About this Masterclass
Multithreading can help us increase productivity and efficiency by allowing us to work on multiple tasks at once. It can also help us save time by completing multiple tasks simultaneously.
Multithreading and concurrency are programming techniques that can help improve the performance, responsiveness, and resource utilization of computer programs. By allowing multiple tasks to run concurrently, programs can execute tasks faster and make better use of available resources.
However, these techniques can also introduce new challenges, such as synchronization and resource sharing issues, which require careful design and implementation to ensure correctness and performance. To gain a more in-depth understanding of this topic join Scaler’s FREE Masterclass by Naman Bhalla. Register now
Meet Naman Bhalla (LinkedIn)
Senior Product Manager & Lead Instructor, Scaler
Ex-Software Developer at Google
Secured Global Rank 135 in Google Kickstart Round D
ACM ICPC 2019-20 Kanpur Regionals Rank 37
What you will gain from this Masterclass
Learn the fundamentals of a concurrent and multithreaded program.
Learn different ways to create a multithreaded program in Java.
Learn different Locking techniques
How to ensure synchronization in a multithreaded program?
Implement algorithms like Merge Sort in a multithreaded way.
Certificates - All attendees get certificates from Anshuman Singh and Scaler Academy! Please be careful while entering your details while registering since they will go on your Certificates
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What our Learners have to say
About Scaler Academy
Many engineers (like us!) enter software engineering almost by mistake, are exposed to ‘old’ teaching methods, and are taught to ‘cram’ content. This creates gaps in an engineer’s Computer Science learning, makes them confident, and prevents them from accelerating in their career.
Scaler Academy is tailor-made for engineers to master the foundations of CS Computer Science (Data Structure Algorithms & System Design) and to take their career to the next level, via: