FREE Certification Courses from AITM & Coursera

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FREE Certification Courses from AITM & Coursera

Updated Sunday, 26th July 2020

Get career-ready with in-demand skills

Enroll in courses and Learn for FREE till September 30, 2020

AITM is excited to partner with Coursera, the leading online learning platform, to make our students job ready. It’s a digital leap towards transforming the learning experience for our students, alumni, and faculty!

Build the skills employers are looking for with full access to Coursera’s catalog of 3,800+ courses, Guided Projects, Specializations, and Professional Certificates

There are courses in different streams

Computer Science
Electronics and Communication
Electrical
Mechanical
Civil

Even Generic ones, like “Communication Skills” under Business / Personal Development Category

Other streams as below

Leadership and Management
Entrepreneurship
Personal Development
Business Strategy
Music and Art

These courses with Certification are absolutely FREE if you enroll through AITM. However, you will have to complete the courses by September 30th 2020

How to register

To register, send an email with your Registration Number which is available in your Engineering Degree Certificate / Course Completion Certificate or Mark List

Shrishail Bhat
Assistant Professor
ShrishailBhat@anjuman.edu.in

**This is how the homepage would look like when you get the link to join the program**

**You could then click the “Explore” Button to see the courses listed in each categories.**
**Or you could type the course in the “search bar”**

You can enroll in multiple courses which leads to Specialization and Subsequent Certification.

Like, one of the top Certification Courses “Machine Learning with TensorFlow on Google Cloud Platform Specialization” which involves the below courses

Feature Engineering
Intro to TensorFlow
Art and Science of Machine Learning
How Google does Machine Learning
Launching into Machine Learning

**Certficate issued by Coursera and Google which could be verified online**

Top Courses for IT Aspirants

Machine Learning with TensorFlow on Google Cloud Platform Specialization
https://www.coursera.org/specializations/machine-learning-tensorflow-gcp

Google IT Automation with Python Professional Certificate
https://www.coursera.org/specializations/google-it-automation

Introduction to Artificial Intelligence (AI) by IBM
https://www.coursera.org/learn/introduction-to-ai

Python for Everybody Specialization
https://www.coursera.org/specializations/python

Top Courses for Mechanical / Civil Streams

Autodesk Certified Professional: AutoCAD for Design and Drafting Exam Prep
https://www.coursera.org/learn/autodesk-autocad-design-drafting

Autodesk CAD/CAM/CAE for Mechanical Engineering Specialization
https://www.coursera.org/specializations/autodesk-cad-cam-cae-mechanical-engineering

Autodesk Certified Professional: Civil 3D for Infrastructure Design Exam Prep
https://www.coursera.org/learn/autodesk-civil-3d-infrastructure-design

Autodesk Certified Professional: Revit for Structural Design Exam Prep
https://www.coursera.org/learn/autodesk-revit-for-structural-design-exam-prep

Top Courses for ENC / EE

Development of Secure Embedded Systems Specialization
https://www.coursera.org/specializations/embedded-systems-security

After following this course successfully, you are able to develop secure embedded systems that are at the core of these safety and security critical systems. You are even challenged to program your own landing guiding system in our capstone project.

Project is a practical programming assignment in which the learner combines the knowledge from our three courses. The learner will develop a real embedded IoT system based on the FreeRTOS platform from Wittenstein Ltd. It is a true engineering task in which the learner must apply both their skills and creativity to build a functioning large scale embedded system.

If you are interested in building secure embedded systems for the benefit of humanity, this specialization is for you!

VLSI CAD Part I: Logic
https://www.coursera.org/learn/vlsi-cad-logic

A modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. This class focuses on the major design tools used in the creation of an Application Specific Integrated Circuit (ASIC) or System on Chip (SoC) design. Our focus in this part of the course is on the key logical and geometric representations that make it possible to map from logic to layout, and in particular, to place, route, and evaluate the timing of large logic networks. Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. Topics covered will include: technology mapping, timing analysis, and ASIC placement and routing.

Recommended Background Programming experience (C, C++, Java, Python, etc.) and basic knowledge of data structures and algorithms (especially recursive algorithms). An understanding of basic digital design: Boolean algebra, Kmaps, gates and flip flops, finite state machine design. Linear algebra and calculus at the level of a junior or senior in engineering. Exposure to basic VLSI at an undergraduate level is nice — but it’s not necessary.

VLSI CAD Part II: Layout
https://www.coursera.org/learn/vlsi-cad-layout

Self-Driving Cars Specialization
https://www.coursera.org/specializations/self-driving-cars

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.

This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You’ll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.

Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.

You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.

It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).