• Technology: Application of academic technical knowledge into manufacturing industries (Core Industries)
• Managements Standards & Systems: TQM, QMS, EMS, EnMS, OHSAS, 5S, Problem Solving Tools & Techniques
• Organizational Philosophy & Culture: Organization structure, Communication, Interpersonal Skills, Stakeholder Management & Team Building 
• Operational Plant Visit: Exposure to Plant visit and interacting with business executives

Track A — Backend with Rust

• Master end-to-end backend development with Rust, from HTTP server implementation to database integration, enabling students to build production-ready web services.
• Develop practical expertise in modern backend concepts including async programming, ORM usage, and API design.
• Build professional-grade skills in database design, security implementation, and deployment strategies.

Track B — Solana with Rust

• Build a comprehensive understanding of the Solana blockchain architecture, account model, and runtime environment.
• Develop expertise in the Anchor framework for building secure, composable Solana programs with proper account validation, cross-program invocations, and security patterns.
• Master practical DeFi engineering skills including token vaults, AMM design, staking mechanisms, and lending protocols.
• Gain foundational knowledge of eBPF and Solana's sBPF runtime, including compute optimization, syscalls, and VM internals for performance-critical applications.

• Deep understanding of modern Android app development using Jetpack Compose UI
• Master key concepts such as Kotlin programming, activities, fragments, and navigation, allowing them to build robust and interactive user interfaces.
• MVVM architecture using Jetpack components will equip students with the knowledge to build scalable and maintainable Android applications
• Gain essential data handling skills, covering Room for local database operations and Retrofit for efficient networking
• Gain Industry experience of Application Development from Scratch to production (Both Android and iOS)

• Develop a deep understanding of Generative AI and its integration into Android applications using Jetpack Compose
• Master Firebase ML & Generative AI APIs to build intelligent and dynamic mobile experiences
• Learn to implement text, image, and speech generation features directly within Android apps
• Understand and apply Kotlin programming, MVVM architecture, and Jetpack components for scalable AI-driven applications
• Gain hands-on experience with real-time data synchronization, authentication, and cloud-based AI models using Firebase
• Build end-to-end AI-powered mobile applications, from prototype to production

• Learn AWS fundamentals and build end-to-end data engineering solutions on AWS
• Gain hands-on experience with Linux and Python basics used in data engineering workflows
• Design and implement data lakes using Am azon S3
• Build and manage ETL pipelines using AWS Glue
• Query and analyze data efficiently using Amazon Athena
• Develop serverless data processing solutions using AWS Lambda with S3, SQS, and SNS
• Understand and implement batch and event-driven data pipelines
• Use Git and GitLab for version control, collaboration, and data project management
• Implement CI/CD pipelines for data engineering projects using GitLab CI/CD
• Provision and manage AWS infrastructure using Infrastructure as Code (Terraform)
• Ensure data and code quality using Pylint and Pytest
• Containerize data applications using Docker
• Understand Kubernetes and Amazon EKS basics for deploying data-related services

• Fundamentals of AWS: Gain a solid understanding of cloud computing and the basics of Amazon Web Services (AWS), including creating a free tier account and launching EC2 instances with different operating systems.
• Storage and Data Management: Learn about AWS EBS volumes, Amazon Elastic File System (EFS), S3 storage, and advanced features like versioning, cross-region replication, and lifecycle rules.
• Network and Security: Explore AWS VPC, VPC peering, OpenVPN setup, security groups, Elastic Network Interfaces (ENI), and IP address types to build and secure your own private cloud infrastructure.
• Scalability and Performance: Understand concepts like Elastic Load Balancer (ELB), Auto Scaling, CloudWatch for monitoring, RDS for database management, and Route 53 for DNS configuration to ensure high availability and performance.
• Infrastructure Automation: Understand realtime with projects by utilising cloud formation and terraform.

• Gain comprehensive knowledge of Azure Virtual Machines, including creating, configuring, and managing them, capturing images, and attaching extra disks.
• Develop expertise in Azure networking, including virtual networks, VNET peering, and load balancing.
• Master Azure storage, including file shares, sync, managed and unmanaged disks, and storage explorer.
• Understand Azure security features such as Network Security Groups, Application Security Groups, and Azure IP, and learn how to use them to secure your infrastructure.
• Covers data ingestion, storage, processing (batch & streaming), and analytics using key Azure services like Azure Data Factory, Databricks, Synapse, and Data Lake.

