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Java Programming With Generative AI Training and Certification

Java Programming With Generative AI Training, Learn Java Programming With Generative AI with Online Practices, in-class Seminars, and Certifications from the list of world-class Java Programming With Generative AI trainers. Below listed Java Programming With Generative AI education partners provide Course Material, Classes Curriculum, Tutorial Videos, Interview Questions, Books, and Tricks. Get experts lectures and tailored practical lessons on Java Programming With Generative AI to improve your skills and Students will benefit with Job Placements and Visa.

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About Our Java Programming with Generative AI Training in the USA

Our Java Programming with Generative AI Training in the USA offers a cutting-edge curriculum tailored for aspiring AI professionals and Java enthusiasts. This course bridges the gap between traditional programming and emerging AI technologies, equipping learners with the skills to develop advanced AI applications. With a focus on frameworks like Java Spring Boot and the TensorFlow Java API, we empower participants to create solutions that utilize Machine Learning in Java. Our training ensures a hands-on approach to AI-driven development, providing practical exposure to AI Chatbot Development and Model Deployment on Cloud Platforms.

Why can you join this certification course?

In the rapidly evolving software development landscape, the Java Programming with Generative AI class is designed to equip developers with the skills to integrate advanced AI capabilities into their Java applications. This Generative AI for Java developers training course focuses on practical implementation, allowing participants to seamlessly incorporate tools like Google’s Vertex AI and OpenAI APIs into their projects. 

The Generative AI market is experiencing explosive growth, projected to reach $356.10 billion by 2030, with a compound annual growth rate (CAGR) of 46.47% from 2024 to 2030 (Master of Code). This rapid expansion highlights the increasing demand for skilled professionals who can harness these technologies effectively. Additionally, 92% of Fortune 500 companies have adopted Generative AI technologies, underscoring its significance across various industries. 

By participating in this Java Programming with Generative AI training course, developers will enhance their skill set and open new avenues for innovation in their software solutions. 

Who can join this course

  • Beginners who have coding experience before
  • Professionals from non-technical backgrounds
  • Who are interested in learning about Generative AI
  • Level- Intermediate

Prerequisites: 

  • No prior knowledge of Java programming required because we cover fundamentals 

Course duration

  • 12 weeks based on the mode of learning

Mode of training- Flexible

  • Online students-  flexibility of self-paced learning, video content, and text content
  • Offline students- Instructor-led training, video-based content, and text-based content
  • Weekdays, Weekends, and Customized Days as per the request

Career opportunity

 

1. AI Developer 

2. Generative AI Engineer 

3. Java AI Integration Specialist 

4. Machine Learning Engineer 

5. AI-Powered Application Developer

6. AI Solutions Architect

Key Highlights

  • Live or virtual instructor-led classes
  • Quality course material provided
  • Become a certified expert on the subject
  • Instant access to reference material
  • Get high-pay jobs offers post-training

Upcoming Instructor-Led Java Programming With Generative AI Class Date & Time as on June 07, 2025

Jun 9 2025
Jul 9 2025
Java Programming With Generative AI
Java Programming With Generative AI
Online Training,
$0.0000
IT Tutor PRO
Jun 10 2025
Jul 10 2025
Java Programming With Generative AI
Java Programming With Generative AI
Online Training,
$0.0000
IT Tutor PRO
Jun 11 2025
Jul 11 2025
Java Programming With Generative AI
Java Programming With Generative AI
Online Training,
$0.0000
IT Tutor PRO
Jun 12 2025
Jul 12 2025
Java Programming With Generative AI
Java Programming With Generative AI
Online Training,
$0.0000
IT Tutor PRO
Jun 13 2025
Jul 13 2025
Java Programming With Generative AI
Java Programming With Generative AI
Online Training,
$0.0000
IT Tutor PRO
1880,

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About Java Programming With Generative AI training

