What is the IIoT Course offered by BICARD?

BICARD’s IIoT Course is a 4-month industrial training program covering Industrial IoT architecture, edge computing, data analytics, security, and smart factory applications. The course includes hands-on labs and real-world projects.

Who can enroll in the BICARD IIoT training program?

The course is designed for engineering students, working professionals, IoT enthusiasts, and those interested in industrial automation, embedded systems, and edge computing technologies.

What are the prerequisites for the IIoT course?

Participants should have a basic understanding of electronics, embedded systems, and programming. Familiarity with IoT or networking concepts is helpful but not mandatory.

What job opportunities are available after completing the IIoT course?

After completing the IIoT training, learners can work as IIoT Engineers, Edge Computing Developers, Data Analytics Engineers, Industrial Automation Specialists, and Smart Factory Solution Architects.

Does BICARD provide placement support after the IIoT course?

Yes. BICARD provides 100% placement assistance through industry tie-ups, resume building, mock interviews, and job opportunities in top embedded and industrial IoT companies.

GenAI @ the Edge Course – Learn Generative AI for Embedded Systems at BICARD

Name: BICARD Embedded Systems, IoT Training Institute in Pune
Address: Office No.54-55, 3rd Floor, Shreenath Plaza, C-Wing, Dnyaneshwar Paduka Chowk, Shivajinagar, Pune, 411005, IN
Telephone: 7276606655

Generative AI (GenAI) is revolutionizing industries by enabling machines to create content, make intelligent decisions, and perform tasks once thought impossible. While most AI solutions run on powerful cloud servers, the future lies in bringing GenAI to the edge — closer to devices, sensors, and microcontrollers.

BICARD now offers an industry-ready “GenAI @ the Edge” course designed for embedded engineers, developers, and AI enthusiasts who want to integrate Generative AI into embedded systems. This program bridges the gap between traditional embedded programming and modern AI innovations, preparing engineers for the future of intelligent edge devices.

🎯 Who Should Join This Course?

Embedded Engineers
Software Developers for Embedded Systems
Hardware Engineers
AI/ML Enthusiasts interested in Edge AI deployment

📌 Prerequisites for Enrollment

To get the most out of this program, learners should have:

Strong foundation in embedded systems concepts (MCU architecture, interrupts, memory, RTOS basics)
Proficiency in Embedded C/C++
Basic knowledge of Python programming
Familiarity with Linux commands

📚 GenAI @ the Edge – Course Modules

Module 1: Fundamentals of Generative AI & Embedded Systems (2 weeks)

Introduction to Generative Models (GANs, VAEs, Transformers, Diffusion Models)
Importance of GenAI in embedded systems (resource constraints, real-time challenges)
Review of microcontroller/microprocessor basics
AI/ML on embedded platforms (TensorFlow Lite, quantization, pruning)

Module 2: Python for AI & Data Preparation (2 weeks)

Python libraries for AI (NumPy, Pandas, Scikit-learn)
Data collection & preprocessing for sensors and IoT
Feature engineering for embedded data
ML algorithms for embedded systems (classification, clustering, regression)

Module 3: Training & Deploying Generative Models (4 weeks)

Deep learning fundamentals (CNNs, RNNs, LSTMs, GRUs)
Generative models (GANs, VAEs, Diffusion Models)
Model optimization for embedded platforms (pruning, quantization, TensorFlow Lite)
Hands-on projects: Object detection, anomaly detection, image generation

Module 4: Integrating GenAI into Embedded Workflows (3 weeks)

Prompt engineering & Large Language Models (LLMs like GPT, LLaMA)
LLM-powered embedded applications (chatbots, AI assistants)
Retrieval-Augmented Generation (RAG) techniques
API-based deployment & containerization with Docker/Kubernetes

Module 5: Advanced Topics & Ethical Considerations (2 weeks)

Transformers, attention mechanisms, and AI Agents
Optimizations for low-power devices
Ethical AI: fairness, transparency, privacy & bias mitigation
Future trends: TinyML, Neuromorphic Computing, Multimodal AI

Module 6: Capstone Project (3 weeks)

Real-world GenAI-enabled embedded project
Apply optimization techniques for real-time deployment
Project demonstration with focus on performance & ethical implications

🛠️ Learning Methodology

Theory + Hands-on lab sessions
Project-based learning with real-time use cases
Access to industry-standard tools (TensorFlow Lite, Hugging Face, AWS, Google Colab)
Mentorship from BICARD’s industry experts

❓ FAQs about BICARD’s GenAI @ the Edge Course

Q1: What is the duration of the course?
👉 The course runs for approximately 16 weeks (4 months), including lectures, labs, and the capstone project.

Q2: Is prior AI/ML experience required?
👉 Basic Python knowledge is enough. The course covers AI/ML fundamentals before moving into GenAI for embedded systems.

Q3: What kind of projects will I work on?
👉 Projects include AI-powered surveillance systems, predictive maintenance, gesture control, and anomaly detection on embedded boards.

Q4: Will I get placement support?
👉 Yes, BICARD offers placement assistance with its industry network for students who successfully complete the program.

Q5: Is this course online or offline?
👉 The program is available in both online and offline modes, making it flexible for working professionals and fresh graduates.

🌟 Why Choose BICARD for GenAI Training?

25+ years of expertise in embedded systems
Industry-oriented curriculum with real-world applications
Hands-on experience with cutting-edge AI tools
Capstone project to build industry-ready skills
Placement support for career growth

YEAR OF ESTABLISH

0 +

SPECIALIZED TRAINING

0 +

SUCCESSFUL LEARNERS

0 +

INDUSTRY EXPERTS FACULTY

0 %

PLACEMENT ASSISTANCE

P.G Diploma in Embedded Systems Design- Placements

Be Job Ready in 24 Weeks

[wpda_contdown_extend timer_id=”1″ theme_id=”1″]

How Would You Benefit From The Program?

Curriculam Designed & Delivered by data scoence & ali experts from oracle, boston consulting group, google, McKisney and Company etc.
Carrrer Transition with an Average of 50% + Salary Hike.
Life time Placement support & class recording acess.
Hiring opportunities from 200+ Data Science, Analytics & AI Companies.
Learn from anywhere – Live based training program