• Course is designed based on Harvard’s CS50 program to create a solid foundation on PYTHON
• Students should be able to take up complex PYTHON programs subsequently
• Understanding of Engineering applications like simulations and data analysis
• Understanding of nuances of Industry

• Create foundational programming skills progressively for 1^st year Engineering students
• Understanding Of Advance Concepts like Spring boot, REST Webservices, etc
• Understanding how various concepts come together to develop an application
• Understanding of nuances of Industry

• Understanding the fundamentals of digital marketing from a business perspective
• Sound knowledge about the various stages of digital marketing relevant to recommend/implement activities for business
• Learn all about on-page best practices; SEO methods to generate relevant keywords; competitive analytics; site optimization and industry best practices
• Understand nuances of Industry

• Provide conceptual clarity on Android and IOS App development
• Expose students to mobile app development technologies and porting it to Playstore for monetising
• Learning step by step approach to handle any APK based project
• Understanding of Corporate discipline and nuances

• Provide conceptual clarity on data cleaning, preprocessing and gathering insights.
• Expose students to machine learning algorithms to make them industry ready
• Practical step-by-step approach to solving a real-world problem using ML
• Understanding of corporate discipline and nuances

• Develops a clear conceptual and practical understanding of AI agents built RAG
• Understanding of AI, LLMs, and hallucinations to the key components of RAG
• Integrating into agents that can reason, use tools, and maintain context across
• Understanding of corporate discipline and nuances

• Provide conceptual clarity on Generative AI
• Expose students to Deep Learning and Generative AI/ChatGPT
• Practical step-by-step approach to solving a real-world problem using Generative AI
• Understanding of corporate discipline and nuances

• To create a solid foundation in MATLAB
• To give an understanding of the basics in MATLAB, advanced MATLAB and various IoT & industrial applications
• To help the students to take up much more complex MATLAB programs in subsequent years to build on their programming skills.
• Get a practical exposure as students will get training from industry experts

• Per-unit system, single-line diagrams, sequence components
• Network modeling: building Y-bus and impedance matrices
• Introduction to load-flow theory (Newton-Raphson & Gauss-Seidel overview)
• Hand calculations for small systems and interpretation of results

• Advanced EV Technology and Embedded Programming for E-Mobility
• Electric Vehicle Powertrain and Embedded Systems Design
• Hands-On EV Powertrain Design and Embedded Programming Internship
• Design and Development of EV Systems: From Motors to Controllers
• EV Powertrain Engineering and Embedded System Development for E-Mobility
• MATLAB & ANSYS for EV Design: Embedded Programming for E-Mobility
• Embedded EV Controller Design and Advanced Programming for Electric Vehicles
• EV Design and Development with Embedded Systems: A Complete Hands-On Course
• Building the Future of E-Mobility: EV Powertrain and Embedded System Skills
• Practical EV Design and Embedded Programming for 2-Wheeler E-Mobility

• Basic electronics components boost up.
• Strong foundation in embedded systems, electronic sensors, and IoT using ESP32
• Hands-on circuit design and breadboard implementation for real-world applications.
• Microcontroller setup and Programming
• Communication Protocols.
• Develop your sensor module and interface with micro controller.
• Digital, Analog, PWM Concepts.
• Cloud connectivity and protocol handling using HTTP, HTTPS, and MQTT
• End-to-end capstone project, including hardware soldering, cloud integration, assessment, and certification

Note: Course Fees includes Hardware Cost

• To create a strong foundation in Digital Marketing and SEO fundamentals
• To provide practical understanding of marketing funnels, product positioning and pricing strategy
• To train students in Search Engine Optimization including On-Page, Off-Page and Technical SEO
• To introduce AI-powered tools for content creation, keyword research and marketing automation
• To enable students to plan, execute and optimize paid advertising campaigns
• To develop real-world skills in analytics, performance tracking and campaign reporting
• To prepare students for freelancing, internships and digital marketing career opportunities
• Get a Practitioners view as students will get training from industry experts

• Become a Embedded C & Python Programmer.
• Learn to Embedded System Application in C & Python.
• Build an IoT Application Development and know how use  it to solve real world problems.

