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With
Certification & 100% Placement Assistance
Online Course | Real-Time Projects | 4-6 Months |
Master cloud computing and artificial intelligence with our AWS with Generative AI Training with Certification and 100% Placement Assistance. Learn AWS Cloud Fundamentals, EC2, S3, IAM, VPC, RDS, Lambda, DevOps Essentials, Amazon Bedrock, AI/ML Services, Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and real-world Generative AI project development. At Innoture Digital Edge, our industry-focused training, expert mentors, and hands-on learning approach help students gain job-ready cloud and AI skills to build a successful career in the rapidly growing field of AWS and Generative AI.
| Next Batch Date | Mar 20, 2026 - 10:00 AM |
| Training Modes: | Online Training (Instructor-Led) |
| Course Duration: | 2-3 Months |
| Call us at: | +91 7996682999 |
| Email Us at: | trainings@innoture.co.in |
Industry-Oriented AWS & Generative AI Curriculum
Our course is designed based on current cloud and AI industry requirements. Students learn AWS services, cloud architecture, Amazon Bedrock, Prompt Engineering, Large Language Models (LLMs), RAG, and AI application development.
Real-Time Projects and Practical Training
Students work on real-world AWS cloud and Generative AI projects that simulate actual business environments. This hands-on approach helps learners gain practical experience and confidence.
Expert Trainers with Industry Experience
Our trainers bring extensive cloud computing and AI industry expertise. They provide step-by-step guidance to help students master AWS services and Generative AI concepts.
100% Placement Support
We offer dedicated placement assistance including resume preparation, mock interviews, career mentoring, and job referrals to help students secure cloud and AI roles.
Job-Ready Cloud & AI Skills
The training focuses on practical skills required by employers. Students learn how to deploy cloud solutions, build AI-powered applications, and manage scalable infrastructure.
Flexible Learning Options
We provide online and classroom training options, making it convenient for students, graduates, and working professionals to learn at their own pace.
Certification After Course Completion
Students receive an industry-recognized course completion certificate from Innoture Digital Edge that enhances their resume and career opportunities.
Beginner-Friendly Training
No prior cloud or AI experience is required. The course starts with AWS fundamentals and gradually progresses to advanced cloud and Generative AI concepts.
Career Guidance and Mentorship
Our mentors help students identify suitable career paths in cloud computing and artificial intelligence while preparing them for technical interviews and job opportunities.
High Demand for AWS & Generative AI Professionals
Organizations worldwide are rapidly adopting cloud technologies and AI solutions. Skilled AWS and Generative AI professionals are among the most sought-after talent in today's technology industry.
Industry Expert Trainers with Cloud & AI Experience
Live Online Instructor-Led Training
120+ Hours of Practical Training
Hands-on Real-Time AWS & Generative AI Projects
Learn AWS Cloud, EC2, S3, IAM, VPC, RDS, Lambda, and Cloud Architecture
Master Amazon Bedrock, Prompt Engineering, and Large Language Models (LLMs)
Build AI-Powered Applications with Generative AI
Learn Retrieval-Augmented Generation (RAG) and Vector Databases
Git and GitHub Version Control Training
Resume Building and LinkedIn Profile Optimization
Technical Mock Interviews and Cloud Scenario Practice
Career Guidance and Interview Preparation
Placement Assistance for Eligible Students
Lifetime Access to Class Recordings
Beginner-Friendly Training with Step-by-Step Learning
4-Month Structured AWS & Generative AI Program
Understand cloud computing concepts, service models (IaaS, PaaS, SaaS), deployment models, and the benefits of cloud technology. Learn how AWS delivers scalable and reliable cloud services.
Explore AWS Regions, Availability Zones, Edge Locations, and the AWS Shared Responsibility Model. Learn how AWS ensures high availability and security worldwide.
Learn Amazon EC2, instance types, auto scaling, load balancing, and compute optimization. Gain hands-on experience deploying applications in the cloud.
Master Amazon S3, storage classes, lifecycle policies, versioning, backups, and secure object storage for cloud-based applications.
Learn VPC, subnets, route tables, internet gateways, NAT gateways, security groups, and Route 53. Build secure and scalable cloud networks.
Understand IAM users, groups, roles, policies, MFA, encryption, AWS KMS, and security best practices to protect cloud resources.
Work with Amazon RDS, DynamoDB, database backups, replication, and NoSQL concepts to manage structured and unstructured data efficiently.
Use CloudWatch, CloudTrail, AWS Config, and Systems Manager to monitor resources, automate operations, and maintain cloud environments.
