"With organizations moving from traditional architectures to modern data architectures, data engineers have become very critical resources to build data pipelines with new relevant technologies that can scale and run on the cloud.
In today’s dynamic and competitive market, every organization looks for deeper analytics and insights to take up any enterprise level transformation. Such enterprise transformations are defined as changes in the way an organization operates, whether it is moving into a new market or adopting a new business model. Training and developing employees becomes important for the same. Employee skill development ensures that the workforce is ready to facilitate this transformation.
Organisations looking for employee training programs to deep skill their IT, data management and analytics professionals to develop and maintain structures that facilitate Big Data analytics.
Software and IT professionals working on data projects with at least 3 years of experience.
Duration: 8-9 weeks (Weekend based live sessions)
Program overview: The program seeks to establish strong foundations in key software engineering methodologies and to impart skills in building scalable enterprise data pipelines for analysis using Apache Spark - a cluster computing system well suited for large-scale machine learning tasks. Learners will use Apache Spark to parallelize computations to hide the complexity of data distribution and fault-tolerance. The program will also empower learners with the skills to scale Data Science and Machine Learning tasks on Big Datasets using Apache Spark. Learners will use Apache Spark ML libraries to develop a scalable real-world machine learning pipeline and will implement distributed algorithms for fundamental statistical models.Read More
Duration: 6-8 weeks (Weekend based live sessions)
Program overview: The program seeks to establish strong foundations in key software engineering methodologies and to impart skills in building scalable enterprise data pipelines for analysis using Apache Spark - a cluster computing system well suited for large-scale machine learning tasks. Learners will use Apache Spark to parallelize computations to hide the complexity of data distribution and fault-tolerance. The program will also establish strong foundations in the key big data pipeline using Azure Databricks - an Apache Spark based analytics platform optimized for the Microsoft Azure Cloud. Learners will use Apache Spark to parallelize computations over Azure cloud powered by Databricks and Delta Lake.Read More
The programs are delivered in a virtual immersive mode, focused on interactive masterclasses and a hands-on learning experience.
The capstone projects designed for the programs will use real-time datasets and will give market-relevant knowledge and experience.
Get easy access to the critically chosen practitioners cum mentors from the industry who carry years of experience in various technologies.
Gain expertise in Apache Spark by encapsulating key practical concepts that lead to a holistic understanding of working with distributed data analysis & computation, machine learning using Spark and managing data lakes.
Gain a first-hand experience of the Databricks platform, a pure breed enterprise platform to work on Apache Spark clusters. The platform also comes with an easy to use Jupyter notebook interface and allows seamless integration with APIs, other platforms and datasets.
Data Lake as a strategy in Data Analytics is a required skill in the industry today and is gaining popularity. The program covers integration with Delta Lake - an open-source implementation of Data Lake - using Apache Spark.
Corporate Learning Group,
Head, Solutions and Products,
Enterprise IT Business,
AI and Data Science,
Senior Training Consultant,
Senior Training Consultant and Data Engineer, StackRoute, NIIT.
StackRoute is a key partner for us in building a first-of-its-kind training program to meet the digital transformation needs of our customers. Through this program, we are creating a cadre of world-class full-stack programmers able to join multi-disciplinary teams in our Bangalore pod.
As CGI partners with clients across industries and geographies to support their digital transformation agenda, we are pleased to be working with StackRoute to continually deep skill our consultants as part of our commitment to help our clients in their journey to become agile digital businesses and achieving long-term growth.
As consumers change digital behaviors faster than companies can adapt, clients look to us for agility, speed and scale. Ergo, pairing the right people with the right skills is critical, particularly Pi-Shaped people who can work on multiple platforms, interface with design colleagues and drive digital innovation. NIIT has been our key partner as the business grows and customer’s digital transformation needs evolve.
After the submission of your application, the nominee will appear for an interactive video discussion with one of our mentors,
who will guide them regarding the right specialization.
The programs are designed to your organizational requirements and challenges as we believe in virtual immersive learning, which is real time learning with less lectures and a more hands-on experience.
As per the program design, 80 hours of lab access are a part of each program and are sufficient to make the best out of the programs. If the nominee needs additional lab access, the same can be provided at a nominal cost.
Upon successful completion and submission of the Capstone Project, the nominee will be awarded the digital certificate from StackRoute. They will be allowed two attempts to submit the Capstone Project within 30 days of the program completion.
Once you have registered, you’ll receive information regarding how you can contact us for any technical support/queries. You will also be able to submit and ask questions to the mentors through our private communication channels and during the live weekly sessions.