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At Careerpedia, we offer a comprehensive program designed to transform you into a top-tier tech professional. Our course covers the essential skills needed to excel in the tech industry, focusing on problem-solving, system design, and DevOps. To Crack your dream roles.
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You will master data structures and algorithms in Java to solve complex coding challenges efficiently.
Gain expertise in designing scalable, robust systems for high-performing tech environments.
Master DevOps principles with hands-on experience in Jenkin, Contentrization, and CI/CD pipelines.
Curriculum designed to equip you with the skills and knowledge to turn your tech career dreams into reality
Why Programming, simple use case where programming is required, How to Write simple pseudo code, Difference in different programming languages, Intro to Java and Development setup
Taking Input and printing, Types of exception and handling them. More on Java language fundamentals. JDK, JRE
Java Basics, writing code in Java, If statements Loops. Flow of basic code and best coding practices
How functions work and how to make customer functions and work with them Significance, defining, function return type, passing arguments
Abstraction, Encapsulation, Inheritance, Polymorphism, Interfaces, Modifiers, Classes and Objects
Defining & Initialising, Iterations, Looping on Arrays
Array operations, logic building and problem solving on Arrays
Defining & Initialising, Iterations, Looping on 2D Arrays and understanding matrices
Matrix operations, logic building and problem solving on nD arrays and matrices
Significance, defining, function return type, passing arguments
Understanding recursion, implementing through "Divide and Conquer"
Understanding space and time complexities. Best, average and worst case complexities
Linear Search, Binary Search, Ternary Search
Initialisation, condition, movement, efficiency and application
Representation, Operations and Techniques
Sorting, Bubble sort, Insertion Sort
Sortings, Divide and Conquer, Merge Sort, Quick Sort
Sortings, Divide and Conquer, Comparator Sort
String basics, string manipulation and string operations
Pattern matching, Z Algorithm, KMP
KMP, String Hashing, Aho corasick
Hashmap, Hashset and Iterators
Wrapper classes, Exceptions, RegEx
Threads - Creating threads, running threads and concurrency problems
Single Linked List (Insertion at positions in Linked List, iteration in Linked List, Deletion at position in Linked List, Linked List loops),
Double Linked List (Double Linked list creation (prev pointer), iteration in Double Linked List, insertion at positions in Linked List, Deletion in Double Linked List)
Circular Linked list (Circular Linked list creation, iteration in Circular Linked List, insertion at positions in Circular Linked List, Deletion in Circular Linked List
Intro, Application and Implementation using Array
Implementation using Linked list, Stack as library
Implementation using Array, implementation using Linked list, Queue as a library
Implementation using Array, implementation using Linked list, Queue as a library
Modular Arithmetic, Modular Exponentiation, GCD, Modular Multiplicative Inverse
GCD, Primality Testing, Sieve of Eratosthenes
Greedy algorithm
Problem discussion and logic building
Principle and memorization
Tablulation and Efficiency
Applications
Tree Traversals
Tree - Construction of tree from traversals, height of tree, mirror of tree
Tree - LCA, Diameter
Binary search trees
Heaps - Structure, property, operations, Efficiency and Applications
Graph - 1 (BFS, DFS)
Graph - 2 (Cycles in Graph)
Graph - 3 (DFS, BFS on matrix)
Graph - 4 (Dijkstra Algorithm, Flood Fill Algorithm)
Graph - 5 (Minimum Spanning Tree, Floyd War shall, Topological Sorting)
What is System Design, Importance, Overview
Functional Requirements, Non-Functional Requirements, Use Cases
System Components, Architecture Diagram, Data Flow
HLD product case studies
HLD implementation and architecture designing
Detailed Design, Component Interaction, Data Models
LLD product case studies
LLD implementation and architecture designing
What are Design Patterns, Types, Importance
Singleton, Factory, Abstract Factory
Adapter, Bridge, Composite
Strategy, Observer, Chain of Responsibility
SOLID, DRY, KISS, YAGNI
Horizontal vs Vertical Scaling, Load Balancing
Normalization, ER Diagrams, SQL vs NoSQL
RESTful APIs, GraphQL, gRPC
Cache Invalidation, Cache Types, Examples
Sharding, Partitioning Strategies, Examples
CAP Theorem, Consistency Models, Availability Zones
Microservices vs Monolith, Design, Communication
Event Producers, Consumers, Event Sourcing
Authentication, Authorization, Encryption
Metrics, Logs, Tools
CI/CD, Blue-Green Deployment, Canary Releases
Redundancy, Failover, Disaster Recovery
Performance Metrics, Bottleneck Analysis, Optimization
What is DevOps, History, Benefits
Git, SVN, Branching, Merging
CI Concepts, Tools, Best Practices
CD Pipeline, Automation, Tools
IaC Concepts, Tools, Examples
Basics like SELECT, FROM, WHERE, and advanced querying with subqueries and CTEs.
