$1,199

Programming & Software Engineering

Course
210 Lessons

A sequenced learning journey across nine programs, from developer tooling and computer-science foundations through the core languages to full-stack web, enterprise architecture, and a blockchain specialization. Follow it in order to build cumulatively, or enter wherever your goals fit. 📞 WhatsApp: +91 95601 16736 for discount

Buy now Add to cart

Program Brochure and Previews

programming-software-engineering-pathway-brochure.pdf

Preview

01 Programming & Developer Tooling Foundations

The bedrock every developer needs before any language: the command line, Git and version control, editors and environments, debugging, and how programs are built and run.

Module 01 - Programming & Developer Tooling Foundations.mp4

Preview

Module 01 - Programming & Developer Tooling Foundations.chapters.txt

01_programming-developer-tooling-foundations_DurgaAnalytics.pdf

1. How a computer runs a program.m4a

Preview

2. The shell, files, and the filesystem.m4a

3. Navigating and manipulating files from the CLI.m4a

4. Environment variables and the PATH.m4a

5. Package managers and installing tools.m4a

6. Why version control exists.m4a

7. Commits, branches, and the working tree.m4a

8. Merging, rebasing, and resolving conflicts.m4a

9. Remotes, pull requests, and collaboration.m4a

10. A sane Git workflow for teams.m4a

11. Choosing and configuring an editor or IDE.m4a

12. Project structure and reproducible environments.m4a

13. How source becomes a running program.m4a

14. Dependencies and lockfiles.m4a

15. Formatting, linting, and editor tooling.m4a

16. Reading errors and stack traces.m4a

17. Using a debugger and breakpoints.m4a

18. Print, log, and inspect effectively.m4a

19. Reading documentation and asking good questions.m4a

20. A first well-structured project.m4a

02 Data Structures & Algorithms

The computer-science core every strong engineer shares: the essential data structures, the algorithms that operate on them, complexity analysis, and the problem-solving patterns that interviews and real systems demand.

Module 02 - Data Structures & Algorithms.chapters.txt

Module 02 - Data Structures & Algorithms.mp4

02_data-structures-algorithms_DurgaAnalytics.pdf

21. Big-O and analyzing complexity.m4a

22. Arrays and dynamic arrays.m4a

23. Linked lists.m4a

24. Stacks and queues.m4a

25. Hash tables and how they work.m4a

26. Trees and binary search trees.m4a

Preview

27. Balanced trees and their trade-offs.m4a

28. Heaps and priority queues.m4a

29. Graphs and their representations.m4a

30. Traversals_ BFS and DFS.m4a

31. Sorting algorithms and their trade-offs.m4a

32. Searching and binary search.m4a

33. Recursion and divide and conquer.m4a

34. Greedy algorithms.m4a

35. Dynamic programming.m4a

36. Two pointers and sliding window.m4a

37. Graph algorithms_ shortest paths.m4a

38. Backtracking.m4a

39. Pattern recognition for interviews.m4a

40. The problem-solving capstone.m4a

03 Python - End-to-End Mastery

Learn Python from first principles to production: fundamentals, web development, APIs, data engineering, automation, testing, cloud deployment, and an introduction to AI integration.

Module 03 - Python - End-to-End Mastery.chapters.txt

Module 03 - Python - End-to-End Mastery.mp4

03_python-end-to-end-mastery_DurgaAnalytics.pdf

41. Syntax, data structures, and functions.m4a

42. Comprehensions and idiomatic Python.m4a

43. OOP, modules, and packaging.m4a

44. Virtual environments and dependencies.m4a

45. Type hints, logging, and exception handling.m4a

46. Iterators, generators, and decorators.m4a

47. Context managers and resource handling.m4a

48. Async and concurrency.m4a

49. Testing with pytest.m4a

50. Best practices and project structure.m4a

51. Web APIs with FastAPI.m4a

Preview

52. Django for larger applications.m4a

53. REST and GraphQL, with authentication.m4a

54. Data with Pandas and SQLAlchemy.m4a

55. ETL and streaming with Kafka and Snowflake.m4a

56. Automation and scripting.m4a

57. CI_CD and Docker.m4a

58. Cloud deployment.m4a

59. An introduction to AI integration.m4a

60. The end-to-end Python capstone.m4a

04 Java Programming Language - Beginner to Advanced

Comprehensive Java training covering the core language, modern Java features, JVM internals, concurrency, the Spring ecosystem, microservices, and cloud-native deployment.

Module 04 - Java Programming Language - Beginner to Advanced.chapters.txt

Module 04 - Java Programming Language - Beginner to Advanced.mp4

04_java-programming_DurgaAnalytics.pdf

61. Java SE fundamentals and OOP.m4a

62. Collections and generics.m4a

63. Streams and functional Java.m4a

64. Modules and modern features.m4a

65. Records, sealed types, and pattern matching.m4a

66. JVM internals and the memory model.m4a

67. Garbage collection and GC tuning.m4a

68. The JIT compiler and classloading.m4a

69. Profiling and flame graphs.m4a

70. A JVM profiling and GC tuning report.m4a

71. Threads and the concurrency model.m4a

72. Executors and concurrent collections.m4a

73. Reactive programming with Project Reactor.m4a

74. Distributed-systems patterns.m4a

75. Testing concurrent code.m4a

76. Spring Boot fundamentals.m4a

77. Spring Security and JWT authentication.m4a

78. Spring Cloud and microservices patterns.m4a

79. A Spring Boot microservice signature lab.m4a

80. Docker, GitHub Actions, and cloud deploy.m4a

05 - C & C++ - Beginner to Advanced

Master native programming with a practical, project-driven path covering C fundamentals, modern C++ (11 to 20), systems programming, concurrency, and performance tuning.

Module 05 - C & C++ - Beginner to Advanced.chapters.txt

Module 05 - C & C++ - Beginner to Advanced.mp4

05_c-cpp-systems-programming_DurgaAnalytics.pdf

81. History, ecosystem, and compilers.m4a

82. Memory, pointers, and arrays.m4a

83. Strings, structs, and the type system.m4a

84. Build systems_ Makefiles and CMake.m4a

85. Linking and ABI considerations.m4a

86. RAII and resource management.m4a

87. Smart pointers and ownership.m4a

88. The STL_ containers and algorithms.m4a

89. Templates and generic programming.m4a

90. Concepts and modern C++ (11 to 20).m4a

91. Processes and threads.m4a

92. Sockets and network programming.m4a

93. epoll and event-driven I_O.m4a

94. The filesystem and system calls.m4a

95. Sanitizers, Valgrind, and undefined behavior.m4a

96. Concurrency and the C++ memory model.m4a

100. The performance-tuning capstone.m4a

98. Cache-awareness and data layout.m4a

97. Profiling and benchmarking.m4a

99. SIMD and vectorization.m4a

06 JavaScript & TypeScript

The language of the web, done properly: modern JavaScript from the ground up, the type safety of TypeScript, asynchronous programming, and the tooling that underpins every frontend and Node backend.

06_javascript-typescript_DurgaAnalytics.pdf

Module 06 - JavaScript & TypeScript.chapters.txt

Module 06 - JavaScript & TypeScript.mp4

101. Values, types, and the language model.m4a

102. Functions, closures, and scope.m4a

103. Objects, prototypes, and classes.m4a

104. Arrays and iteration.m4a

105. Modules and the modern toolchain.m4a

106. The event loop.m4a

107. Callbacks, promises, and async_await.m4a

108. Fetch and working with APIs.m4a

109. Error handling in async code.m4a

110. Concurrency patterns in JavaScript.m4a

111. Why types, and the TypeScript model.m4a

112. Basic and advanced types.m4a

113. Generics.m4a

114. Type narrowing and guards.m4a

115. Configuring and adopting TypeScript.m4a

116. Package managers and bundlers.m4a

117. Linting, formatting, and config.m4a

118. Testing JavaScript and TypeScript.m4a

119. Node.js fundamentals.m4a

120. A typed application capstone.m4a

07 Full Stack Development - End-to-End Web App Engineering

Build production-ready web applications with a Python-first backend (FastAPI and Django) and modern React and Next.js frontends, deploy to the cloud, automate CI/CD, and integrate AI.

07_full-stack-development-end-to-end-web-app-engineering_DurgaAnalytics.pdf

Module 07 - Full Stack Development - End-to-End Web App Engineering.chapters.txt

Module 07 - Full Stack Development - End-to-End Web App Engineering.mp4

121. HTML, CSS, and JavaScript to TypeScript.m4a

122. React fundamentals, hooks, and state.m4a

123. Next.js_ SSR, SSG, and API routes.m4a

124. Edge functions and rendering strategies.m4a

125. Tailwind, component libraries, and accessibility.m4a

126. FastAPI as the primary backend.m4a

127. Django for larger applications.m4a

128. PostgreSQL and data modeling.m4a

129. Authentication and authorization.m4a

130. API design and integration.m4a

131. Docker and containerization.m4a

132. CI_CD with GitHub Actions.m4a

133. Cloud deployment on AWS and Azure.m4a

134. Environment and secrets management.m4a

135. Monitoring and reliability basics.m4a

136. Integrating LangChain and model APIs.m4a

137. Building model microservices.m4a

138. Putting the full stack together.m4a

139. The production web-app capstone.m4a

140. Shipping and demonstrating the app.m4a

08 Application Engineering - Design, Build & Scale Modern Enterprise Apps

Master the full lifecycle of enterprise application engineering: architecture, microservices, secure APIs, cloud deployment, CI/CD, observability, and AI integration, with industry labs.

08_application-engineering-design-build-scale-modern-enterprise_DurgaAnalytics.pdf

Module 08 - Application Engineering - Design, Build & Scale Modern Enterprise Apps.chapters.txt

Module 08 - Application Engineering - Design, Build & Scale Modern Enterprise Apps.mp4

141. Domain-Driven Design and bounded contexts.m4a

142. Microservices versus modular monolith.m4a

143. Event-driven architectures and CQRS.m4a

144. API-first design and contract testing.m4a

145. Versioning and evolving systems.m4a

146. Implementing services with FastAPI and Node.m4a

147. Kubernetes and orchestration.m4a

148. Resilience, retries, and circuit breakers.m4a

149. Data consistency across services.m4a

150. Messaging and streaming.m4a

151. Secure cloud deployment.m4a

152. Observability_ logs, metrics, and traces.m4a

153. Cost optimization.m4a

154. Performance and scaling.m4a

155. Incident response and reliability.m4a

156. Integrating AI into enterprise apps.m4a

157. Finance lab_ loan origination.m4a

158. Energy lab_ asset management.m4a

159. Putting the architecture together.m4a

160. The enterprise application capstone.m4a

09 Blockchain & DLT Mastery

Master blockchain and distributed ledger technology for enterprise use cases, finance, payments, asset tokenization, and supply chain, with hands-on smart-contract labs on Ethereum and Hyperledger.

09_blockchain-dlt-mastery_DurgaAnalytics.pdf

Module 09 - Blockchain & DLT Mastery.chapters.txt

Module 09 - Blockchain & DLT Mastery.mp4

161. What a blockchain is and why it matters.m4a

162. Cryptographic primitives.m4a

163. Consensus mechanisms.m4a

164. Public, private, and permissioned ledgers.m4a

165. The distributed-ledger landscape.m4a

166. Smart contracts and the EVM.m4a

167. Writing contracts with Solidity.m4a

168. Hands-on smart-contract labs.m4a

169. Testing and securing contracts.m4a

170. Common vulnerabilities and audits.m4a

171. Ethereum for enterprise.m4a

172. Hyperledger and permissioned networks.m4a

173. Blockchain integration with finance systems.m4a

174. Asset tokenization.m4a

175. Supply-chain and payments use cases.m4a

176. DApp architecture.m4a

177. Connecting front ends to contracts.m4a

178. Off-chain data and oracles.m4a

179. Deploying and operating a DApp.m4a

180. The blockchain DApp capstone.m4a

Capstone Project and Labs

01_programming-developer-tooling-foundations

02_data-structures-algorithms

03_python-end-to-end-mastery

04_java-programming

05_c-cpp-systems-programming

06_javascript-typescript

07_full-stack-development-end-to-end-web-app-engineering

08_application-engineering-design-build-scale-modern-enterprise

09_blockchain-dlt-mastery

Capstone Project.zip

00_README-Capstone-and-Labs-Guide.pdf