Training Portfolio

Hands-on, industry-aligned programmes for engineers at every level — online, on-site, or hybrid. Led by Anand Rajendran, AI/ML & Embedded Systems Architect.

Programmes from ₹12,000  ·  Corporate batches available

Embedded Systems

Design, develop, and deploy embedded solutions for automotive, IoT, SDV, and edge computing.

  • Embedded System Design
  • Embedded Systems for SDV
  • IoT
  • EdgeAI

Audience: Embedded engineers, IoT developers, SDV specialists

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Automotive Embedded & SDV

Advanced automotive software, SDV, and GenAI for next-gen vehicles.

  • Automotive Embedded Systems
  • Embedded Systems for SDV
  • GenAI in Automotive Embedded

Audience: Automotive engineers, SDV architects, GenAI practitioners

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AI, ML & Data

AI/ML, GenAI, EdgeAI, Big Data, and NLP for modern engineering and analytics.

  • AI / ML
  • GenAI in Automotive Embedded
  • EdgeAI
  • Big Data
  • Computational Linguistics & NLP

Audience: Data scientists, ML engineers, analytics professionals

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High Performance Computing

Accelerated computing for AI, engineering, and scientific workloads.

  • HPC Application Programming
  • Parallel Computing & GPU Programming
  • Accelerated AI Workloads

Audience: HPC developers, scientific programmers, AI engineers

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Full-Stack Engineering

Modern Python/Flask back-ends, React front-ends, and REST APIs — with a focus on integrating full-stack tools with embedded and data pipelines.

  • Python & Flask
  • REST API Design
  • React Fundamentals
  • Database Design (SQLite / PostgreSQL)
  • CI/CD Pipelines

Audience: Engineers building dashboards, tooling, or data interfaces for embedded systems

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Tools & DevOps

Modern development practices for embedded teams — source control, containerisation, static analysis, and JIRA-based process management.

  • Git & GitHub Actions
  • Docker for Embedded
  • JIRA / Confluence
  • Static Analysis (MISRA-C)
  • Code Review Practices

Audience: Engineering teams moving to modern toolchains and ASPICE-aligned workflows

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Embedded Systems & Test Automation

Microcontroller basics, C/C++ programming, boot loader, RTOS, Embedded Linux, device drivers, scheduling, multi-threading, IPC, and test automation.

  • Embedded C, Linux, POSIX, UART, SPI, I2C
  • RTOS Fundamentals, Embedded Linux, Device Drivers
  • Test Automation: Python, CAPL, C#, Linux Shell

Audience: Embedded engineers, test engineers, automation professionals

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Full-Stack & Leadership

Full-stack engineering (Python, Java, Node.js, Flask, Spring, SQL, Docker, AWS, GCP) combined with leadership training in project management, Agile, and stakeholder management.

  • Python, Java, Node.js, Flask, Spring, HTML/CSS, SQL
  • Cloud: AWS, GCP, Docker, DevOps
  • Project Management, Agile, Team Building

Audience: Software engineers, team leads, project managers

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GenAI in Automotive Embedded

Practical GenAI applications for automotive embedded engineers — from LLM integration in ECU workflows to AI-assisted diagnostics and ADAS intelligence.

  • LLMs, Prompt Engineering, RAG pipelines
  • GenAI for ECU diagnostics & UDS workflows
  • ADAS AI integration patterns
  • On-device inference with safety constraints

Audience: Automotive engineers, ADAS developers, ECU software architects

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EdgeAI

Train, compress, and deploy AI models directly onto microcontrollers and automotive-grade hardware — bridging machine learning and embedded constraints.

  • TensorFlow Lite on MCU
  • ONNX Runtime & Model Conversion
  • Model Quantisation & Pruning
  • TinyML, TensorRT, MLOps Basics

Audience: Embedded engineers transitioning to AI, ML engineers targeting embedded hardware

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The cost of the skills gap

₹20L+ avg cost of a 3-month embedded project delay per team
40–50% of embedded dev cycles lost to debugging without structured training
2–3× faster time-to-deploy for teams completing structured upskilling
₹35K starting price — a fraction of one delayed sprint's rework cost

Training Cost & Delivery Modes

Transparent pricing for every mode of delivery. Compare Edjitsu with leading global providers.

Provider
Onsite
(Cost + hrs)
Live-Online
(Cost + hrs)
Hybrid (Theory-Online, Labs-Onsite)
(Cost + hrs)
Self-learning (Recorded Videos + Offline Support)
(Cost + hrs)
Edjitsu ₹35,000
16–40 hrs		 ₹25,000
16–24 hrs		 ₹28,000
20–30 hrs		 ₹12,000
10–20 hrs
Udacity (Edge AI Nanodegree) — ₹55,000
80–100 hrs		 — ₹45,000
80–100 hrs
Coursera (Edge AI Specialization) — ₹32,000
40–50 hrs		 — ₹18,000
40–50 hrs
ARM (Onsite Bootcamp)
ARM AI Virtual Hub		 ₹60,000
16–40 hrs		 ₹40,000
16–24 hrs		 — 8–16
—
Edge Impulse (Self-paced) — — — ₹15,000
8–15 hrs

* All prices and durations are indicative, per participant, and based on public data as of 2026. Actual pricing and content hours may vary by provider, delivery mode, cohort size, and region.


How Edjitsu Compares

  • Competitive pricing for instructor-led and self-paced modes
  • Onsite and hybrid options at 30–50% lower cost than global bootcamps
  • All programs include hands-on labs, project work, and completion certificate
  • Custom corporate packages and volume discounts available
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