KnowledgeHut upGrad, a Bangalore-based technology skilling provider and subsidiary of upGrad, has announced the launch of Data Engineering and AI Engineering Bootcamps. It has the competency and depth to provide a comprehensive package that includes all of the tools and technologies required to cover the entire Data Science spectrum. KnowledgeHut will expand its current 40 Data Science courses to more than 100 over the next two to three quarters, ensuring that learners are fully equipped with the tools they need for the future.
AI engineers are leading the charge of technology into the future, and it is currently one of the most in-demand jobs. AI engineers use principles from engineering, computer science, and machine learning to give machines problem-solving abilities. AI engineers develop advanced learning models that are applicable across industries such as manufacturing, finance, and healthcare, to name a few. AI engineers are responsible for significant inventions such as self-driving cars, AI-generated video and music recommendations, and sports prediction analysis, among others.
Similarly, the demand for Data Engineers is increasing. While data scientists use their skills to build models and solve problems, data engineers design and manage the infrastructure that connects data sources to data analytics. Data engineers build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret in a variety of settings. Their ultimate goal is to make data accessible so that organisations can use it to evaluate and optimise their performance, which places Data Engineers at the heart of an enterprise’s data team.
Learners will be paid between Rs 40-60 lakhs per year
Learners who successfully complete the course will be paid between Rs 40-60 lakhs per year, in line with the industry 2.0 vision. LinkedIn’s Emerging Jobs Report ranked data science as the fastest growing segment and has witnessed a growth of over 650% since 2012 and slated to grow to 230.80 billion dollars by 2026.
Bootcamps designed and customized for experienced professionals
Commenting on the launch, Subramanyam Reddy, CEO and Founder, KnowledgeHut upGrad said, “India’s data engineering segment is currently pegged at USD 18.2 billion and is poised to grow at a CAGR of 36.7% in the next five years to reach USD 86.9 billion by 2027. The demand for data and AI engineering focused talent has seen an enormous surge, and most companies are extensively hiring for these roles.
These courses are especially critical for learners with some amount of experience who are looking to level up in the careers. Our new engineering bootcamps have been specially designed and customized for experienced professionals to equip and empower them the right skills-sets and keep them in demand for the future roles as they evolve in the workplace”.
“Today multiple sectors including healthcare, manufacturing, agriculture, fintech and telecommunications among other, are deploying data and AI based solutions that have engineers are the core. With more promising opportunities emerging in this segment, it is crucial that we offer the necessary and relevant training with the required skill competencies and updated domain knowledge. Our courses offer a holistic learning experience including interview training to enable learners find the best possible job with the best possible pay, across the world”, added Mr Reddy.
KnowledgeHut’s programmes will be available as part of the bootcamps
KnowledgeHut’s programmes will be available as part of the bootcamps in flexible online self-paced and blended learning formats for an integrated learning experience. The Data Engineering bootcamp will be divided into two parts. Candidates will learn about cutting-edge tools and technologies such as data warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data processing, Big Data security, AWS, and others during the foundation phase. Learners will design and create databases, capture and analyse data, build APIs with CRUD functionality, prepare data models, and so on during the advanced learning phase.
The courses, like all of Knowledgehut’s bootcamps, will help learners strengthen their portfolios by preparing them to handle complex business problems in the data engineering and data science environments.
The AI Engineering course is designed with a problem-solution approach where learners will gain insights about the deployment of Python Basics, Statistics and Math, Machine Learning and Neural Networks.
Aside from the extensive course curriculum, KnowledgeHut bootcamps have the added benefit of being hosted on the PRISM platform, KnowledgeHut’s flagship learning experience platform. The user-friendly dashboard of PRISM provides learners with a 360-degree immersive learning experience that combines live interactive instructor-led sessions with microlearning modules. Learner comprehension is assessed in real time, and knowledge retention is reinforced through quizzes, assessments, assignments, and projects. PRISM’s comprehensive assessment framework, which drives Knowledgehut’s outcome focus, maps real-world job roles to the combination of skills that a learner requires to succeed. Every PRISM learning asset is mapped to this hierarchical framework, and as learners progress through the programme, their macro level progress is observed and fed into PRISM’s reporting framework, which provides realistic insights into the learner’s performance and progress.
