Is an AWS Certification enough to launch a cloud computing career?

Reading Time: 2 minutes

Cloud Computing is a fast-growing domain in our digital economy because it has upended how organizations store and retrieve their data and digital services. AWS was an early entrant into this field, as a cloud computing platform that offered a scalable tool that addressed the infrastructure requirements through on-demand cloud computing platforms to individuals, companies and governments, on a subscription basis.

To improve operational and delivery efficiencies, companies turn to AWS to host their applications. AWS has firmly established itself in the existing market as a top-rated cloud computing service. That’s why being certified in AWS would be a valuable asset if you are trying to build a well-rounded cloud computing resume.

The AWS certification course is designed to ensure that you gain an in-depth understanding of the Amazon Web Services’ objectives and principles. The most common objective of taking this course is to learn to design and scale AWS cloud implementations. Having to be recertified every 2 years also ensures that the skills of the participants are always relevant and up to date.

Top 3 reasons to choose an AWS Certification

1. Being certified as an AWS professional demonstrates to potential recruiters the
depth of information and your commitment to learning cloud computing.
2. AWS certified professionals are consistently listed among the top paying
info-tech certifications worldwide.
3. Over 68% of enterprise respondents reported using AWS to run their cloud applications. There are more opportunities compared to other platforms.

So should you choose to pursue an AWS certification? The simple and direct answer is yes, but is an AWS Certification enough to boost your career? That’s where cloud experts would disagree.

Choosing just AWS Certification might be a good first step because the cloud computing arena is constantly evolving and changing. Microsoft Azure and Google Cloud are also strong contenders for being leading cloud providers and are offering young professionals a competitive edge.

To truly launch your career in cloud computing, you’ll need a comprehensive program that covers all the aspects of the cloud, that gives a well-rounded understanding of the fundamental concepts. It needs to equip you with the right skills and tools that help you build innovative cloud solutions. An extensive program needs to offer certain benefits to students, such as:

1. Learning to apply concepts and work with tools and platforms across industry-relevant use cases.
2. Learning from experienced cloud computing industry practitioners.
3. Personalised mentorship from cloud architects working in leading companies.

In comparison to just AWS Certification, a Post-Graduate program in Cloud computing offers you holistic cloud skills that will enable you to succeed in your career. Experts at Great Learning have put together a comprehensive Post Graduate Cloud Computing Program that consists of cloud environments such as the ubiquitous AWS, along with Google Cloud and Microsoft Azure. Spread over 6 months, PGP – Cloud Computing is an extensive course has helped people in putting their careers on the fast track to success.

2019 Report – Career Options in India for Analytics and Data Science.

Reading Time: 2 minutes

Analytics and Data Science have seen steady growth in the past few years, and they’re all set to be the jobs of the future. These domains are helping companies leverage data to make smarter decisions and drive better results.

With the increased proliferation of digitisation replacing paper-based processes, businesses and organisations now have access to large amounts of data on their processes and resources. The advantage of this digitisation is two-fold – one being that it’s made data collection and preservation much easier. This has, in turn, granted access to large volumes of data that were previously unavailable for analysis. The next step after getting access to all this data is to analyse them and mine them for insights.

The world is on a steady trajectory towards relying on hard-data to make rational decisions, instead of relying on untested hypotheses and ‘gut feelings’. The demand for higher degrees of efficiency in processes can only be achieved through insightful analysis of clean data, which is facilitated by Data Science and Analytics.

The need for qualified analysts who can make sense of large volumes of data has created a large demand of analysts and data scientists who can work across industries. This has created huge opportunities for professionals who are able to leverage the data to offer new insights. There are a wealth of opportunities available in India, waiting for the right talent to snap them up.

To make it easier for modern professionals in India to understand the kind of opportunities that are available to them, we partnered with Analytics India Magazine to produce the Analytics and Data Science Jobs in India Study 2019.

This report will offer key insights such as:

  • * Cities offering the best analytics and data science opportunities
  • * Industries with high potential for data science and analytics
  • * Analytics jobs available for specific skill sets and tools
  • * Median salaries for Analytics and Data Science professionals


You can download the full report here.

I got a lot of tips on performing well in interviews: Ramya, PGP-DSE.

