Industrial Internship & Training Program
Industrial Internship and Training Program
Launch Your Career in Data, AI, Cloud, Software and Emerging Tech.
Join Electrocloud Labs’ intensive, hands-on Industrial Training and Internship Program designed for engineering, computer science, IT, and related streams. Build real-world projects, gain internship experience, and become job-ready in high-demand technologies like Generative AI, Data Science, Cloud Computing, Full Stack Development, IoT, Digital Twin and more.
Duration: 4–12 weeks (track-wise)
Mode: In-campus / Hybrid (as per college)
Outcome: Industry projects + Internship certificate + Placement support
Internship Domain
Multi-Track Technology Training with Real-World Projects and Internship Support This program offers 10 industry-focused technology tracks delivered by working professionals and industry mentors. Students gain hands-on experience through labs, projects, hackathons, and internship-style assignments that simulate real company work environments

Generative AI for Developers
GenAI, LLM usage (OpenAI, Google Gemini, Copilot), building GenAI-RAG-based solutions, understanding model limitations and ethics and Prompt engineering.

Artificial Intelligence and Machine Learning
Learn the Advanced ML algorithm and ML workflow, Deep Learning-ANN, CNN, RNN, APIs and cloud deployment, and Transformers.

Data Science and Machine Learning
Fundamentals of Python and Data Science Libraries, data analysis and cleaning, Supervised and unsupervised learning, model evaluation, feature engineering, ML pipelines.

Data Analysis using Python
Python Programming, data analysis and cleaning, Data wrangling, visualization, exploratory data analysis, NumPy, pandas, Matplotlib/Seaborn.

Data Analysis using Business Intelligence Tools
Power BI / Tableau dashboards, DAX basics, reports and interactive business visuals. Working on a time case study project.

Full Stack Software Developer
HTML, CSS, JavaScript, frontend framework (React/Angular/Vue), backend (Node/Java/Python), REST APIs, database integration.

Java Developer
Core Java, OOPs, Collections, JDBC, Spring / Spring Boot basics, unit testing, working on a real-time case study and application development.

Cloud Technologies (AWS / Azure / GCP)
AWS/Azure/GCP basics, compute, storage, networking, deploying simple applications and services.

Internet of Things (IoT)
Arduino, Node MCU, Raspberry Pi and multiple Sensors, communication protocols, and cloud integration. Hand-on real-time application development.

Digital Twins
In industry, digital twins are used to test changes, predict problems, and optimise performance for things like machines, factories, buildings, or even entire cities

Ethical Hacking and Cyber Security
Practicing of testing computer systems, networks, or applications by simulating real cyberattacks to find and fix security weaknesses before criminals can exploit.

Cloud Technologies (AWS / Azure / GCP)
A short description of the service and how the visitor will benefit from it.
Key features
Industry-aligned curriculum
Industry-aligned curriculum designed around current tools, frameworks and cloud platforms
Project-based learning
Each student completes 2–3 end-to-end mini-projects plus one capstone.
Internship-style work
Assignments modeled on real corporate tasks, code reviews, and documentation.
Expert mentors
Sessions handled by Data, AI, Cloud, and Full Stack professionals.
Program Outcomes
- Build a strong project portfolio showcasing your chosen technology track
- Gain an internship experience certificate from Electrocloud Labs
- Improve chances of placement with job-oriented skill training and interview preparation.
Send a request to host program at your campus
Faq's
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