At JKS Soft Tech, we are dedicated to fostering a culture of inclusion and collaboration, and learning is a continuous journey. We believe in growing together as a team—empowering individuals to expand their potential while working in an environment that values connectedness. Our summer internship and advanced training programs provide exceptional opportunities for students, interns, and professionals worldwide, focusing on AWS and cloud technologies.
These immersive programs are carefully crafted to equip participants with the skills and experience needed to build rewarding careers in tech. Each internship or training experience is anchored in cutting-edge technologies and a hands-on approach to real-world challenges, ensuring a robust foundation for success in the industry.
Interns will engage in dynamic, agile environments where they contribute to projects that span various industry domains. They will gain practical experience in software development and testing, learning to create quality solutions aligned with industry standards. Throughout their tenure, interns will also have the chance to enrich their technical expertise with exposure to a variety of next-generation technologies such as: Java , Tibco , MuleSoft and AWS. In addition to developing code and supporting testing cycles, participants will be involved in post-production deployment, honing their skills and gaining comprehensive, real-world exposure to cloud solutions and digital transformation practices.
At JKS Soft Tech, we are committed to ensuring that our training and internship programs provide not only technical proficiency but also the opportunity to develop critical problem-solving, communication, and project management skills that are vital in today’s rapidly evolving tech landscape.
Join us in this exciting opportunity to elevate your career and immerse yourself in the future of cloud technologies and digital innovation.
In today’s digital-first world, understanding the cloud has become an essential skill for many careers. Whether you’re just starting your cloud journey, managing IT teams, or expanding your technical expertise, cloud knowledge is key to driving innovation and growth. As a leader in cloud technology, Amazon Web Services (AWS) has updated its AWS Cloud Practitioner Essentials course to provide the most current and relevant insights.
The AWS Certified Cloud Practitioner certification gives you a solid foundation in the AWS Cloud, its core services, and key concepts. It’s ideal for beginners, career changers, or non-technical professionals who want to understand cloud basics and better support their teams. This certification also serves as a strong starting point for pursuing more advanced AWS certifications.
By the end of this course, you will be able to:
Describe the fundamental functions and benefits of the AWS Cloud.
Explain how virtual compute resources are provisioned and managed in AWS.
Understand how AWS compute services enable scalable and serverless application environments.
Identify the key components and benefits of the AWS Global Infrastructure.
Describe AWS networking components and related services.
Explain AWS storage services, storage tiers, and data lifecycle management policies.
Describe AWS database services and available migration tools.
Understand the benefits and use cases of AWS AI/ML services, generative AI services, and ETL data pipelines.
Explain how AWS security services protect networks, secure data, and detect or respond to security incidents.
Describe AWS monitoring, compliance, and governance tools.
Understand the core concepts, services, and features of AWS Pricing and AWS Support.
Describe AWS migration strategies and related services.
Identify specialized AWS services and explain the six pillars of the AWS Well-Architected Framework.
If you’re interested in joining the training, we’d love to hear from you! Contact us at info@jkssofttech.com for registration or to learn more details.
In today’s digital-first world, understanding the cloud has become an essential skill for many careers. Whether you’re just starting your cloud journey, managing IT teams, or expanding your technical expertise, cloud knowledge is key to driving innovation and growth. As a leader in cloud technology, Amazon Web Services (AWS) has updated its AWS Cloud Practitioner Essentials course to provide the most current and relevant insights.
This learning plan helps you build the knowledge and skills needed to become an AI/ML practitioner using AWS tools and services. It covers key topics such as AI/ML fundamentals, generative AI technologies, real-world use cases, and AWS services like Amazon SageMaker and Amazon Bedrock.
You’ll learn how to prepare data, train and deploy models, and monitor their performance. The plan also highlights responsible AI practices, including fairness, accountability, and transparency. With real-world examples and best practices, you’ll gain the confidence to apply AI/ML solutions effectively, optimize performance, manage costs, and scale on AWS. By the end, you’ll be ready to use AI and ML to drive innovation and make informed decisions in your organization.
By the end of this course, you will be able to:
Fundamentals of AI and ML – Learn core AI and ML concepts like supervised, unsupervised, and reinforcement learning, neural networks, NLP, and the ML development lifecycle.
Fundamentals of Generative AI– Understand key generative AI terms such as tokens, embeddings, prompt engineering, and the lifecycle of foundation models.
Applications of Foundation Models – Explore how to design, customize, and optimize generative AI applications on AWS using foundation models. Topics include prompt engineering (zero-shot, few-shot), RAG, and model evaluation.
Responsible AI – Learn about fairness, bias mitigation, transparency, and the ethical and legal aspects of AI.
Security, Compliance, and Governance – Discover how to secure AI systems and manage data governance and compliance using AWS tools.
Amazon Bedrock – Build and scale generative AI applications.
Amazon Q – Use an AI assistant designed for business productivity.
Amazon SageMaker – Build, train, and deploy machine learning models.
Amazon Comprehend, Rekognition, Transcribe, and Polly – Use pre-trained AI services for text analysis, image/video recognition, speech-to-text, and text-to-speech.
If you’re interested in joining the training, we’d love to hear from you! Contact us at info@jkssofttech.com for registration or to learn more details.