Reading Time: 2 minutes

We are defined by the choices we make. In the case of our DSE alumnus Ramya, the choice was clear. Read further to know why she considered the PGP-DSE program by Great Learning as the ideal choice.

Why did you choose this particular program?

I completed my graduation in electronics and communication engineering. After college, I took up a Python course out of my own interest. Later, I decided to take up a full-time data science program; one which would help me to learn data science from scratch. My mother works for Great Lakes and she advised me to take a look at the diverse courses offered by Great Learning. I realized that PGP-DSE is the perfect match for me. The PGP-DSE program is best suited for freshers who want to build a career in data science. I was certain about the quality of the course. I didn’t even consider any other institute and enrolled for the DSE program right away.

How was the program curriculum and how is it structured?

As a fresher, I knew very little about data science but at the end of the program, I was well-versed with all the industry-relevant tools and topics. It was the ideal and the best way to learn data science. All the concepts were taught during this program with hands-on training on topics like text mining, Hadoop, SQL etc. All the Faculty were really great and I really love the way this program is structured

What are your career aspirations?

I got into Saksoft, thanks to the career fair organised by Great Learning in Chennai. My resume was shortlisted by three companies- Monexo, Saksoft, and Merit. After a f2f interview, I got a call from Saksoft for a case study test at their office followed by a rapid-fire round. The data set that was given in the case study round was similar to the classroom project that we did. So, I could do it very well. Also, Mr Hariram, who is a BABI Alumnus had given general interview guidance after my interview session with Saksoft. I got this offer even before completing the program.

What kind of career guidance did you get from your mentor?

We were properly groomed for the interviews. I would like to thank Mr Shyam Muralidharan who took my mock interview. He was very patient. He gave a lot of tips on how to perform during the interviews and highlighted the areas of improvement as well. I couldn’t have performed well in my Saksoft interview without the mock interview experience. Even after getting the job I chose to take a career mentoring session and I booked my session with Mr Shyam. Career mentoring is a good initiative as it helps students to get guidance on choosing their career path.


Robust and Reliable PGP-BABI Program at Great Learning- Praveen

Reading Time: 2 minutes

Our PGP-BABI alumnus Praveen Tayal was keen on transitioning to a career in data science, even after 15 years of working in the aerospace and automobile domain.

In his own words:

My Journey So Far: I am a Mechatronics Engineer with around 15 years of experience in the Aerospace and Transportation domain. I have mostly worked on core engineering simulations, building API based Engineering Tools and Product Life Cycle Management (PLM) system. For the last 2-3 years, I have been engaged with core Data Science projects revolving around New Product Introduction (NPI) for both internal and external customers.

My Reasons for Pursuing the PGP-BABI program: Since I have a mixed background of Mechanical Engineering and Robotics, I had a natural inclination for Computer Science Algorithms and I picked up a few projects in my organization beyond my office hours. Then I figured that I lack knowledge in certain areas and I need to enrol in a formal program, preferably with the classroom blend. I chose the PG Program in Business Analytics because it met my expectations and it is the top-ranked program in analytics. The knowledge that I gained from the course was helpful in the execution of the self-started projects in my organization. The duration and learning format of PGP-BABI gave me the flexibility of managing my workload and learning side by side.

Program Highlights for Me: I believe the program structure is pretty good. It covers a lot of different elements and knowledge of other domains. So, there is something for everyone to learn even if you are an expert in any particular domain. It also exposed me to the type of algorithms people use in different companies for problem-solving. Then, the amazing faculty! They are subject matter experts with industry knowledge who focussed on building our concepts from day 1.

Great Learning’s PGP-BABI is the Perfect Course: After working for 15 years, I needed a strong foundation in analytics and a solid program like PGP-BABI to start with. In my opinion, everybody should take up formal courses for a shift to data science and analytics role. One can always use the program learnings as the starting point during interviews.

I was able to switch my job internally because of my networking: I knew the exact people I had to contact in case some opportunity showed up. I shared my assignments and the capstone project and kept in touch with them. I also participated in internal hackathons in my organization. I would reach out to the key people for any queries and I built a good rapport with them. Finally, I got an opportunity and I made use of it.

Tools & techniques used in my current role: I use statistical tools and open source tools. Mostly, R and Python. I also use distributed computing to process the algorithms on the large historical data from the aircraft.

My Advice to Aspirants Looking for a Transition to Analytics: I started getting hands-on experience because I was self-driven and motivated in networking within my company. You got to do it because jumping out into this domain as a fresher could be challenging. Until you have a body of work and a few projects that can act as highlights on your resume, you won’t be taken seriously. Participate in hackathons. Start networking with people in your company for opportunities and most importantly, apply analytics in your current role. There is a certain passion that you have to bring to the table along with your skill set. Good conceptual knowledge, mathematical skills and asking a lot of questions will always help.


Great Learning helped me scale new heights – Sravan, ML Alumnus

Reading Time: 3 minutes

Artificial Intelligence and Machine Learning are at the forefront of the technological revolution we are witnessing today. The number of individuals aspiring to become certified AI and ML practitioners has increased exponentially. There are a lot of institutes to choose from to learn AI, so making the right choice needs to be a calculated move.

Read on to find out why Sravan Malla, our Machine Learning program alumnus considers Great Learning as the ideal choice.

  • Why did you choose Great Learning to learn Machine Learning?

I am a graduate in Mechanical Engineering and have started my career in IT as a Mainframe Developer, so the challenges began from then. Though I am having a good time working as a Developer at IBM, I was always encouraged to take up new responsibilities and got a chance to explore the area of analytics. I then developed an interest and started learning about analytics and always wanted to support my self-learning with a well-defined course curriculum; for which I explored and shortlisted few institutes. The curriculum of the Machine Learning program by Great Learning met my requirements and seemed promising. So, the reason I chose Great Learning. I had just three and a half years of experience when I took up this program but the way course is defined suits all levels of experience.

  • Were the faculty approachable and knowledgeable?

The class interactions are the best I can say. I was doing it all online before I enrolled for the program and personally, I felt that there are a lot of distractions in an online course and it can be challenging to reach out to the faculty directly.

The professors who come to teach the machine learning program at Great Lakes are not any fresh college graduates. They are highly experienced professors and industry practitioners. I utilized the opportunity to interact with the professors to the fullest. I had a chance to hear from best professors like Dr. Srabhashi Basu, Dr. Narayana Darapaneni and Prof. Mukesh Rao who took most of our sessions and the best thing is even today, they are approachable.

  • Did your career improve after you completed the program?

The career progression did not happen just like that, it’s not a miracle. Before and along with the course, I had lots of homework. This course really helped me to do that homework in a proper manner and I got a chance to work in this area in my current company. Later when I was on the verge of completing the course, I had multiple job offers in the field of Data Science and Machine Learning from a couple of companies. I have accepted the role and decided to work with Accenture as a Sr. Analyst – AI/ML Engineer which looked more promising and was aligned to my career goals.

I would like to thank Great Learning from the bottom of my heart for providing me with the required support and guidance throughout my journey and making this possible.

From Day-1 of my journey, I believed that the Great Lakes Machine Learning program is the right choice for enhancing my skillset. Once again, I firmly want to say that I came to the right place and my career goals have been fulfilled because of the proper strategy, plan, course structure, and the excellent faculty which Great Learning had in place. Though I have utilized the resources to the maximum extent possible, I should say that there is still a lot more to learn and grow and just like Great Learning, I believe in continuous learning.

  • Do you have any advice for the aspirants?

Firstly, one must stick to the goal they set and avoid all the distractions, it might not be as easy as we say, but the results are a pay-off for all the sacrifices and hard work you put in. Sometimes, people or situations around may make you feel down, just ignore and keeping giving your best. Keep remembering the quote “Repetition is the mother of all skills” and feel proud to revise the concepts twice, thrice or until you feel you are comfortable. The one thing that should always keep you motivated was the zeal and strong will to be future-ready.

The Program helps me to work on New Projects: Nagaraj, PGP-CC Alumnus

Reading Time: 2 minutes

It is said that ‘Change is the only constant’.

The technological landscape is constantly evolving. Trends come and go and the required skills one needs to be proficient in changes with the trend.

