Two Day Offline Workshop at IISc Bangalore

Table of Contents

🎓 2-Day Exclusive Technical Workshops at IISc Bangalore

1.Introduction

      In today’s fast-evolving tech world, staying ahead requires practical knowledge and hands-on training. To help students, freshers, and professionals upgrade their skills, Vital Skills, in association with Rhapsody 3.0 IISc Bangalore, is hosting 2-Day Exclusive Technical Workshops on the IISc Bangalore campus.

      These workshops are designed to provide a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI — some of the most in-demand technologies of the decade. Whether you’re a beginner or someone looking to refine your expertise, this event is the perfect opportunity to learn directly from industry leaders.

      2.Understanding the Workshop Theme

        The workshop focuses on the application of Artificial Intelligence and Generative AI in real-world scenarios. Participants will explore:

        • Core concepts of Machine Learning.
        • The revolutionary impact of Generative AI on industries.
        • End-to-end project-based training for a hands-on learning experience.

        This makes the program suitable for students, early professionals, and enthusiasts aiming to enter or grow in the AI/ML space.

        3.Key Skills You Will Gain

          By attending, you will learn skills that enhance both your knowledge and career prospects:

          Technical Skills

          • Machine Learning Fundamentals
          • Generative AI Models and Use Cases
          • Python in AI Applications
          • Data Handling and Analysis Techniques

          Soft Skills

          • Problem-solving through AI applications
          • Critical thinking with data-driven insights
          • Collaboration in tech projects
          • Adaptability to emerging AI trends

          4.Structure of the Workshops

            The event is split into sessions to suit different learning preferences:

            • Day 1 (04th October): Artificial Intelligence with Machine Learning
            • Day 2 (05th October): Mastering Generative AI
            • Full 2-Day Workshop: AI with ML + Generative AI
            • Each day will run from 10 AM to 6 PM with interactive sessions, practical training, and Q&A opportunities.

            5.Why You Should Join

              This is not just another workshop — it’s a career-transforming opportunity. Here’s why:

              🧑🏻 Trainer: Learn directly from Chandan Mishra, Co-founder & CTO of Rubick Ai.
              🏅 Certification: Receive an official Rhapsody 3.0 IISc Bangalore Certification.
              🎁 Exclusive Benefit: Get a free online course coupon worth ₹500 on registration.
              🎓 Comprehensive Training: Beginner-friendly yet advanced enough for professionals.
              💡 Group Discounts: Special group registration benefits available.

              6.Registration Details

                Dates: 04th & 05th October
                Timings: 10 AM – 6 PM
                Venue: IISc Bangalore Campus

                Fees: ₹1,199 Only
                🔗 Register Now: Click Here
                🔗 Alternate Payment Link: Pay Here
                📞 Contact: Ashish Singh – 8799776244

                7.What You Will Work On

                  The sessions will cover practical projects and case studies, such as:

                  • Building simple ML models.
                  • Exploring how Generative AI can create text, images, and code.
                  • Understanding AI workflows from data collection to model deployment.
                  • Hands-on tasks with real-world datasets.

                  This ensures that participants don’t just learn theory but apply AI concepts practically.

                  8.Certification and Added Value

                    Every participant will receive:

                    • Rhapsody 3.0 IISc Bangalore Certification, a recognized credential for your portfolio.
                    • A ₹500 coupon for future online learning with Vital Skills.
                    • Networking opportunities with peers and trainers.

                    9.Who Should Attend?

                      This workshop is ideal for:

                      • Students looking to enter the AI/ML field.
                      • Freshers wanting to add certified skills to their resume.
                      • Professionals seeking to transition into AI-driven roles.
                      • Anyone curious about the potential of Generative AI.

                      10.Common Mistakes to Avoid Before Joining

                        To make the most of this workshop, avoid these mistakes:

                        • Assuming prior knowledge is required — the program is designed for all levels.
                        • Waiting until the last minute to register — limited seats available.
                        • Skipping practical sessions — they are key to mastering the concepts.

                        11.Tailoring Your Learning Outcomes

                          Your learning experience will be more impactful if you:

                          • Come with a problem or project idea in mind to apply AI/ML concepts.
                          • Engage in discussions during Q&A sessions.
                          • Use the networking opportunities to connect with like-minded peers.

                          12.Sample Learning Outcomes

                            By the end of the workshop, you will be able to:

                            • Build and optimize ML models for real-world tasks.
                            • Utilize Generative AI for text, image, and code creation.
                            • Understand end-to-end workflows of AI projects.
                            • Apply Python tools and libraries in AI development.

                            13.Making the Most of the Workshop

                              • Tips to maximize your experience:
                              • Bring a laptop with Python installed for hands-on practice.
                              • Review basic Python programming beforehand.
                              • Take notes and actively participate in group activities.

                              14.Final Checklist Before Registration

                                • Confirm your availability on 04th & 05th October.
                                • Check fees and group discount options.
                                • Ensure you have registered via the official link.
                                • Save contact details for queries.

                                🔗 More Information Here

                                15.Conclusion

                                  The 2-Day Exclusive Technical Workshops at IISc Bangalore are a rare chance to learn from an industry leader, earn a prestigious certification, and explore the future of Artificial Intelligence and Generative AI. With practical sessions, real-world projects, and a certificate that strengthens your resume, this workshop is an investment in your career growth.

                                  Seats are limited — secure yours today and be part of this transformative learning experience.

                                  📌 FAQs for the Workshop Blog

                                  1. Who can attend the IISc Bangalore AI & Generative AI workshops?
                                  The workshops are open to students, freshers, working professionals, and anyone curious to explore Artificial Intelligence, Machine Learning, and Generative AI.

                                  2. Do I need prior knowledge of AI or Python to join?
                                  No, the workshops are beginner-friendly and designed to guide you from the basics to advanced concepts. Prior coding knowledge is helpful but not mandatory.

                                  3. What will I learn in the 2-day workshop?
                                  You will learn Machine Learning fundamentals, hands-on Generative AI applications, real-world datasets, and how to build AI-driven solutions.

                                  4. Will I get a certificate after the workshop?
                                  Yes, participants will receive a Rhapsody 3.0 IISc Bangalore Certification, which adds value to your resume and career profile.

                                  5. What are the fees and how can I register?
                                  The registration fee is ₹1,199 only. You can register online via the official link: Click Here or use the alternate payment link: Pay Here.

                                  6. Are there any group discounts available?
                                  Yes, group registration benefits and discounts are available. Contact the organizer for details at 8799776244 (Ashish Singh).

                                  7. What should I bring to the workshop?
                                  Participants are advised to bring a laptop with Python installed for hands-on practice and active participation.

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                                      Cloud Computing With AWS

                                      Demo Lecture

                                      Course Curriculum

                                      Module 1: Introduction to Cloud Computing

                                      • Overview of Cloud Computing
                                        • Definition, Characteristics, and Benefits
                                        • Types of Cloud Services: IaaS, PaaS, SaaS
                                        • Deployment Models: Public, Private, Hybrid, and Community Clouds
                                      • History and Evolution of Cloud Computing
                                        • From On-Premises to the Cloud
                                        • Major Milestones and Innovations
                                      • Why AWS for Cloud Computing?
                                        • AWS Overview and Market Leadership
                                        • Global Infrastructure: Regions and Availability Zones

                                      Module 2: Core Concepts of Cloud Computing

                                      • Virtualization Basics
                                        • AWS EC2 Instances as an Example of Virtual Machines
                                        • Amazon ECS and EKS for Container Management
                                      • Networking in the Cloud
                                        • Amazon VPC: Subnets, Route Tables, and Gateways
                                        • Elastic Load Balancing (ELB) and AWS Direct Connect
                                      • Storage in the Cloud
                                        • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
                                        • Amazon EBS for Block Storage

                                      Module 3: Cloud Infrastructure and Architecture

                                      • Scalability and Elasticity
                                        • Using AWS Auto Scaling for Elastic Workloads
                                        • Horizontal and Vertical Scaling with Amazon EC2
                                      • Cloud-Native Architecture
                                        • Serverless Computing with AWS Lambda
                                        • Orchestrating Containers with Amazon ECS and EKS
                                      • High Availability and Disaster Recovery
                                        • Multi-Region Deployments with AWS Route 53
                                        • Backup Strategies Using AWS Backup

                                      Module 4: Security in the Cloud

                                      • Cloud Security Fundamentals
                                        • Shared Responsibility Model with AWS
                                        • Identity and Access Management (IAM) for User Roles and Permissions
                                      • Data Security
                                        • Encryption Using AWS Key Management Service (KMS)
                                        • Monitoring and Auditing with AWS CloudTrail
                                      • Compliance and Governance
                                        • Managing Compliance with AWS Config and Artifact

                                      Module 5: Cloud Service Models

                                      • Infrastructure as a Service (IaaS)
                                        • Provisioning EC2 Instances
                                        • Managing Storage and Networking with Amazon VPC and Elastic IPs
                                      • Platform as a Service (PaaS)
                                        • Deploying Applications Using AWS Elastic Beanstalk
                                      • Software as a Service (SaaS)
                                        • Exploring AWS Marketplace for SaaS Solutions

                                      Module 6: DevOps and Automation in the Cloud

                                      • Cloud and DevOps Integration
                                        • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
                                      • Infrastructure as Code (IaC)
                                        • Automating Resource Provisioning Using AWS CloudFormation and Terraform
                                      • Monitoring and Logging
                                        • Application Monitoring with Amazon CloudWatch

                                      Module 7: Cloud Economics and Optimization

                                      • Cost Management in AWS
                                        • Exploring AWS Pricing Models
                                        • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
                                      • Resource Optimization
                                        • Reserved Instances and Savings Plans in EC2
                                        • Using Trusted Advisor for Recommendations
                                      • Sustainability in the Cloud
                                        • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

                                      Module 8: Emerging Trends in Cloud Computing

                                      • Edge Computing with AWS
                                        • AWS IoT Greengrass and AWS Wavelength
                                      • AI and Machine Learning in the Cloud
                                        • Using Amazon Sage Maker for Machine Learning Workflows
                                      • Hybrid and Multi-Cloud Strategies
                                        • Managing Hybrid Environments with AWS Outposts

                                      Module 9: Projects

                                       

                                      Fill the Form to Claim This OFFER!

                                      View Curriculum & Demo Lectures ↓

                                        13400 Students Already Enrolled

                                        Fill the Form to Claim This OFFER!

                                        View Curriculum & Demo Lectures ↓

                                          13400 Students Already Enrolled