breadboarding, and PCB schematic routing designs.
Processors programming, real-time sensor integrations, and SPI/I2C communication protocols.
Power converters, switching regulators, ESC controllers, and speed control parameters.
Telemetry modules, antenna links, LoRa, and wireless sensor nodes.
Aerodynamic stability, flight controller firmware calibration, IMU tuning, and GPS fusion.
Assemble, program, and conduct live flight test sessions with an autonomous waypoint quadcopter.
Every module includes hands-on projects — from training ML models to assembling drone prototypes — ensuring you graduate with a real-world portfolio.
Learn from active AI researchers and electronics engineers who bring cutting-edge industry practices directly into the curriculum.
Earn industry-recognized certificates upon completing each track, strengthening your professional profile and job prospects.
Get resume reviews, mock interviews, and direct referrals to our network of hiring partners in the AI and electronics industry.
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