Read on to find out how Nagaraj Ethirajulu, our PGP-CC alumnus, a professional with 15 years of experience in the IT industry, resolved to upskill with Great Learning to make a career transition.

Why did you take up the Post Graduate Program in Cloud Computing?

I have 15 years of experience in the IT industry. I am currently working for TEKsystems Global Services as the delivery manager for infra and cloud services. Prior to that, I was working with Oracle as Cloud Operations Manager and I was responsible for transitioning the PaaS Operations team in India. I took up this particular course mainly for transitioning into a solutions role as most of the organizations are shifting from different platforms to cloud. I had some exposure to Oracle Cloud and wanted to explore more on AWS and Azure. That’s when I got to know about the PGP-CC program and I decided to take it up.

Did you consider any other programs before enrolling?

I kind of looked into some physical/classroom sessions in some training institutes but they weren’t engaging enough as only the basics were taught. There wasn’t much exposure to hands-on learning. Then I got to know about Great Learning’s Cloud computing program through LinkedIn and I took it up.

This is an online program – was it interactive enough for you?

It was more like a classroom session. There were no issues at all. Most of the sessions were live interactive sessions. The projects and labs that we worked on were really good.

At Great Learning, all the courses are co-created and co-delivered by leading industry practitioners and SMEs. This makes all our programs aligned with the industry requirements. Candidates learn relevant tools and techniques from the very first day.

How is the program helping you in your current role?

I can say that I got the best out of the program and it is helping me in my current role and also to work on some new projects.

Are you Azure or AWS certified?

I am not Azure or AWS certified at this point in time but I am planning to do so.

How was your experience with Great Learning?

I had an amazing experience learning new things on AWS Cloud. The knowledge which I have gained in the last 6 months has groomed me enormously to work on new opportunities in my current organization.

My expectation from the course was to be able to work on providing solutions w.r.t the cloud and infra services and Great Learning delivered on that. I am sure this would not have been possible without great mentors like Nirmalya and Shiva.

I would like to thank Kanchan for her great coordination throughout the course, she was available immediately for any queries.

Advice to the aspirants?

It takes some time to adjust to the model of online training and work-life balance is really important. You have to sacrifice your weekends for 6 months and you should dedicate your time for the program sincerely.

Weekly Artificial Intelligence Round-Up – February 22, 2019

Reading Time: 1 minute

Here’s our weekly round-up of the most essential reads on Artificial Intelligence from across the Internet:

  1. AI:It’s just like us: Researchers have made an AI whose performance improves when they let it ‘dream’. They’ve configured a sleep state for the algorithm which cycles through existing information and unlearning unnecessary data, and then consolidating what’s left, the important stuff. This has resulted in higher accuracy scores for the algorithm.
  2. A wealth of AI jobs: According to NASSCOM, India has created 170,000 tech jobs in 2018. The demand for AI, analytics, cybersecurity professionals are in high demand.
  3. AI picks up its pen: Artificial Intelligence is now able to write fiction, but researchers are desisting to open-source the code for fear of misuse. Researchers are concerned that miscreants could use the code to generate large amounts of fake news.  
  4. Elon Musk quits OpenAI: Through OpenAI, Musk used to champion the cause of building a benevolent AI that won’t wipe out our species but has now left the group citing differences with the direction. Musk has not made it clear why he is leaving the group, raising speculations that he might be leaving to spend more time at Tesla and SpaceX.
  5. No Country for Professionals: A top NASSCOM official has stated that the tech industry’s market performance is being affected due to a shortage of 230,000 skilled techies as jobs in AI and Big Data are estimated to be 780,000 by 2021.
  6. There’s an artist in everyone: AI algorithm ‘paints’ a piece of art worth $435,000, and it uses a clever algorithm to generate a period piece. But why is it worth so much?

If you’d like to receive weekly alerts on your WhatsApp, just click here and we’ll save you a spot in our WhatsApp newsletter.

Career Opportunities for Full Stack Developers in 2019

Reading Time: 2 minutes

Global internet penetration has crossed 4 billion, and the global software market is expected to reach $1 trillion in valuation by 2030. This means there will be a large swarm of people who’ll be going online in the future. To serve these people, companies will have to produce new internet products and services, which will be built and maintained by software developers. Right from website pages to apps on your mobile device, everything is a product of thousands of lines of code written by developers.