Note: Course Fees includes Hardware Cost

• Become a Expert Full Stack Developer in Java .
• Learn to create robust java application.
• Upgrade your knowledge and expertise getting hands on project experience.

• Comprehensive coverage of traditional, Agile, and hybrid project delivery models aligned with global best practices.
• Practical, real-world project planning, scheduling, budgeting, and control techniques for predictable project outcomes.
• Strong focus on leadership, stakeholder engagement, and cross-functional team performance.
• Integrated approach to risk, quality, procurement, and vendor management for enterprise-grade project governance.
• Hands-on performance monitoring and closure practices to drive accountability, learning, and continuous improvement.
• AI Driven Projects
• Project Site Visit

• Python for Web Refresher: A focused review of Python basics, transitioning into advanced topics like Asynchronous Programming (async/await).
• Relational Database Foundations: Master Basic SQL to design schemas and perform CRUD operations directly on the database level.
• High-Performance Framework: Build scalable services using FastAPI, utilizing Pydantic for automated data validation and schema definition.
• Secure API Architecture: Implement professional-grade security using JWT (JSON Web Tokens) and OAuth2 for protected resource access.
• Version Control Mastery: Start with Git to learn industry-standard collaboration, branching strategies, and repository management.
• Comprehensive Testing Suite: Gain hands-on expertise in Postman and Swagger UI for interactive endpoint testing.
• Practitioner’s View: Learn the complete lifecycle of an API from local development to a fully documented and tested project.

• To help understand the Indian Securities market
• To offer the basic approaches of Fundamental and technical Analysis of stocks
• To help the students to understand wealth creation through investment in Mutual Funds
• To help students create their own strategies and back test them

• Basics of networking.
• Basic knowledge of protocols like IP, TCP, and UDP.
• The difference between IPv4 and IPv6.
• The difference between routers and switches.
• Configure and manage Cisco Catalyst switches.
• Configure and manage Cisco IOS routers.
• Live, hands-on training using real Cisco hardware (Catalyst switches, IOS routers) or simulated environments like Cisco Packet Tracer.
• Learn to configure Network devices like Router, Switch, and Wireless Network with security by using Cisco Products.
• Learn to set up, troubleshoot, and secure network infrastructures.
• Get a Practitioners view as students will get training from industry experts

• LLM Fundamentals: Understand how large language models work, including transformers, tokenization, embeddings, and attention mechanisms.
• Python for LLM Development: Use Python libraries such as Hugging Face, LangChain, and OpenAI-compatible SDKs for LLM integration.
• Prompt Engineering & Optimization: Design effective prompts, templates, and chains for accurate and reliable outputs.
• Fine-Tuning & Adaptation: Learn parameter-efficient fine-tuning (LoRA/PEFT) and domain adaptation techniques.
• Embeddings & Vector Databases: Implement semantic search, retrieval-augmented generation (RAG), and knowledge grounding.
• Tool Calling & Function Execution: Enable LLMs to call Python functions, APIs, and external tools.
• Evaluation& Monitoring: Measure accuracy, hallucination, latency, and cost using practical evaluation strategies.
•  Safety, Ethics & Responsible AI: Apply guardrails, content filtering, and compliance best practices.
•  Hands-on Projects: Build chatbots, AI tutors, document Q&A systems, and automation workflows in Python

• Hands-on cybersecurity labs using industry tools (Kali Linux, Nmap, Metasploit, Wireshark, Burp)
• Case-study based learning inspired by Harvard/MIT/Stanford teaching methods
• 30-day intensive industry-ready training program
• Focus on real-world cyber attacks and defense strategies
• Capstone Red Team vs Blue Team cyber battle simulation
• Preparation for roles like Security Analyst, SOC Analyst, and Penetration Tester
• Guidance on cybersecurity career paths and certifications (CISSP, SANS GIAC)
• Training delivered with practical demonstrations and guided lab exercises

• Exposure to compliance frameworks and case studies of real cyber incidents.
• It offers a deep understanding of the processes, technologies & techniques used to detect, investigate & respond to security threats.
• This dual-track program equips learners with hands-on skills to become job-ready for roles in Security Operations Centers (SOC) and ethical hacking.

