How it Works?
Choose an internship role, Access Learning resources, Get Mentor Support and Complete Assigned Project within the specified time. SmartInternz provides you a seamless process of internship in company like collaborative environment.
Subscribe to a Plan
Receive an Offer Letter
Access Learning Resources
Complete the Assigned Project
Get it Reviewed by Mentor
Receive the Certificate
Internship Roles
Get into Top Emerging Jobs Roles suggested by LinkedIN. Learn from Scratch, Get Mentor Support and Build Real-World Projects.
Artificial Intelligence Developer
Artificial Intelligence with Python
Modules
Content
- What is Artificial Intelligence
- History of Artificial Intelligence
- Use Cases of Artificial Intelligence
- Role of Machine Learning Engineer
- Machine Learning Tools & Packages
Introduction to python programming
- Python Data Structures
- Python Programming Fundamentals
- Conditions and Branching
- Loops
- Functions
- Python Packages
- Working with NUMPY
- Working with Pandas
- Introduction to Data Visualization
- Introduction to Matplotlib and Seaborn
- Basic Plotting with Matplotlib and Seaborn
- Introduction to Data preprocessing
- Importing the Dataset
- Handling Missing data
- Working with categorical Data
- Splitting the data in to Train and Test set
- Feature Scaling
- The Neuron
- The Activation Function
- How do Neural Networks work?
- How do Neural Networks learn?
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
Introduction to Keras Framework
- Introduction to the Sequential Mode
- Activation functions
- Layers
- Training
- Loss function
- Building ANN Using Tensor flow using sample dataset
- Evaluating Improving and Tuning ANN
- What are convolutional neural networks?
- Step 1 - Convolution Operation
- Step 1(b) - ReLU Layer
- Step 2 - Pooling
- Step 3 - Flattening
- Step 4 - Full Connection
Classification of images using CNN
- Evaluating, Improving and Tuning the CNN
- The idea behind Recurrent Neural Networks
- The Vanishing Gradient Problem
- LSTMs
Predicting Google stock prices using RNN
- Evaluating, Improving and Tuning the RNN
- Introduction to NTLK
- Bag of Words model
- Natural Language Processing in Python
- Sentiment analysis using Natural Language Processing
- Working with the Flask framework
- Building an application with Flask Framework
- Integrating Deep learning model with Web Application
- Introduction to IBM Python Flask APP
- Deploying Python Flask application on IBM Python
- Introduction to IBM Cloud
- Introduction to AI in IBM cloud
- Introduction to Watson Studio
- Building Machine learning model in Watson Studio
- Deploying Deep Learning Models as web services
- Building a Machine Learning Model Using Auto AI
- Introduction to IBM Node-red
- Integrating Machine Learning model to IBM Node-red
- Building Web Application
Machine Learning Engineer
Machine Learning with Python
Modules
Content
- What is Machine Learning
- Use cases of Machine Learning
- Types of Data
- Role of Machine Learning Engineer
- Different types of Machine Learning
Environment Setup of anaconda
Introduction to python programming
- Python Data Structures
- Python Programming Fundamentals
- Conditions and Branching
- Loops
- Functions
- Python Packages
- Overview of OOP Terminology
- Working with NUMPY
- Working with Pandas
- Introduction to Data Visualization
- Introduction to Matplotlib and Seaborn
- Basic Plotting with Matplotlib and Seaborn
- Working with Scikit-Learn
- Introduction to Data preprocessing
- Importing the Dataset
- Handling Missing data
- Working with categorical Data
- Splitting the data in to Train and Test set
- Feature Scaling
- Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Decision Tree
- Logistic Regression
- K-Nearest Neighboring