Different joins and window functions like RANK and ROW_NUMBER
Strategy, Observer, Chain of Responsibility
Optimizing queries for performance and efficiently chain multiple queries using CTEs and subqueries.
Puppet, Chef, Ansible, SaltStack
Docker, Container Orchestration, Kubernetes
Docker deployment and hosting
Prometheus, ELK Stack, Tools and Techniques
DevSecOps, Security Best Practices, Tools
AWS, Azure, Google Cloud, Comparison
Jenkins, GitLab, CircleCI, Overview
Collaboration, Communication, DevOps Culture
In the competitive tech industry, Data Structures and Algorithms (DSA) form the backbone of efficient problem-solving and software development. Here’s why mastering DSA is crucial
Proficiency in DSA enables engineers to devise efficient solutions that enhance application performance and scalability.
A solid understanding of DSA is essential for tackling complex coding challenges and contributing to the development of robust software systems.
Major tech companies, including top product-based firms, focus heavily on DSA in their interview processes to assess problem-solving capabilities.
Problem-solving skills are vital for any tech professional aiming to innovate and address real-world challenges. Here’s how strong problem-solving skills benefit your career.
DevOps practices bridge the gap between development and operations, enabling seamless integration and deployment for faster, more efficient software delivery.
Dive into advanced topics and emerging trends with insights from top professionals in the tech industry. Our program includes:
Cutting-Edge Knowledge
Applied Learning
Strategic Networking
Don't know Where To Start?
Want to shift to a product-based company?
Not able to solve DSA Problems?
Not able to clear Tech Rounds?
Want to switch to a high-paying career?
This course is great for Java developers with 1.5 years of experience. If you want to improve your skills in Data Structures and Algorithms (DSA), System Design, and DevOps, this course will help you stand out in the job market. Boost your career with practical, in-demand knowledge.
If you have a solid foundation in Java and are looking to enhance your skills in areas such as Data Structures and Algorithms (DSA), System Design, and DevOps, this course will help you elevate your expertise and stand out in the competitive job market.
Whether you aim for a promotion, a transition into a more advanced technical role, or a new job opportunity, our program will equip you with the advanced skills and knowledge needed to take the next step in your career.
If you enjoy solving complex problems and want to excel in technical interviews, our focus on DSA and system design will prepare you to tackle challenging scenarios and think critically about software architecture and performance.
For those interested in gaining a comprehensive understanding of DevOps practices and tools, our course provides practical insights and hands-on experience in integrating development and operations for continuous delivery and deployment.
Mastering data structures and algorithms for MAANG success.
Working on projects that simulate industry scenarios.
Gaining the ability to design scalable and efficient systems.
Four months of live projects make you job-ready.
Understanding and implementing DevOps practices.
Career Advancement placement assistance.
Our 1-year program is meticulously crafted to equip you with essential skills in DSA , system design, and DevOps, culminating in a practical externship. Here’s a detailed phase breakdown of the curriculum
Start by building a strong foundation in essential software development skills. This phase is designed to make you a competitive programmer and a skilled problem solver.
Data Structures and Algorithms: Master DSA basics, solve complex problems, and learn efficient coding practices.
System Design: Understand how to design scalable systems with real-world examples.
DevOps Fundamentals: Learn CI/CD, automation, and infrastructure as code.
Gain Real-World Experience
Immerse yourself in live projects and externships at top tech companies. Apply your knowledge in real-world scenarios and gain valuable industry experience.
Learn Company’s Tech Stack
Unit Testing
Documentation
Navigating Large Codebases
Debugging Tools
Practical Application of Learned Skills
Experience with Real-World Projects
Enhanced Problem-Solving and Debugging Abilities
Apply Your Knowledge
Work on implementing the concepts learned in real-time projects. This phase bridges the gap between learning and real-world application.
Hands-on Projects
Concept Implementation
Practical Application of Theoretical Knowledge
Project Development
Real-World Problem Solving
Application of Learned Concepts
