Live Interactive Training

Explore our comprehensive training in Generative AI, Cloud Services, and Android App Development

Generative AI App Development

Master the art of developing applications using cutting-edge Generative AI technologies and frameworks.

Cloud Services

Gain expertise in AWS, GCP, and Azure to enhance your cloud computing skills and knowledge.

Learn to create robust and user-friendly Android Mobile App that meet modern mobile standards.

Android Development

Training Designed As Industry Need

• 100% Live Interactive training

• 100% Job Assistance post completion

• Capstone Projects

• NO Recorded (boring) sessions

• Expert trainer with 20 years of Industry Experience

• Get trained by IIT, ISB Professor and Alums

Generative AI Application Development

Cloud Services

What will you learn?

Duration: 8 weeks

Class Mode: Live Online

Pre-requisite: None

Fee: Rs.17,500/- 12000/-

Module 1: Introduction to Generative AI

This module introduces generative AI, tracing its evolution from early AI to modern large language models. You'll learn how these models work, including their architectures and training processes, and explore major models like ChatGPT and Hugging Face, along with their strengths and limitations. The module also compares options like open-source models, local models, and cloud APIs. By the end, you'll have a solid understanding of generative AI and how to access and use various systems.

Module 2: Transact with Models

In this module, you'll learn the basics of prompt engineering to work effectively with generative AI models. You'll practice creating prompts using examples and context, explore ways to improve prompts with personas, clear instructions, and feedback, and develop advanced skills like breaking tasks into steps and chaining prompts to handle complex scenarios.

Module 3: Build a Generative AI Application

In this module, you'll learn about generative AI applications, including API-based, embedded models, and multi-model systems. You'll explore techniques like Retrieval Augmented Generation (RAG) to enhance context. Through hands-on exercises, you'll practice testing applications locally and deploying them to the cloud.

Module 4: Capstone Project

In this module, a capstone project will be assigned to each team and a mentor will assist building a generative AI application.

Duration: 8 weeks

Class Mode: Live Online

Pre-requisite: None

Fee: Rs.12,500/- 8000/-

Module 1: Overview of Cloud Computing

In Module 1, in the first lesson, you will learn the definition of cloud computing and its five essential characteristics. In the next topic, you will learn about the history and evolution of cloud computing and the benefits of the pay-as-you-go feature of cloud computing. The third topic will describe the key considerations, benefits, and challenges of cloud computing. You will next discuss some common cloud service providers. In the second lesson, you will learn the need for cloud adoption by businesses. You will then discuss some case studies of businesses that benefitted from cloud adoption. In the third lesson, you will learn about emerging technologies like IoT, AI, Blockchain, and so on that leverage cloud’s scalability and processing power to provide value to individuals and businesses alike, supported by some case studies.

Module 2: Cloud Computing Models

In Module 2, you will learn about the different types of service and deployment models of cloud computing. The first lesson covers the three main service models available on the cloud—Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). You will learn the differences between each model, the advantages of each, and the key components of cloud infrastructure. The second lesson goes over the four main deployment models available on the cloud—public, private, hybrid, and community. You will learn what deployment models are and the differences and advantages of each model. At the end of the module, you will create an account on IBM Cloud.

Module 3: Components of Cloud Computing

In Module 3, you will learn about the various components of a cloud computing architecture, such as the virtualization of virtual machines and bare metal servers, and the difference between virtual machines and bare metal servers. You will learn the different types of virtual machines, how to build a secure cloud networking presence, how container-based technologies work, and the benefits of a Content Delivery Network. In the second lesson, we will also familiarize you with the four main types of cloud storage—Direct Attached, File, Block, and Object Storage. You will learn the differences in how they can be accessed, the capacity they offer, how much they cost, the types of data they are best suited to store, and their read-write speed.

Module 4: Cloud Security, Monitoring, Case Studies

In Module 4, you will learn about elements of cloud security, including Identity and Access Management and cloud encryption. This module will cover how organizations leverage cloud monitoring solutions to optimize business benefits. It will familiarize you with cloud adoption case studies in different industry verticals, and the various career opportunities and job roles available in the field of cloud computing today.

Module 5: Capstone Project

In this module, you will complete a final project to deploy a containerized application on the cloud using a serverless technology (no programming experience needed). You can also demonstrate your knowledge of cloud computing by completing an optional assessment based on a cloud architecture design case study.

A beginner-friendly course introducing generative AI, this program offers hands-on learning about AI technologies. Students explore fundamental skills like effective prompting and building LLM based Application. Through interactive lessons, participants will learn to use systems like GitHub Copilot, LLM, RAG, Multi-Agent creation, Symantic search, VQA and Vector Store for generating code, content, recommendation and document summarization. The course provides a comprehensive yet accessible introduction to generative AI, empowering complete novices to responsibly experiment with this rapidly evolving technology.

This comprehensive cloud computing course is designed for beginners interested in understanding cloud technologies. You'll explore cloud service models (IaaS, PaaS, SaaS), deployment types, and major providers like AWS and Google. The curriculum covers cloud architecture, emerging technologies, storage options, and cutting-edge trends including hybrid computing, serverless architecture, and DevOps. Through hands-on labs and a final project, you'll gain practical skills and insights into cloud computing careers. The course provides a solid foundation for aspiring cloud engineers, developers, and IT professionals looking to understand and leverage cloud technologies.

Predict the future by creating it

You didn’t come this far to stop

The training on Gen AI and cloud development transformed my skills and career opportunities significantly!

Jyoti Prakash Jena

★★★★★

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