- Support Vector Machine
- Naive-Bayes
- Decision Tree Classification
- Random Forest Classification
Model Evaluation for classification and regression problems
- K-Means Clustering
- Working with the Flask framework
- Building an application with Flask Framework
- Integrating Machine learning model with Web Application
- Introduction to IBM Python Flask APP
- Deploying Python Flask application on IBM Python
- Introduction to IBM Cloud
- Introduction to Watson Studio
- Building Machine learning model in Watson Studio
- Deploying Machine Learning Models as web services
- Building a Machine Learning Model Using Auto AI
- Introduction to IBM Node-red
- Integrating Machine Learning model to IBM Node-red
- Building Web Application
Robotics Software Developer
Robotics Software Developer
Modules
Content
- Introduction to Robotics
- Classification of Robotics
- Applications of Robotics in various industries
- Common types of industrial Robots based on Joint type
- Robotics manufacturing Companies
- Important Considerations of robotics project
- Architecture of Intelligent Robots and Robotic systems
- ROS based Industrial Robots
- Introduction to the Linux
- Linux Basics
- Advanced Utilities
- Installation of Visual Studio Code
- Python Basics
- Python Data Structures
- Python Programming Fundamentals
- Python - Files I/O
- Python - Object Oriented Programming
- Introductions to ROS
- Importance of ROS in industries
- ROS based Robots a. Turtlebot3 burger b. Franka Emika Panda etc
- Installation of ROS kinetic and its packages
- ROS file system configuration
- Basic physics properties of Robotics
- ROS Cheat Sheet
- Importance of catkin workspace
- Navigating the ROS Filesystem
- Creating Catkin workspace
- ROS in built Packages
- Creating ROS Package
- Writing simple Publisher and Subscriber using python
- Building your nodes
- Creating ROS Topic message
- Writing the Publisher topic
- Writing the Subscriber topic
- Creating ROS Package
- Writing a Simple Service and Client using python
- Building your nodes
- Creating ROS Service Message
- Writing a Service server
- Writing the Service Client
- Introduction to GUI tools
- Explanation about Rviz
- Introduction to Gazebo and its features
- Hands on exercise with model builder on gazebo for making robot world
- Introduction to URDF and its properties
- Basic syntax explanation
- Links
- Joint
- Sensor etc.
- Building two wheeled robot using URDF
- Introduction to Xacro
- Converting two wheeled robot URDF file into Xacro file
- Introduction to Laser Distance Sensor
- Integration of laser Distance sensor to the two wheeled robot
- Object Detection through Laser rays
- Introduction to RGB Camera plugin
- View the Simulated environment with RGB Camera
- Introduction to Navigation and Mapping
- Creating a 3D environment for Mapping on Gazebo
- Introduction to gmapping
- Navigation of two wheeled robot through the Trained map Environment
- Introduction to Turtlebot3 burger
- Features of Turtlebot3 Burger
- Components of Turtlebot3 Burger
- Specifications of Turtlebot3 Burger
- Remote PC
- Single Board Computer
- OpenCR
- Turtlebot3 Burger Package Installation
- Basic operations
- OpenCV OpenSave Image Files
- OpenCV Pixels and Image Structure
- OpenCV Image Encoding
- OpenCV Video Streams Input
- OpenCV Drawing Shapes
- Integrate camera to Two wheeled robot
Blockchain Developer
Blockchain
Modules
Content
- Defining the terms – what is a blockchain?
- Four core building blocks of blockchain frameworks
- Fundamentals of the secure transaction processing protocol
- Where blockchain technology has been and where it's going
- Blockchain in the enterprise
- Centralized vs. Decentralized Systems
- Layers of Blockchain
- Why is Blockchain Important?