  • Overview of Our Java Programming with Generative AI Course

    This course provides a comprehensive introduction to integrating Generative AI concepts with Java programming. Our Java Programming with Generative AI Training Program is designed to enhance technical expertise by covering topics like Artificial Neural Networks (ANN), Deep Learning Algorithms, and RESTful APIs for AI Integration. Participants will explore advanced topics like Generative Adversarial Networks (GANs) and Data Preprocessing with Java, ensuring a robust understanding of AI technologies. By the end of the course, learners will master tools and techniques for developing ethical and scalable AI-driven solutions.
  • The objective of Our Java Programming with Generative AI Training Course

    The primary objective of this Java Programming with Generative AI course is to enable learners to harness the power of Java programming to build intelligent, generative AI applications. Through integrating AI Libraries in Java and practical projects, participants will gain proficiency in Natural Language Processing (NLP), Image Recognition in Java, and Sentiment Analysis using AI. The course emphasizes ethical considerations and Prompt Engineering to develop responsible and innovative AI solutions. Students will acquire the confidence to deploy AI models effectively and tackle real-world challenges. 
  • What You Will Learn in Java Programming with Generative AI Training Course

    1. Implement Natural Language Processing (NLP) and Automated Text Generation using Java. 

    2. Develop AI solutions with Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN). 

    3. Build scalable applications using Multithreading and Parallel Computing. 

    4. Integrate RESTful APIs for seamless AI application development. 

    5. Leverage Deep Learning Algorithms and Generative Adversarial Networks (GANs). 

    6. Master ethical AI practices and Data Visualization in Java. 

Java Programming With Generative AI syllabus

  • Module 1: Introduction to Java and Generative AI

    Overview of Java programming language and its evolution. 

    Basics of Generative AI and its applications. 

    Setting up the development environment (Java IDE, libraries). 

    Introduction to AI frameworks for Java (DL4J, TensorFlow Java API). 

  • Module 2: Fundamentals of Machine Learning in Java

    Overview of Machine Learning and its key concepts

    Implementing Machine Learning algorithms in Java

    Data preprocessing and feature engineering using Java

    Exploring AI libraries in Java (Weka, Mallet)

  • Module 3: Deep Learning with Java

    Introduction to Artificial Neural Networks (ANN)

    Understanding Deep Learning Algorithms

    Building and training models using DeepLearning4J (DL4J)

    Exploring Recurrent Neural Networks (RNN) and their application

  • Module 4: Generative Models in Java

    Introduction to Generative Adversarial Networks (GANs)

    Building GANs with Java for image and text generation

    Implementing Automated Text Generation

    Understanding Natural Language Processing (NLP) with Java

  • Module 5: Advanced Java Techniques for AI

    Multithreading and Parallel Computing for efficient AI processing

    RESTful APIs for AI Integration

    Model Deployment on Cloud Platforms

    Prompt Engineering and ethical AI development

  • Module 6: AI Applications with Java

    Developing AI Chatbots using Java

    Sentiment Analysis using AI in Java applications

    Image Recognition with Java-based AI tools 

    Data Visualization techniques for AI-driven insights

  • Module 7: Case Studies and Real-World Projects

    Case studies on AI applications in industries

    Building a generative AI application (project-based learning)

    Deploying an AI solution with real-world datasets

    Troubleshooting and optimizing AI models

  • Module 8: Certification and Career Guidance

    Mock assessments and project reviews

    Preparing for AI-related certifications

    Career opportunities in Java programming with Generative AI

    Networking and industry best practices

FAQ's on Java Programming With Generative AI training & certification

  • Can I use Java for generative AI?

    Yes, Java can be used for generative AI. Java’s robust libraries, such as DeepLearning4J (DL4J) and TensorFlow Java API, make it a powerful choice for implementing generative AI models, including tasks like automated text generation, image synthesis, and more. Its platform independence and scalability are ideal for large-scale AI projects. 
  • How to train an AI model in Java?

    To train an AI model in Java, you need to: 


    1. Choose a library like DL4J, Weka, or TensorFlow Java API for building and training models. 

    2. Preprocess your data using Java tools for cleaning and normalization. 

    3. Define the model architecture, such as Artificial Neural Networks (ANN). 

    4. Train the model with your dataset and evaluate its performance. 

    5. Fine-tune hyperparameters to improve accuracy. 


  • Is Java good for AI programming?

    Yes, Java is an excellent choice for AI programming. It is highly scalable, offers many libraries, and integrates seamlessly with enterprise systems. Java’s strong memory management and performance suit machine learning and AI projects, especially in production environments.
  • Can you code an AI in Java?

    Absolutely! AI can be coded in Java using libraries such as TensorFlow Java API, DL4J, and Weka. Java provides the tools to build AI applications ranging from Natural Language Processing (NLP) to image recognition and generative models.
  • Which AI tool is best for Java coding?

    Some of the best AI tools for Java coding include: 


    1. DeepLearning4J (DL4J): For deep learning and neural networks. 

    2. TensorFlow Java API: For building machine learning models. 

    3. Weka: For data mining and machine learning. 

    4. Mallet: For natural language processing. 

    5. Java-ML: A lightweight library for machine learning algorithms.

  • Is Java better than Python for AI?

    Both Java and Python have their strengths: 


    Java: Better for enterprise-level applications, scalability, and performance. 

    Python: Preferred for prototyping, ease of use, and availability of AI-specific libraries. 


    Python has more specialized libraries for generative AI, but Java excels in integrating AI into large-scale systems.

  • Will AI replace Java developers?

    AI is unlikely to replace Java developers but will augment their capabilities by automating repetitive tasks and improving productivity. Developers who upskill in AI and integrate it into their expertise will remain in high demand. 
  • What is the entry-level salary for generative AI?

    The entry-level salary for professionals in generative AI ranges from $80,000 to $120,000 per year in the USA, depending on location, skills, and the company. 

  • Which company pays AI engineers the most?

    1. Google (Alphabet): Known for its AI research and development. 

    2. OpenAI: Leading in generative AI technologies. 

    3. Microsoft: A major player in AI-driven cloud services. 

    4. Amazon: Focuses on AI in cloud computing and e-commerce. 

    5. Meta (formerly Facebook): Invests heavily in AI for social media and VR/AR. 


  • What is an entry-level job in AI after completing Java programming with Generative AI?

    After completing Java Programming with Generative AI, entry-level roles include: 


    1. AI Developer: Focused on building AI-driven applications. 

    2. Machine Learning Engineer: Works on implementing ML algorithms in Java. 

    3. Data Engineer: Prepares and manages data for AI models. 

    4. AI Integration Specialist: Integrates AI models into enterprise systems. 

    5. Junior AI Researcher: Assists in developing generative AI solutions. 


Java Programming With Generative AI Training and certification

After completing Java Programming With Generative AI certification with Sulekha's partnered course providers, you'll be ready to explore job opportunities with top IT companies in the USA or your local area. We focus on equipping you with the skills needed by leading organizations and helping you connect with career opportunities in industry giants like Meta, Deloitte, and more.


Courses related to GenAI and AI we offer

1. Generative AI for DevOps Engineers

2. Generative AI for Java Developers with Azure OpenAI ChatGPT

3. Generative AI for Java Developers with Google AI

4. Generative AI for Business Intelligence (BI and AI)

5. Generative AI for Business Analysis

6. Generative AI for Java Developers with Google AI

Java Programming With Generative AI training and placemnet

Sulekha partnered with many recognized course providers. Our Java Programming With Generative AI training and placement providers offer online and offline classes and train them to get placed in reputed and top companies. We offer a blended and balanced learning experience, which helps participants gain knowledge and skills.


Java Programming With Generative AI training offline

Face-to-face interactions can significantly enhance your education and career. That's why we offer instructor-led training sessions, providing opportunities for personal connections that can make a real difference in your learning experience.


Java Programming With Generative AI training online

Our online students benefit from the flexibility of self-paced learning. At the end of most lessons, you'll find an online discussion with instructors and peers to accelerate your learning experience.


Notice how our courses include both text and video content? This approach is designed to keep your brain engaged and active, regardless of whether you’re an online or offline learner. While online students benefit from the flexibility of self-paced learning, offline students enjoy the added advantage of instructor-led training. However, both formats provide a rich mix of text and video content to ensure an effective learning experience.


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