Course Review – Executive PG Programme in Software Development from IIIT Bengaluru
The programme is built to train each candidate in techniques to manage and interpret Big data efficiently. It is designed to kick-start your career in the software industry and make sure each candidate holds leadership positions in Big Data. The first module is a crash course on basic java which gives immense learning value to all software professionals. It has a special 12 week module on data structures and algorithms followed by big data management which provides an end-to-end learning experience. The course is theoretically extensive and it also provides a range of services for soft-skills development to ensure a unified growth. The assessments and case studies are designed to provide maximum exposure to the workings of real-world scenarios in Big Data. Lastly, it also pays attention to individual e-portfolios and GitHub profiles in order to effectively showcase the skills one has been trained for.
Highlights
URL | https://www.upgrad.com/de/big-data-pgd-iiitb/ |
Mode of Learning | Online |
Duration | 13 Months |
Fee | Rs. 2,49,000/- (Incl. of Taxes) |
Key Features
The Executive PG Programme in Software Development offers a decent mixture of live lectures and online sessions by experts on each concept. Out of the total 400+ hours of learning, 45+ hours are covered under live sessions. The comprehensive curriculum covers over 10 programming tools and languages. After four months of training, it also provides executive certification and alumni status without any additional costs. It also provides personalized career mentorship and high-performance coaching to work on individual progress. The online platform provides 24x7 student support for any technical difficulties one might face during the span of the course. Lastly, it includes access to a profile builder which is Artificial Intelligence based to ensure a polished representation of one’s skills.
Content coverage: The program comprises skills associated with Data Warehousing, Real-time Processing, Data Processing with PySpark and AWS Cloud. It includes 10 programming tools and languages including Python, Java, Hive, Kafka and many more.
Mode of Learning: The programme is hosted on an online platform with more than 45 live sessions,400+ hours of teaching content,7+ case studies and more than 14 tools and softwares.
Target Audience: The program is offered to candidates with a bachelor’s degree with over 50% passing marks. So, even IT professionals, analysts and coding professionals can grab this opportunity.
Learning support: The course offers access to upGrad’s job opportunities portal and ensures connections to companies that the candidate finds as its best fit. It also provides support for interview preparation, profile building and personalized mentors. There are a range of group and 1:1 sessions organized to lay out all options of guided training.
Price Aid: No cost EMI option is offered which allows starting with Rs. 8,450 per month.
College pedigree: International Institute of Information Technology, Bangalore is ranked as one of the top private technical universities in India by various ranking agencies.
What makes the course unique
The program offers live lectures from professionals of the field. The 7+ case studies offered are comprehensive in nature and offer good hands-on for applied learning. Along with other learnings the program includes real time data streaming using Apache kafka which is unique compared to any other peer certification in its class and offers high industry relevant learning. This also increases their networking opportunities with experts of their field. The course also includes IIIT Bangalore Alumni access for the same. It also allows peer to peer discussion forums which are supervised by the mentors. The assessments of the course are designed to thoroughly expose each candidate to the challenges faced by the professionals as a part of their complex projects.
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Course Offering
The following points cover the major offerings by the certification.
Real-time doubt clearing sessions along with peer discussion forums.
Student support is available all days and all times.
Career transition bootcamps that encompasses a list of interview questions curated from the top leaders.
The certification for Data structures and Algorithm Bootcamp.
Key discussion points
Value Addition: Detailed course coverage with a focus on end-to-end solution building over big data. Peer learning avenues, hands on case studies and Alumni status from IIIT-B.
Points to debate: The program does not offer any scholarships, but it provides the payment option through EMI at no added costs. The course also does not offer access to any paid licensed tools.
Career Options
Big Data Analyst: A Big data analyst must manage the data pipeline and must understand the nuances of big data management. Big data is difficult to manage especially when the data is in real-time, and the processes need to respond real-time as well. This is where a carefully designed data strategy comes into play. A Big data analyst would leverage multiple tools to manage, analyze and make sense out of the vast data resources and touchpoints that an organization builds.
Software Developer: A Software developer is expected to build the backend and the front-end engine of a software as a product or service. The developers who work on the front-end, often work closely with the UI-UX developers and the developers that are on the backend are responsible to manage all API integrations and data transfer modules.
Big Data Developer: A big data developer is more focused on building and maintaining the data pipeline, in comparison to an analyst who would analyze patterns and solve complex data problems. Maintaining and building the entire data pipeline is one of the essential roles that a Big data developer must focus upon and analyze essential aspects like change management and solution scaling.
Data Scientist: A Data scientist must analyze data patterns and must leverage the vast repository of data analysis algorithms to solve complex data problems. They assist in data driven decision making and use case discovery. A Data Scientist must manage, analyze and strategize the entire data management pipeline so that they have the right form of data to assist with enterprise-wide problem-solving.
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