- Limitations of Centralized Systems
- Building on the foundations of open computing
- Fundamentals of the Hyperledger project
- Hyperledger frameworks, tools, and building blocks
- Hyperledger Fabric component design
- Hyperledger Fabric – the journey of a sample transaction
- Hyperledger Fabric explored
- Understanding governance in business networks powered by blockchain
- Trading and letter of credit
- Business scenario and use case
- Setting up the development environment
- Network components' configuration files
- Launching a sample trade network
- Starting the chaincode development
- Creating a chaincode
- Access control
- Implementing chaincode functions
- Testing chaincode
- Chaincode design topics
- A busy world of purposeful activity
- Defining business networks
- Introducing participants
- Introducing assets
- Introducing transactions
- Implementing a business network
- The letter of credit sample
- Examining the live network
- IBP Services on IBM cloud
- Walk through of IBP services
- Ahead Summary of key Hyperledger projects
- The road ahead for Blockchain
- Staying engaged with the Hyperledger blockchain
Cyber Security
Cyber Security
Modules
Content
- Define Hacking
- Myths of Hacking
- Do's & Dont's
- Types of Hackers
- Digital Identity
- IP address
- MAC Address
- IP Spoofing
- Email Spoofing
- Call spoofing
- Advanced VPN
- Who is
- Tracert
- Nmap & Port Scanning
- Ping
- Introduction of Cryptography
- Basic Algorithms
- Hashes
- Encryption & Decryption
- Tradition Password patterns
- John the ripper
- Brute force in depth
- Cracking Windows Password from Boot
- SAM Dump Crack
- Blind Change Windows Password
- Malware
- Backdoors
- Ransomeware
- RAT Functionality
- Crypter FUD
- Enboxing trojan
- Installation of VMware
- Kali VM setup
- Linux 101 - Basics
- Bash scirpting
- ARP Concepts
- SSL STRIP
- TCP Dump
- Introduction to wireshark
- Man in the middle attack
- Introduction to Social Engineering
- Individual Attacking Vector
- Phishing
- Vishing
- Pdf Exploit
- MS office
- Password Guessing
- Social engineering exploit tool kit
- WIFI 101
- WEP Cracking
- WPA-2 Cracking
- Caffe-latte attack
- War driving
- Windows Hardening
- User Privileges
- Anti Virus
- CTF
IoT Application Developer
Internet of Things (IoT) Application Development
Modules
Content
- IoT Architecture & Deployment models
- Building Blocks of IoT
- Applications of IoT
- IoT Software & Hardware Frameworks
- Technical Architecture of few IoT Applications
- Introduction to Arduino Uno board
- Introduction to Tinkercad Circuits - online simulation platform
- Programming Analog & Digital I/O's with Tinkercad Circuits
- Integrate Analog & Digital Sensors with Arduino Uno
- Working with Servo Motor
- Working with Ultrasonic Sensor
- Python Environment setup
- Python-Variable Types
- Python- Basic Operators
- Python- Strings
- Python- Lists
Python basics
- Tuples
- Dictionary
- Date & Time
- Functions
Files I/O
- Python In-Built libraries
Overview of OOP Terminology
Creating Classes
Python Network Programming – TCP/IP & Socket Programming
Basics of Networking
- IP Address
- Ports & Sockets
- Direct + Reverse Connection
- Create a server
Network Programming with Python
- Creating a Socket
- Binding the Socket and Listening for Connections
- Sending Commands to the Client
- Client to Server Connection
- Testing the Program Locally
- Device Network Connectivity
- Client-Server Communication Model
- Publish-Subscribe Communication Model
- Working with HTTP and MQTT protocols
- Introduction to Raspberry pi
- Introduction to IOTIFY platform
- Programming Sensors using IOTIFY Simulators
- Device Management
- Device Authentication
- SDK’s & API Integrations
- Getting Started with IBM Watson IOT Platform
- Connect Raspberry pi in IOTIFY platform to Watson IOT Platform
- Send Sensor Data to Watson IoT Platform using MQTT
- Visualizing real-time data by using boards and cards
- Introduction to Cloudant NoSQL DB
- Query and Process Watson IoT Device Data from Cloudant NoSQL DB
- API & Client Libraries for Cloudant NoSQL DB
- What is Computer Vision
- Applications of Computer Vision
- Introduction to OpenCV, Python Packages
- Working with image and video files
- IBM Watson Visual Recognition API
- Speech to Text API
- Text to Speech API
- IBM Watson Assistant Conversational Devices
- Python Web Frameworks
- Flask Templates
- Flask Forms
- Flask and Databases
- Explore Python Web App with Django Service
- Creating a basic web app with a starter kit
- Creating a custom application
- Deploy custom application by using the Developer Tools
- Launch the application in the browser by using the custom URL
Building Usecases
Robotic Process Automation
Robotic Process Automation
Modules
Content
- Introduction to Foundation Training
- Accessing the Blue Prism Learning Edition
- Expression Writing
- Introduction to Process Studio
- Process Studio Interface
- Decision Stages
- Calculation Stages and Data Items
- Process Validation
- Data Items
- Process Validation
- Introduction to Process Flow
- Circular Paths
- Controlling Play
- Collections and Loop
- Layers of Logic
- Input Parameters
- Stepping and pages
- Data Items Visibility and Data Types
- Output Parameters
- Control Room
- Process Output
- Tools
- Business Object
- Business Object and Action Stages
- Object Studio
- Business Objects and Applications
- Application Modeler Attributes
- Navigate Stages
- Wait Stages
- Throttle and Unconditional Waits
- Write Stages
- Unique Attributes
- Press
- Attach and Detach
- Read Stage
- Actions
- Action Input and Outputs
- Multiple Business Objects
- Introduction to Exception and Management Overview
- Exception Management
- Introduction to Exception Handling
- Recovery Mode
- Throwing Exceptions and Exception
- Exception Bubbling
- Preserving the Current Exception
- Blocks
- Introduction to Work Queues
- Working Items
- Queue Items
- Work Queue Configuration
- Deferring Items
- Exception Item Retries
- Introduction to Additional Features
- Release Manager
- Consolidation Exercise - Practical
- Introduction
- Brower Extension
- Session Initialization
- Interacting with HTML Elements
- Surface Automation Setup
- Surface Automation – Basic Training
- Application Building
Java Spring-Boot Developer
Java Spring-Boot Developer
Modules
Content
- Web Applications
- Platforms Used for Development
- Deployment Models
- HTML Introduction
- HTML Editors
- HTML Basics
- HTML Basic
- HTML Elements
- HTML Attributes
- HTML Headings
- HTML Paragraphs
- HTML Styles
- HTML Quotations
- HTML Comments
- HTML CSS
- Types of CSS
- HTML Colors
- HTML CSS
- HTML Tables
- HTML Lists
- HTML Classes
- HTML Id
- HTML Images
- HTML Links
- HTML Iframes
- JavaScript Variables
- JS Operations
- JS Conditions
- JS Loops
- JS Selectors
- JS DOM
- JS Events
- Introduction to Spring Boot
- What is dependency injection?
- Why Spring
- Architecture
Practical
- Setting up Spring Boot IDE
- STS (Spring Tool Suite)
- Web App using Spring Boot
- Application Properties file
- Accepting Client Data
- Model Object
- Model and View
- Code Structure
- GET API
- POST API
- PUT API
- DELETE API
- Sample App using rest API.
- Exception Handling
- Interceptor
- Logging
Handling exceptions
- Controller Advice
- Exception Handler
Handler Interceptor
- preHandle()
- postHandle()
- afterCompletion()
File Handling
- File Upload
- File Download
Scheduling
- Java Cron Expression
- Fixed Rate
- Fixed Delay
- Create operation
- Read operation
- Update operation
- Delete operation
- Sample App using
- CRUD operations
- Web Socket.
- Sending Emails.
- SMS through Twilio Service.
- Securing Web Application
- OAuth2 with JWT
- Creating Docker Image
Building Usecaes
- Authorization Server
- Resource Server
- OAuth2
- JWT Token
- Securing Web App
- What is Cloud computing?
- Categories of Cloud Services
- Different types of Cloud
- Introduction on Heroku Cloud
Building Usecaes
- Introduction to Heroku Cloud.
- Understanding the services in cloud.
- Register for Cloud Account.
- Install CF CLI
- Deploy the Sample APP
- View the Logs
- Connect to a Database
- Scaling Your APP
- Application Building
- Build your App
Subscription Plans
Choose a right plan based on your competency. We recommend CareerPro plan, if you are looking for
instructor-led training on technology with dedicated mentor support for project work.
CAREER BASIC
- 1 Guided Project
- 1 Month Access
- Individual Project
- E-Certificate
- Course Learning Videos
- Mentor Support
- Live Classes
- Physical Certificate
CAREER PLUS
- 2 Guided Projects
- 2 Months Access
- Individual Project
- E-Certificate
- Course Learning Videos
- Mentor Support (Limited)
- Live Classes
- Physical Certificate
CAREER PRO
- 3 Guided Projects
- 3 Months Access
- Individual / Team Project
- E-Certificate
- Access to Recorded Videos
- Dedicated Mentor Support
- 40 Hrs. of Live Classes
- Physical Certificate
Meet our Interns
Check out our happy Interns share their wonderful experience working with us
Srusti Sain
Ramaiah Institute of Technology, Bangalore
I started with Just basics of python But everything SmartBridge taught right from the scratch was a wonderful experience. The experience with Smartlnternz Platform, where the project was done, was very seamless and hassle free. Through Slack, sometimes when we failed to understand, Mentors were always present to clear them. Recorded sessions are available. Everything is so systematic, be it Kahoot! Quizzes.
SrustiSain
Sheetal Patnaik
Student, GITAM Vizag
The sessions were very clear, informative and interactive too. All the doubts were clarified as soon as it was raised by both of them. Kahoot was also an amazing platform where day-to-day analysis of the knowledge was done at the end of every session. The modules were well covered and the objectives were aligned properly. There was always a recap of the previous sessions and queries too were cleared.
Karre Sathwika
J.B Institute of Engineering and Technology, Hyderabad
This was a wonderful opportunity provided by SmartBridge. Being a student with electronics background from we don't have the proper knowledge of coding but after getting interned the SmartBridge #RSIP2020 Al Internship I was very enthusiastic to do coding on my own. Now, am confident that i gained immense knowledge on emerging technologies during my free time by joining here. Thank you for explaining the session very clearly.
Sai Shashank
Vellore Institute of Technology, AP
It was actually a wonderful experience working with SmartBridge, the environment they provide here makes everyone learn something new and apply in the real time projects. The main thing is, the mentorship .They'll really guided me well. Through the Smartlnternz Project Management tools such as Slack, Zoho writer and Github, I could seamlessly Communicate, Document and Deploy my project.
Frequently Asked Questions (FAQ's)?
Global Remote Internship Program is an initiative by SmartInternz to roll out project based learning combined with remote Internship for all technology enthusiasts to upskill themselves on emerging technologies with the support of Mentor and a unique platform to provide a company-like environment for the students
Basics of any programming language would suffice. Prior knowledge on Python would be an added advantage.
Yes, we charge for the training and Smartinternz platform services as part of Internship, refer Internship plans for more details.
Yes. You will have good mentor support from the respective mentors through communication channels provided by us depends upon the subscribed plan.
Yes, every successful intern will get an internship completion letter as per the company policy. If college needs any specific format, you can approach the internship coordinator.
Projects on real world & Industry use cases developed by SmartBridge team are assigned to Interns to give them awesome project experience.
Guided projects are projects that are provided to students in the form of activities and steps that actually help one develop a project seamlessly with all necessary references linked to the project powered by direct mentor support.
Every Intern will work on minimum one project during the internship and the projects will be effectively managed through smartinternz platform for future reference.
Yes. Upon completion of internship, a unique link will be generated to access the Internship Completion Letter. Interns can download the letter anytime in the future.
Yes, for the best interns we will provide, however please talk to internship coordinator about the same.
