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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.
No worries! Catch up with recorded sessions at your convenience. Our teaching assistants are available to help with any questions you might have.
Adjust your schedule effortlessly. Pause your course if needed and rejoin the next batch when you’re ready.
Customize your learning experience. Coordinate with fellow participants to choose class timings that fit your schedule.
Resolve them easily with our experts. Choose between text or video support to get the answers you need.
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 2-D Arrays and understanding matrices
Matrix operations, logic building and problem solving on n-D 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
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"Before the program, I was stuck in a routine job. Now, I’m in a higher role at a top tech company, working on exciting projects. It transformed my career!"
"The Advanced DSA program was a game-changer. It helped me advance to a top tech firm with a significant salary increase, thanks to the skills I gained."
"Before the program, I lacked practical skills. The Advanced DSA course helped me secure a role at a top company, where I now lead projects."
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
Receive bespoke guidance tailored to your career goals and technical growth
Expert Mentorship
Engage in in-depth discussions about mastering complex DSA problems, designing scalable systems, and implementing effective DevOps practices.
Career Strategy
Get personalized advice on navigating job markets, enhancing your problem-solving abilities, and leveraging system design for competitive advantage.
Portfolio Development
Build a portfolio that showcases your expertise. With expert feedback, refine your projects and presentations to highlight your strengths and attract potential employers.
Transform theory into practice with hands-on experience:
Advanced Problem-Solving
Work on intricate DSA problems and case studies that challenge your understanding and application of algorithms and data structures.
System Design Mastery
Participate in workshops that simulate real-world system design scenarios, enhancing your ability to create robust, scalable architectures.
DevOps Integration
Engage in projects that integrate DevOps principles, including CI/CD pipelines and container orchestration, to experience modern development practices firsthand.
Hands-On Real-World Experience
Work on real-time projects with partner companies, gaining valuable industry experience and a competitive edge in the job market.
Collaborative Team Dynamics
Collaborate on live projects, gaining hands-on experience in teamwork, communication, and problem-solving, while preparing for real-world work dynamics.
Direct Mentorship and Feedback
Get guidance and feedback from industry mentors on live projects, refining your skills, solving challenges in real-time, and meeting professional standards.
Our commitment to your success is unparalleled:
Tailored Resume Crafting
Develop a resume highlighting your specialized skills in DSA, system design, and DevOps, tailored for top tech roles.
Focused Interview Prep
Participate in mock interviews and receive tailored advice to excel in technical interviews with leading tech companies.
Strategic Job Placement
Benefit from dedicated placement support to find roles that align with your expertise and career aspirations.
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 FAANG 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
Find quick answers to common inquiries about our course.
The program lasts 9 months, divided into three phases: Learn (4 months), Experience (3 months), and Specialize (2 months), ending with a practical externship.
The program is delivered online through live classes, recorded sessions, workshops, and real-world projects for flexible learning.
Yes, you should have 1.5 years of software development experience, proficiency in Java, basic knowledge of DSA, experience with version control, and an understanding of software development methodologies.
You will have access to personalized mentorship, teaching assistants, recorded sessions, lifelong course materials, 1:1 mentorship, and career support.
The program fee is competitive and flexible payment plans are available. Contact our admissions team for detailed information.
The curriculum covers essential Data Structures and Algorithms (DSA), System Design, and DevOps skills. It includes:
Phase 1: Learning DSA basics, solving complex problems, system design fundamentals, and DevOps basics.
Phase 2: Real-world projects, externships, unit testing, documentation, and debugging.
Phase 3: Specializations in advanced system design, DevOps mastery, and algorithm optimization.
The curriculum is meticulously crafted to include theoretical knowledge, practical exercises, real-world projects, and interactive workshops. Each phase builds on the previous one to ensure a deep understanding and practical application of the concepts.
You will work on real-world projects that mimic industry challenges, including coding challenges, system design problems, and DevOps tasks. These projects provide hands-on experience and help you build a strong portfolio.
Yes, you will have lifelong access to course materials, including assignments, notes, and recordings. Recordings of the sessions are available for up to six months after course completion.
Projects and assignments are evaluated by our mentors and teaching assistants. You will receive detailed feedback to help you improve and understand the areas that need more focus.