• Understand full stack web development.
• Develop frontend using React.
• Build backend using Node & Express.
• Integrate MongoDB database.
• Deploy full stack applications.

• After completing the course, the students will be able to design digital systems using System Verilog HDL.
• They will learn how to perform digital system verification using System Verilog.
• Students will have an exposure to the best industry practice in the domain of System Verilog

• A good understanding of CMOS devices & technology.
• Proficiency in analog circuit design and analysis.
• Knowledge of Skywater 130nm CMOS technology.
• Mastery of open-source EDA tools: ngspice, xscheme& magic

• End-to-End Digital Design Flow Exposure – From RTL modeling to synthesis and FPGA validation, students experience the complete industry-relevant design pipeline.
• Hands-on Verilog-Centric Learning – Practical implementation of combinational, sequential, and system-level designs using synthesizable coding practices.
• Design + Verification Approach – Structured exposure to simulation, testbench writing, debugging strategies, and timing analysis.
• Processor-Level Case Study Integration – Application of learned modules in building and validating a simple computing architecture.
• Industry-Oriented Skill Development – Emphasis on coding discipline, timing awareness, optimization techniques, and job readiness for VLSI roles.

• Build a strong foundation in Artificial Intelligence
• Learn AI from Basics to Advanced Applications
• Work on real-world datasets and projects
• Hands-on exposure to Generative AI tools
• Learn prompt engineering & AI productivity skills
• Industry-oriented curriculum
• Capstone Project for Resume & Placement
• Certificate of Completion
• Training by Industry Professional
• Exposure to real corporate AI use cases

• Proficient Python Programming: Develop proficiency in Python programming for implementing machine learning and deep learning models effectively.
• Solid Foundation: Gain a strong understanding of the fundamental concepts, techniques, and algorithms of machine learning and deep learning.
• Practical Application: Apply supervised and unsupervised machine learning algorithms as well as design, train, and fine-tune neural networks for real-world applications.
• Data Handling and Evaluation: Learn to handle and preprocess real-world datasets, evaluate model performance using appropriate metrics, and make informed decisions based on the results.

Ethical Considerations and Industry Readiness: Understand the ethical implications of machine learning and deep learning, and be prepared to apply the acquired skills in various industry contexts.

• Create dynamic web apps using the latest of web technologies
• Enhance your skills with real-world React projects, exercises, and quizzes
• Git and GitHub skills
• Website Deployment
• Hands on Practices on Client Based projects
• Best development practices in industry

• Strong hold on coding, programming and problem-solving skills
• Kick-start to competitive programming
• Crack any coding interviews of top-notch product-based companies such as Amazon, Microsoft, Flipkart, Walmart, etc

Good results in renowned competitions like TCS CodeVita, Infosys HackWithInfy, ACM-ICPC, etc

• Develop basic programming skills in C, Python, and Embedded C for embedded and IoT systems.
• Apply electronics and circuit design principles to build and troubleshoot hardware using sensors and actuators.
• Design embedded IoT devices using microcontrollers such as Arduino and ESP32 with sensor integration.
• Develop cloud-connected IoT applications for real-time data transmission and monitoring using MQTT/HTTP.
• Integrate AI and Computer Vision with IoT devices for intelligent automation using OpenCV.
• Design and deploy complete AIoT solutions from hardware prototyping to cloud connectivity and AI-based control through projects.
• Get certificate from the AICTE IDEA Lab

•  Introduction to Programmable Logic Controller (PLC) and Supervisory Control and Data Acquisition (SCADA) systems
• Hands-on programming using Ladder Logic and basic industrial control concepts
•  Understanding industrial sensors, actuators, and control devices
• PLC hardware architecture, I/O modules, and wiring techniques
• Development of real-time automation projects
• SCADA screen development for monitoring and control
• Data acquisition, alarms, trends, and report generation
• Communication protocols used in industry (e.g., **Modbus, **Ethernet/IP)
• Integration of PLC with SCADA for industrial automation systems
• Troubleshooting and maintenance of automation systems
• Practical sessions with industrial-grade PLC and SCADA software

Note : Residence fees also includes Fooding Cost at SDI BBSR Campus (Khordha)