Algorithms Bootcamp Day 2
This Workshop will prepare you to solve problems quickly and give you a framework to solve complex problems. We will explore analytical skills and coding skills about the top algorithms and common problems from the real world. Problem-solving skills help develop optimal algorithms. We will look at problem-solving flow charts to make the right decisions for a given problem. We are all proud of being the best coders, but have we analyzed our code for optimization? What tools can help us guide toward creating algorithms with better time and space complexity?
How you approach a problem is critical. How do you solve the problem? How do you optimize the problem?
We are all proud of being the best coders, but have we analyzed our code for optimization? What tools can help us guide toward creating algorithms with better time and space complexity?
How you approach a problem is critical. How do you solve the problem? How do you optimize the problem?
In this training, you will look at and understand the following:
Single source shortest path (SSSP)
Traveling salesman problem (TSP)
Pattern search and greedy algorithms
Knapsack problems
Arrays and Strings - Palindrome permutations
Trees and Graphs - Binary Tree, Binary Search Tree, Tries
Single-Source Shortest Paths: Bellman-Ford, BFS, DFS, Dijkstra, Dynamic Programming
And more.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1