Tech Carrier Builder

From Basics to Industry-Ready AI & Engineering Learn cutting-edge skills in AI, ML, IoT, Embedded Systems, and more — guided by industry mentors with real-world projects.

Foundations of Artificial Intelligence

Explore the core concepts of Artificial Intelligence—from how machines think and understand language to the ethics behind smart systems. This course lays the groundwork for building intelligent, responsible, and autonomous technologies.

 

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  • 🧠 Intro to AI & ML – Foundations of smart systems

  • đŸ€– Intelligent Agents – How machines think

  • 📚 NLP – Teaching machines to understand language

  • 🛰 Robotics – Motion, control, and autonomy

  • 🧭 AI Ethics – Using AI responsibly

✅ 40+ Hours Expert-Led Training
✅ 6 Months Learning Access
✅ Real-Time Assignments
✅ Industry Mentorship
✅ Internship Certificate
✅ Letter of Recommendation
✅ Placement Support (Resume, Aptitude, Mock Interviews)

🛠 Minor Project:
Build your own AI assistant or IOT-based alert system

🚀 Major Group Project:
Collaborate on a Smart Traffic Controller or Autonomous Delivery Bot

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Electronics Domains

Master the core areas of electronics with hands-on, practical learning. From embedded systems and IoT to PCB design, robotics, and programming in Embedded C—each domain is designed to build real-world skills for students, hobbyists, and professionals alike.

 

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Embedded systems are the backbone of modern electronics, integrating hardware and software to perform dedicated tasks efficiently. Learn how microcontrollers, real-time operating systems, and firmware work together to power everything from home appliances to industrial machines.

Key Topics:

  • Microcontroller architecture (8051, AVR, ARM, etc.)

  • Real-Time Operating Systems (RTOS)

  • Peripheral interfacing

  • Embedded software development

  • Debugging and simulation tools

IoT connects devices to the internet, enabling smart communication and data sharing. This domain focuses on building connected ecosystems using sensors, actuators, cloud platforms, and wireless technologies.

Key Topics:

  • Sensors & actuators

  • MQTT, HTTP protocols

  • ESP32, Raspberry Pi development

  • Cloud integration (Thingspeak, AWS IoT)

  • Data analytics and dashboards

Printed Circuit Board (PCB) design is essential for converting electronic circuits into real-world applications. Learn to design, simulate, and fabricate reliable PCBs using industry-standard tools.

Key Topics:

  • Schematic design and simulation

  • Layout techniques (single/double/multi-layer)

  • Design tools: KiCAD, Eagle, Altium

  • Gerber file generation

  • PCB manufacturing & testing

Fundamentals are key. This domain introduces the essential concepts of electricity, components, and circuits—perfect for beginners or those wanting to strengthen their core knowledge.

Key Topics:

  • Ohm’s Law, Kirchhoff’s Laws

  • Resistors, capacitors, diodes, transistors

  • Analog vs digital signals

  • Breadboarding and circuit building

  • Multimeter usage and troubleshooting

Digital design underpins modern computing and control systems. This domain covers logic gates, combinational/sequential circuits, and hardware description languages.

Key Topics:

  • Logic gates & Boolean algebra

  • Flip-flops, counters, and registers

  • Multiplexers, decoders, encoders

  • Finite State Machines (FSM)

  • Introduction to VHDL & Verilog

Robotics blends electronics, mechanics, and programming. Dive into autonomous systems and robotic control—ideal for innovators and builders.

Key Topics:

  • Sensors & actuators in robotics

  • Motor control (DC, Servo, Stepper)

  • Path planning & obstacle avoidance

  • Arduino/Raspberry Pi programming

  • Robot simulation platforms (Gazebo, V-REP)

Embedded C is the go-to language for programming microcontrollers. Learn how to write optimized and reliable code for hardware control.

Key Topics:

  • Data types, loops, functions in Embedded C

  • Bitwise operations and memory management

  • I/O port programming

  • Interrupts and timers

  • Interfacing sensors & peripherals

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Computer Science Domains

Explore the dynamic world of computer science with domains that shape today’s digital landscape. Whether you're starting out or leveling up, these paths offer hands-on learning, real-world tools, and future-ready skills across development, AI, security, and cloud.

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Step into the future of AI with tools that create—from text and images to music and code. Learn how models like GPT and Stable Diffusion power creative and intelligent applications.

Key Topics:

  • Large Language Models (LLMs)

  • Text/image generation

  • Prompt engineering

  • AI tools & platforms (ChatGPT, DALL·E)

  • Ethics in AI-generated content

Build intelligent systems that learn from data. This domain covers supervised, unsupervised, and deep learning techniques used in prediction, classification, and automation.

Key Topics:

  • Regression, classification, clustering

  • Neural networks & deep learning

  • Model training & evaluation

  • Scikit-learn, TensorFlow, PyTorch

  • Real-world ML projects

Protect systems, networks, and data from cyber threats. Learn the fundamentals of ethical hacking, encryption, and digital defense.

Key Topics:

  • Network security & firewalls

  • Ethical hacking & penetration testing

  • Cryptography basics

  • Security audits & threat analysis

  • Cyber laws & best practices

Master cloud platforms and services that power modern applications. Learn how to deploy, scale, and manage services on the cloud.

Key Topics:

  • Cloud models: IaaS, PaaS, SaaS

  • AWS, Google Cloud, Azure basics

  • Virtual machines & containers

  • Serverless computing

  • CI/CD & DevOps tools

Build a strong coding foundation with widely used languages. Learn syntax, logic, and how to create software, games, and system tools.

Key Topics:

  • Syntax and data structures

  • Object-oriented programming

  • Algorithms and problem-solving

  • File handling, APIs

  • Competitive programming

Design and build mobile or desktop applications that users love. From front-end design to back-end integration—create complete, functional apps.

Key Topics:

  • Android (Java/Kotlin), iOS (Swift) basics

  • Cross-platform frameworks (Flutter, React Native)

  • UI/UX design principles

  • Backend integration (Firebase, REST APIs)

  • Deployment & versioning