What do full stack developers do?

Usually, developers tend to specialise in either front-end or back-end development. Front-end services dictate how the end-user will interact with the product or service, and back-end refers to how the system will be built and configured. A full-stack developer, however, is capable of building and managing both front-end and back-end requirements, along with managing requirements from different stakeholders. They can look at the entire system holistically and troubleshoot any problems that might arise.

If you are in a stage where you are planning to upskill yourself to give your career an edge, you wouldn’t be amiss in choosing Full Stack Development due to the massive demand that is going to arise in the near future, which makes full stack development a lucrative and rewarding career.

What you’ll need to learn

Python, Java, Javascript, CSS, PHP, & HTML are critical skills for full stack developers.

Job Opportunities

According to a recent report by, there will be a 20% higher demand for full-stack developers in this financial year. If we were to take the long term view, the World Economic Forum states that software & application development is among the top 5 emerging skills by 2020. 

There are 17 industries including education, transportation, logistics, healthcare, recreation, travel, fitness, retail, etc. who have posted openings for front-end, back-end, and full stack developers.

Salary Opportunities

According to a report by, Full stack developers are highest paid in  Delhi (7-9 LPA) followed by Mumbai (5.5-7 LPA) & Bengaluru (5.2-7 LPA). When it comes to professionals with 7-9 years of experience, Bengaluru tops the list with annual compensation of up to 30 LPA followed by Mumbai offering up to 25 LPA and Pune at 20 LPA. Bangalore, Pune, Delhi, & Hyderabad constitute to roughly 65% of the talent pool of FSD’s. 30% of the talent pool is concentrated in Bangalore alone.

The Future is Full Stack

The major sector where Full Stack Developers are employed is ITES with compensation as high as 40 LPA, in some cases. The maximum number of job postings on LinkedIn in the first half of 2018 were for software developers, which means that the demand is picking up right now, and the saturation point is not far away. This means that now is the right time to upskill yourself in Full Stack Development and leverage your skills to launch your career.

How will India contribute to AI innovation in the world?

Reading Time: 2 minutes

India has all the right markers of being a leader in the global AI-sphere. There’s a massive engineering workforce that can be trained in AI skills. A thriving start-up and enterprise scene spread out across the country that can foster innovation. There’s also a large amount of data being generated due to increased technology use with the proliferation of smartphones leading to large swathes of the population going online.

What’s holding AI progress back right now is the lack of existing skilled professionals who can work on AI problems. 76% of companies in India feel the shortage of skilled professionals is slowing down their AI adoption. Fundamental research and progress has largely been concentrated in the US and China, but that development will quickly reach India with the internet facilitating an easy exchange of ideas and data.

What this is means is that India is in a peculiar position right now. It is brimming with the potential to play a part in shaping the technological future of the world, but the path to that is filled with many significant hurdles.

It has been evident for a long time that AI is the way of the future, and India has already woken up to this reality. There’s a burgeoning AI scene that has silently been transforming how small companies and enterprises have been running their operations. It has progressed from being a nascent trend from a few years ago and is on the brink of explosive growth. This has been a gently nudged along with comprehensive and relevant technical expertise being offered by organisations such as Great Learning, who offer programs that help candidates participate in the new job market.

Since the state of the AI job market is in a growing phase right now, it can be challenging to take a snapshot of how it’s currently faring. That why Great Learning, one of India’s leading technical education companies has partnered with Analytics India Magazine to put together The Hitchhiker’s Guide to AI 2018-19, which offers an extensive look at the AI Landscape in India.

This report is a result of extensive primary and secondary research, carried out over a period of six months. The research methodology included a systematic plan to identify the various factors influencing job scenarios around artificial intelligence in India. The data was collected through research on leading job portals in India, interactions with 100+ companies and 1000+ professionals across all major cities in India. The samples were collected by quizzing participants on employment trends in AI, salary structure from fresher to managerial level, cities that offer best opportunities for these jobs, tools and skills that companies are looking for, analytics jobs across company types, and much more.

For a free copy of the report, just click below: