Java Fundamentals
From Basics to Advanced in Just 3 Months
What will you learn
This module introduces you to Java programming fundamentals and the core concepts of Object-Oriented Programming (OOP). You will learn about JVM architecture, memory management, Java syntax, variables, loops, and conditional statements. By the end of this module, you will be able to write basic Java programs and understand how Java executes code
This module introduces you to Java classes, methods, and object relationships. You will explore inheritance, polymorphism, encapsulation, and abstraction to structure your code effectively. Additionally, you will learn about Java packages, static components, and access modifiers, ensuring you can write well-organized and modular programs.
This module introduces you to interfaces, inner classes, and Java’s string manipulation techniques. You will learn the differences between abstract classes and interfaces, work with StringBuffer, StringBuilder, and wrapper classes, and explore autoboxing and unboxing. By the end of this module, you will be able to write optimized and efficient Java programs.
This module introduces you to error handling in Java using exception handling mechanisms such as try-catch, throw, and finally. You will also explore custom exceptions, Java annotations, and the Reflection API, enabling you to write robust and error-free applications.
This module introduces you to software testing principles using JUnit. You will learn how to write and execute unit test cases, use JUnit assertions and annotations, and validate Java applications. By the end of this module, you will be able to test your Java programs effectively, ensuring code reliability.
This module introduces you to Java’s Collections Framework, covering Lists, Sets, Maps, and Queues. You will learn how to store, manipulate, and retrieve data efficiently using Java Generics, sorting techniques, and iterators. This module will help you optimize data handling and improve application performance.
This module introduces you to Java multithreading and concurrency, where you will learn about thread creation, execution, lifecycle, and states. You will explore synchronization techniques and the Executor framework, enabling you to develop high-performance, parallel-processing applications.
This module introduces you to database connectivity in Java using JDBC. You will learn how to perform CRUD operations, manage transactions, and optimize database performance. By the end of this module, you will be able to build database-driven applications using MySQL or PostgreSQL.
Career Outcomes
3D Advertising
AR and VR Experiences
AR and VR Experiences
What makes this course stand out?
Who should join this course?
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Frequently asked
questions
- Who is this course for?
This course is designed for students, fresh graduates, software developers, working professionals, and AI enthusiasts who want to build expertise in Generative AI, AI-powered web applications, and FastAPI. Whether you're looking to transition into AI engineering, backend AI development, or full-stack AI roles, this course provides the necessary skills to thrive in the industry.
- Do I need prior programming knowledge?
No prior experience in AI is required, but basic Python knowledge is recommended. The course starts with fundamentals and gradually moves to advanced AI model integration, cloud deployment, and production-level AI applications, making it suitable for beginners and professionals alike.
- What will I learn in this course?
This course covers Python, FastAPI, and AI Model Integration, including Prompt Engineering, LLM Fine-Tuning, Retrieval-Augmented Generation (RAG) Systems, and Multi-Agent AI Workflows. You'll also gain expertise in AI security, CI/CD pipelines, cloud deployment on AWS/GCP, and scaling AI applications for production.
- Is there any support if I have doubts?
Yes! This course provides live instructor support, mentorship, and a dedicated AI-powered assistant (Fynix AI) for real-time doubt resolution. You will have access to discussion forums, Q&A sessions, and career guidance throughout the program.
- Will I get hands-on experience?
Absolutely! The course follows a hands-on learning approach, including 6 mini-projects and 2 capstone projects, AI coding challenges, and real-world AI deployments. You'll work on building AI-powered applications, deploying them to cloud platforms, and integrating them into real-world workflows.
- Will I receive a certificate upon completion?
Yes! Upon successful completion, you will receive an industry-recognized certificate validating your expertise in Generative AI, AI Engineering, and Full-Stack AI Development. This certification can be showcased on LinkedIn, resumes, and job applications, helping you stand out in the AI job market.
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