Learn CloudFormation, CodeCommit, CodeBuild, CodeDeploy, and CodePipeline to automate infrastructure provisioning and CI/CD workflows.
Explore Docker, Amazon ECS, EKS, Fargate, AWS Lambda, and API Gateway to build modern scalable applications without managing servers.
Understand Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models (LLMs), and the foundations of Generative AI.
Learn Amazon Bedrock, Titan Models, Claude Models, model selection, knowledge bases, guardrails, and enterprise AI application development.
Master prompt design techniques including zero-shot, few-shot, and chain-of-thought prompting to generate accurate and effective AI responses.
Build real-world AI solutions using Bedrock APIs, RAG architectures, vector databases, and AI-powered automation workflows.
Develop AI chatbots, document summarization systems, knowledge assistants, and cloud-native AI applications. Deploy projects on AWS and prepare for industry roles.
An AWS with Generative AI Professional is someone who can build, deploy, manage, and optimize cloud-based applications while integrating Artificial Intelligence capabilities. They have the skills to work with AWS cloud services, automate infrastructure, and create intelligent applications using Generative AI models.
AWS professionals work with services such as Amazon EC2, Amazon S3, VPC, IAM, RDS, Lambda, and Route 53 to build secure, scalable, and highly available cloud solutions for businesses.
Generative AI enables applications to create content, answer questions, summarize information, and automate tasks. AWS services such as Amazon Bedrock help developers integrate foundation models into real-world applications.
Cloud professionals manage security, access control, monitoring, backups, and performance optimization using AWS services like IAM, CloudWatch, CloudTrail, and AWS Config.
They use tools like CloudFormation, CodePipeline, Docker, Kubernetes, and CI/CD processes to automate deployments and efficiently manage cloud infrastructure.
| Feature | AWS Cloud | Azure Cloud |
|---|---|---|
| Cloud Provider | Amazon Web Services | Microsoft Azure |
| Popular Services | EC2, S3, Lambda | Virtual Machines, Blob Storage, Functions |
| Learning Curve | Moderate | Moderate |
| Performance | Highly Scalable | Enterprise Optimized |
| Deployment Speed | Fast & Flexible | Integrated with Microsoft Ecosystem |
| Industry Usage | Startups, Enterprises, Cloud-Native Apps | Corporates, Enterprises, Microsoft Environments |
| Job Demand | Very High | Rapidly Growing |
Resume Building
Placement Training
Interview Questions
Internships Under Experts
Realtime Live Projects
Get Offer Letter
Scheduling Interviews
Mock Interviews
Personality Development
Aptitude Preparation
Get a premium, ATS-friendly resume designed by industry experts that highlights your AWS Cloud, Generative AI, certifications, and real-time project experience.
Comprehensive job-oriented training focused on current cloud computing, AWS services, Generative AI concepts, and company-specific preparation strategies.
Extensive collection of AWS Cloud, DevOps, and Generative AI interview questions with detailed answers, real-time scenarios, and problem-solving guidance.
Work on industry-based AWS Cloud and AI projects to gain practical exposure and hands-on experience that strengthens your professional portfolio.
Improve communication skills, confidence, presentation skills, body language, and professional etiquette to succeed in cloud and AI career interviews.
Attend multiple mock interviews conducted by experienced AWS professionals with detailed feedback and performance improvement guidance.
Dedicated team assistance for scheduling interviews with hiring companies and coordinating follow-ups.
Complete support until you receive your offer letter, including salary negotiation guidance and onboarding preparation.
Engineering students who want to gain real-world cloud computing and AI skills can benefit greatly from this course. It helps bridge the gap between academic learning and industry requirements.
Students from B.Sc, BCA, B.Com, or other degree backgrounds who are interested in cloud and AI careers can learn AWS and Generative AI from the basics.
Graduates looking to start their careers in the cloud industry can build job-ready skills through practical training and real-time projects.
Individuals searching for opportunities in AWS Cloud, DevOps, and AI fields can enhance their technical knowledge and improve their chances of getting hired.
Professionals who want to upgrade their skills or move into cloud engineering and AI roles can learn modern technologies used in the industry.
People from non-IT backgrounds who want to transition into cloud computing and AI careers can start with beginner-friendly training and gradually move to advanced concepts.
Anyone passionate about cloud technologies, artificial intelligence, and modern application development can join this course and start their journey toward becoming a cloud professional.
AWS Cloud Engineers focus on building, deploying, and managing cloud infrastructure using AWS services for modern applications.
Cloud Solutions Architects design scalable, secure, and cost-effective cloud architectures for organizations.
DevOps Engineers automate infrastructure, CI/CD pipelines, deployments, and monitoring processes.
Generative AI Engineers build AI-powered applications using foundation models, prompt engineering, and AWS AI services.
AI Application Developers create intelligent chatbots, automation tools, and AI-driven enterprise solutions.
Cloud Administrators manage AWS resources, security, monitoring, backups, and cloud operations.
Cloud Consultants help organizations migrate, optimize, and modernize applications on AWS cloud platforms.
AWS Cloud and Generative AI professionals are among the most sought-after experts in today's technology industry. Organizations worldwide are investing heavily in cloud computing and AI-powered solutions, creating excellent career opportunities.
Freshers
₹5 LPA to ₹10 LPA
2–5 Years Experience
₹10 LPA to ₹20 LPA
Senior Professionals
₹20 LPA+ (Cloud Architects, AI Engineers, Solution Architects)
Cloud Computing and Generative AI are transforming businesses across every industry. AWS remains the world's leading cloud platform, while Generative AI is driving innovation through intelligent automation and content generation.
Companies are actively hiring AWS Cloud Professionals and AI Engineers to build scalable cloud infrastructure and AI-powered applications.
Use AI-powered analytics, fraud detection, and cloud-based financial services.
Implement AI assistants, patient data analysis, and secure cloud infrastructure.
Build recommendation systems, chatbots, and personalized shopping experiences.
Deploy cloud-native applications and enterprise AI solutions.
Generate content, automate workflows, and enhance customer engagement.
Leverage AWS and AI to rapidly develop innovative digital products.
Leading technology companies, startups, cloud consulting firms, and AI-driven organizations are actively hiring AWS Cloud and Generative AI professionals.
The demand for AWS Cloud and Generative AI professionals is growing rapidly across industries. Gain hands-on experience with AWS services, AI tools, and real-world projects to accelerate your career.
Hear what our students have to say about their journey with Innoture Digital Edge.
"The Java Full Stack course was a game-changer for my career. The real-time project experience was invaluable, and the trainers, who are actual industry architects, provided insights I couldn't get anywhere else. I landed my dream job within a month of completion."
"I was struggling to pass the AWS Solutions Architect exam on my own. Innoture Digital Edge's focused training and hands-on labs made all the difference. The instructors explained complex concepts with such clarity. Highly recommended for any cloud aspirant!"
"The UI Full Stack program is top-notch. I went from knowing basic HTML to building complex React applications with confidence. The placement assistance team was incredibly supportive, helping me build my resume and prepare for interviews."
"I joined Innoture Digital Edge to learn Java Full Stack Development and it was one of the best decisions for my career. The trainers explain concepts clearly and the real-time projects helped me understand how companies actually build applications."
"The course structure is excellent for beginners. I started with basic programming and now I can build full web applications using Java, Spring Boot, and React. The placement support is also very helpful."
"What I liked most is the practical training. Instead of only theory, we worked on real projects and GitHub portfolios. This helped me feel confident during interviews."
"The trainers are very supportive and guide students step by step. Even when I had doubts after class, they helped me understand the concepts clearly."
"Great institute for learning full stack development. The mock interviews and resume building sessions helped me prepare for real company interviews."
"I highly recommend this training program for anyone who wants to start a career in software development. The curriculum covers everything from basics to advanced topics."
"The best part of the course is the real-time projects and practical sessions. It helped me gain confidence in coding and application development."
"The learning environment is very good and the trainers explain concepts with real industry examples. It makes learning much easier."
"Good training with updated technologies like Spring Boot, REST APIs, and React. The course content is very relevant to current industry needs."
"This course helped me understand both frontend and backend development. The guidance provided for interviews and career growth is very valuable."
"The course helped me understand SEO, Google Ads, and social media marketing clearly. The practical sessions gave me confidence to work on real campaigns."
"The trainers explained every concept in a simple way. I learned keyword research, website optimization, and how SEO works in real projects."
"A very useful course for learning digital marketing from basics to advanced strategies. The projects helped me understand real marketing campaigns."
"The training is well structured and beginner friendly. I learned how to create content and promote brands online."
"I gained hands-on experience with Google Ads and campaign optimization. The trainer support was excellent."
"The practical examples and assignments helped me understand marketing strategies and analytics tools."
"A great place to learn digital marketing with real-time examples and guidance."
"The course helped me improve my marketing knowledge and understand how businesses grow online."
"I learned social media strategies, audience targeting, and campaign management through practical sessions."
"The assignments and projects helped me gain real knowledge and start working on freelance marketing projects."
Get answers to common questions about our courses and learning experience.