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Full Stack AWS Cloud Computing Course For Beginners

New to Cloud? Learn cloud computing from scratch and become a certified Amazon Web Services specialist in just 4 months with our intensive bootcamp for beginners.
Design Thinking
Domain Mastery
Real world case studies
upcoming cohorts
October 20, 2024
upcoming cohorts
Nov 20,2024
Tech you will Learn
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Program Overview

Our AWS course for beginners offers a straightforward introduction to Amazon Web Services, designed for newcomers to cloud computing. You'll learn how AWS supports companies like Netflix and Airbnb, understand basic cloud concepts, and explore essential services such as EC2, S3, and RDS. The course combines practical examples and hands-on learning to help you build simple cloud solutions. By the end, you'll be ready to take AWS certification exams and start a career in cloud technology.

Make A Life-Changing Career Choice
BIGGEST GROWING INDUSTRY
$349.6 Billion
Amount industry is set to grow by 2030
IN-DEMAND CAREER
45%
Growth in demand for Data Analysts in the next 5 years
MASSIVE JOB OPENINGS
1M+
Job openings and counting for Data Analysts worldwide.
HIGH ENTRY-LEVEL SALARY
₹8-14 LPA+
Current average CTC for entry-level Data Analysts in India.
HIGHLY PAID JOBS
$74K
Current average salary for data analysts worldwide according to Glassdoor. Huge year-on-year growth.
Don't Just Learn. Specialize.
India’s only course with industry specialization in banking and fianance.
50+
Banking case studies
10+
Porblem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Leanring
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies
India’s only course with industry specialization in banking and fianance.
50+
Banking case studies
10+
Porblem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Leanring
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies
What This Program Has To Offer
Key Features
Get industry specific training
Easy EMI option
7 day, no questions asked money back policy
30 day Pause
Dedicated student support
1:1 mentorship by industry experts
Get practical training by working on actual banking use cases
Learn through industry-approved learning frameworks
Deep Understanding of Analytics
Learn Data Manipulation & cleaning using Excel, SQL and Python
Statistical analysis
Data Visualization using Tableau, Power BI, Matplotlib and Seaborn
Learn Python and R for data analysis & automation
Database Management 
Machine Learning
Specialization in Banking & Finance
Learn core banking & finance concepts 
Master the different Fintech business models & their primary drivers
Understand how to apply data analytics to diverse Fintech products
Industry-tested Problem Solving Frameworks
Learn 15+ problem solving frameworks for finance
Be confident to tackle any problem at your job
Program Eligibility 
No prior coding experience required
Students with any graduate degree welcome
Basic computer literacy
Fundamental math skills
Curiosity and eagerness to learn
What You'll Learn
Core AWS Skills You Will Learn
  1. Proficiency in setting up and managing core AWS services like EC2, S3, and RDS.
  2. Understanding the principles of cloud computing, including on-demand resource availability and pay-as-you-go pricing.
  3. Skills to create and secure AWS accounts and manage access through IAM policies.
  4. Ability to design and implement robust cloud infrastructure using VPC, subnets, and route tables.
  5. Knowledge of managing data storage solutions with AWS services like S3, EBS, and Glacier.
  6. Capability to deploy and manage applications using AWS compute services, including EC2, Lambda, and ECS.
Tools and Technologies You Will Learn
  1. AWS EC2: Virtual servers for running applications.
  2. AWS S3: Scalable storage for data and media files.
  3. AWS RDS: Managed relational database services.
  4. AWS VPC: Virtual Private Cloud for secure networking.
  5. AWS Lambda: Serverless computing to run code without managing servers.
  6. AWS CloudWatch: Monitoring and logging service for tracking application performance.
  7. AWS CloudFormation: Infrastructure as code for automating resource management.
  8. AWS IAM: Identity and Access Management for securing AWS resources.
  9. AWS Route 53: DNS service for high availability and scalability.
  10. AWS CloudTrail: Service for logging and monitoring AWS API activity.
  11. AWS DynamoDB: Managed NoSQL database service for fast and flexible data retrieval.
Essential communication and business skills relevant to the cloud computing domain:
  1. Stakeholder Communication: Clearly explain cloud computing solutions, benefits, and potential challenges to stakeholders, ensuring alignment with business goals and IT strategies
  2. Technical Documentation: Create comprehensive and accessible documentation for cloud architectures, services, and implementation processes to facilitate understanding and collaboration among team members.
  3. Project Management: Plan, coordinate, and oversee cloud computing projects efficiently, ensuring timely delivery, budget adherence, and alignment with organizational objectives.
  4. Cost-Benefit Analysis: Present detailed analyses of cloud service costs and benefits to non-technical stakeholders, aiding in informed decision-making and budget planning
  5. Cross-Functional Collaboration: Work effectively with IT, security, and business teams to integrate cloud solutions seamlessly into the company's operations and infrastructure.
Business Problem Solving using AWS
  1. Analyze and define business needs to align AWS solutions with organizational goals.
  2. Design cloud architectures that scale with demand using AWS services like EC2, Auto Scaling, and Load Balancer.
  3. Implement strategies to optimize cost-efficiency and performance using AWS Cost Explorer and performance monitoring tools.
  4. Develop secure and compliant cloud solutions by leveraging AWS IAM, Security Groups, and compliance services.
  5. Apply design thinking principles to create innovative and user-centric AWS solutions.
  6. Design and implement robust disaster recovery and high-availability strategies using AWS services like Route 53, CloudFront, and Backup.
Business Problem Solving using AWS
  1. Analyze and define business needs to align AWS solutions with organizational goals.
  2. Design cloud architectures that scale with demand using AWS services like EC2, Auto Scaling, and Load Balancer.
  3. Implement strategies to optimize cost-efficiency and performance using AWS Cost Explorer and performance monitoring tools.
  4. Develop secure and compliant cloud solutions by leveraging AWS IAM, Security Groups, and compliance services.
  5. Apply design thinking principles to create innovative and user-centric AWS solutions.
  6. Design and implement robust disaster recovery and high-availability strategies using AWS services like Route 53, CloudFront, and Backup.
Curriculum Designed For
Banking & Finance
Module 1: Introduction to AWS Cloud Computing
3 Lectures

Gain a foundational understanding of AWS Cloud Computing and its applications across various industries. This module will help you understand how businesses like Netflix and Airbnb leverage AWS for scalable, cost-effective, and high-performing infrastructure. For example, a startup wanting to avoid large upfront costs can use AWS to deploy applications quickly and scale as needed without investing in physical hardware.

  • 1.1 Overview of AWS services and architecture:
    • Understand the comprehensive suite of AWS services and how they integrate to form a robust cloud architecture. Real-world application: An online retailer can use AWS services like EC2 for hosting their website, S3 for storing product images, and RDS for managing customer orders.
  • 1.2 Understanding the cloud computing paradigm:
    • Learn the principles of cloud computing including on-demand resource availability and pay-as-you-go pricing. Real-world application: A startup can scale their infrastructure as they grow, paying only for the resources they use, thus minimizing upfront costs.
  • 1.3 Benefits and use cases of AWS in various industries:
    • Explore how AWS is utilized across different sectors. Real-world application: In healthcare, AWS can manage large datasets of patient records with high security and compliance with regulations like HIPAA.
Module 2: AWS Fundamentals and Core Services
2 Lectures

Learn the core AWS services essential for setting up a basic cloud environment. Understand how businesses use services like EC2 for computing power, S3 for storage, and RDS for databases to handle everyday operations. An e-commerce company, for instance, can use S3 for storing product images and videos, EC2 instances to run their website, and RDS to manage their customer database efficiently.

  • 1.1 Introduction to core AWS services (EC2, S3, RDS, etc.):
    • Get familiar with essential AWS services. Real-world application: A fintech company can use EC2 instances to run their applications, S3 to store transaction logs, and RDS for maintaining their customer databases.
  • 1.2 Setting up AWS accounts and managing security::
    • Learn to create and secure AWS accounts. Real-world application: An organization can manage multiple AWS accounts for different departments, ensuring secure access through IAM policies.
Module 3: Cloud Infrastructure and Networking
3 Lectures

Design robust cloud infrastructure to ensure high availability and security. Networking in AWS enables businesses to connect their applications and services securely. For example, a multinational corporation can set up a Virtual Private Cloud (VPC) to isolate its sensitive data and use Subnets to organize resources across different geographical regions for optimal performance and compliance with local regulations

  • 1.1 Designing and implementing cloud infrastructure:
    • Plan and build scalable cloud environments. Real-world application: A multinational company can design a global infrastructure with VPCs and subnets to ensure efficient and secure communication between their worldwide offices.
  • 1.2 Networking concepts in AWS (VPC, Subnets, Route Tables):
    • Understand the networking aspects of AWS. Real-world application: An enterprise can set up VPCs to isolate sensitive financial data, ensuring it is only accessible by authorized systems.
  • 1.3 Optimizing network performance and security:
    • Techniques to enhance network efficiency. Real-world application: An e-commerce platform can use Route 53 to route users to the nearest data center, improving load times and user experience.
Module 4: Storage and Database Services
3 Lectures

Efficiently manage and store large volumes of data using AWS storage solutions. Learn how a media company can use S3 for storing vast amounts of video content, Glacier for long-term archival storage, and RDS to manage metadata about their content library.

  • 1.1 Understanding AWS storage options (S3, EBS, Glacier):
    • Learn about different AWS storage solutions. Real-world application: A media company can use S3 for storing video content, EBS for high-performance storage attached to EC2, and Glacier for archiving older footage.
  • 1.2 Introduction to AWS database services (RDS, DynamoDB):
    • Overview of AWS database offerings. Real-world application: A gaming company can use DynamoDB for high-speed data retrieval in gaming applications, ensuring a seamless player experience.
  • 1.3 Best practices for data storage and management in AWS:
    • Learn effective data management strategies. Real-world application: A financial institution can implement robust data backup and disaster recovery plans using S3 and Glacier.
Module 5: Compute Services and Serverless Computing
3 Lectures

Deploy and scale applications efficiently without managing underlying infrastructure. Understand how a financial services company can use AWS Lambda to execute transaction processing without managing servers, reducing operational overhead and improving scalability.

  • 1.1 Exploring AWS compute services (EC2, Lambda, ECS):
    • Dive into AWS compute capabilities. Real-world application: An AI startup can use EC2 for high-performance computing tasks, ECS for container management, and Lambda for running microservices without server management.
  • 1.2 Serverless computing with AWS Lambda:
    • Build applications without managing servers. Real-world application: A payment processing company can use Lambda to execute code in response to transaction events, improving scalability and reducing costs.
  • 1.3 Building and deploying serverless applications:
    • Practical serverless application development. Real-world application: An IoT company can deploy serverless applications that process data from thousands of devices in real-time.
Module 6: Scalability and High Availability
3 Lectures

Ensure applications can scale and remain available during peak times, crucial for customer satisfaction and business continuity. For instance, a retail company experiencing high traffic during Black Friday can use AWS Auto Scaling to handle traffic spikes and Route 53 for DNS management to ensure their website remains accessible.

  • 1.1 Scaling applications on AWS using auto-scaling and load balancing:
    • Ensure applications can handle varying loads. Real-world application: A social media platform can use auto-scaling to manage user spikes during peak times and load balancers to distribute traffic efficiently.
  • 1.2 Achieving high availability with AWS services (Route 53, CloudFront):
    • Maintain application uptime and performance. Real-world application: A global streaming service can use Route 53 for DNS failover and CloudFront for content delivery, ensuring a smooth viewing experience.
  • 1.3 Disaster recovery and backup strategies in AWS:
    •  Plan for data protection and recovery. Real-world application: A law firm can implement automated backups and disaster recovery plans to protect sensitive client data.
Module 7: Security and Compliance
3 Lectures

Implement robust security measures to protect sensitive data and ensure compliance with regulations. Learn how a healthcare provider can use IAM for access control, Security Groups to manage traffic, and encryption to secure patient data, ensuring compliance with HIPAA regulations.

  • 1.1 Securing AWS resources with IAM, Security Groups, and ACLs:
    • Implement robust security measures. Real-world application: A healthcare provider can use IAM to control user access, Security Groups to define traffic rules, and ACLs to add an additional layer of security.
  • 1.2 Compliance and governance in AWS:
    • Ensure adherence to industry regulations. Real-world application: A financial institution can use AWS compliance tools to meet regulatory requirements like GDPR and PCI-DSS.
  • 1.3 Implementing encryption and data protection measures:
    • Protect data at rest and in transit. Real-world application: An online banking service can use encryption to secure customer data, ensuring privacy and security.
Module 8: Monitoring and Optimization
3 Lectures

Maintain performance and optimize costs through monitoring AWS environments. Understand how an online service provider can use CloudWatch to monitor application performance, CloudTrail to log API activity for auditing purposes, and Cost Explorer to analyze and optimize AWS spending.

  • 1.1 Monitoring AWS resources with CloudWatch and CloudTrail:
    • Track and log AWS resource usage. Real-world application: An IT department can use CloudWatch for performance monitoring and CloudTrail for auditing API calls, ensuring operational transparency and security.
  • 1.2 Performance optimization techniques::
    • Enhance the efficiency of AWS deployments. Real-world application: An e-commerce site can optimize their database queries and application code to reduce latency and improve response times.
  • 1.3 Cost management and billing in AWS:
    • Manage and optimize AWS spending. Real-world application: A startup can use AWS Cost Explorer to monitor and control their cloud expenses, ensuring they stay within budget.
Industry Case Studies
You'll Work On
Advanced Fraud Detection Techniques in Banking
Learn the skills and knowledge to detect fraudulent activities in credit card transactions, ensuring financial security for banking institutions and customers.
Skills Learned:
Data Preprocessing
Feature Engineering
Model Evaluation
Anomaly Detection Techniques
Operational Efficiency Optimization in Banking
Develop the tools and techniques to forecast call volumes in banking call centers, improving resource allocation and enhancing customer service efficiency.
Skills Learned:
Time Series Forecasting
Model Evaluation
Operational Optimization Techniques
Customer Segmentation Strategies for Banking Marketing
Learn how to segment bank customers based on their behavior and demographics to optimize marketing campaigns for targeted customer engagement and retention.
Skills Learned:
Data Visualization
Clustering Algorithms
Customer Profiling techniques
Sales Prediction and Optimization in Banking
Learn how to predict sales performance and optimize sales strategies for banking products and services that drive revenue growth and customer acquisition.
Skills Learned:
Predictive Modeling
Sales forecasting
Model Interpretation Techniques
Real-time ATM Fraud Detection in Banking
Equip yourself with the skills to detect fraudulent activities in ATM transactions, safeguarding banking institutions and customers from financial losses.
Skills Learned:
Data Preprocessing
Model Evaluation
Anomaly Detection Techniques
Predictive Modeling for Loan Default Prediction in Banking
Predict loan default probabilities that enable banks to assess credit risk and make informed lending decisions.
Skills Learned:
Feature engineering
Risk Assessment
Model Evaluation Techniques
Predictive Analytics for Customer Lifetime Value Estimation
Learn how to estimate the lifetime value of bank customers, facilitating targeted marketing strategies and personalized customer experiences.
Skills Learned:
Customer Segmentation
Predictive modeling
Model Evaluation
Personalized Cross-Selling Recommendations in Banking
Gain the skills to build recommendation systems for cross-selling banking products and services based on customer behavior and preferences.
Skills Learned:
Collaborative Filtering
Recommendation Algorithms
Customer Profiling Techniques
Machine Learning for Mortgage Risk Assessment in Banking
Learn the tools to assess mortgage loan risks, enabling banks to make informed lending decisions and manage credit risk effectively.
Skills Learned:
Feature Selection
Risk Modeling
Credit Scoring Techniques
"
“The team was thrilled with the quality of instruction provided. We have requests from teams from other departments to undertake the training as well.”
Avinash Purohit
DGM, Canara Bank
Is This Bootcamp Right For You?
Are you looking for a career change?
Do you want to switch from your current job to a more lucrative career as a data analyst in finance ?
Do you want a promotion?
Are you a banking or finance professional looking to upgrade your career with the most sought after skill in today’s market - data analytics?
Are you a beginner to data analytics?
Are you a recent graduate looking for a comprehensive program to teach you everything you need to know to launch your career as a data analyst in the financial sector?

If you answered "Yes" to any of these questions, SkillCamper's Data Analyst Bootcamp is the perfect fit for you!

Try a free Masterclass
Alumni Success Stories

From career switchers to college grads, we have helped a diverse range of learners kickstart & progress rapidly in their data science careers. 

“I decided to shift my career to Data Science.”

After joining SkillCamper’s Data Science Bootcamp my confidence has increased because of the 1:1 attention I got from mentors that helped me cope with the new field. My doubts were resolved easily and the instructors are great!
Fatema Rampurawala
Graduate in BSC-IT

 “I have received a lot of help from the cohort.”

Everybody is collaborative and we help each other in getting clearer understanding when we are stuck. SkillCamper fosters a supportive environment where every question is valued, ensuring that no one feels left behind.
Pragati Jha
Public Relations Professional

“I feel 85-90% confident about sitting in an interview.”

SkillCamper’s soft skills training and placement support has been a huge help. The Data Science Bootcamp was a great learning experience and I’m eager to start applying these skills at my job. 
Supriya K
Final Year Student
SkillCamper Is Made For Working Professionals.

You don’t need to quit your job to learn in-demand skills and upgrade your career. Go at your own pace and get 1:1 support from mentors, program advisors and career experts all dedicated to helping you succeed.

SkillCamper

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SkillCamper

Youtube Tutorials
& Courses

Other Bootcamps & Degree Programs

Online Certification
Program

$$$

0-$

$$$

$

16 weeks course

No time limit

20-60 weeks course

3-4 weeks course

1:1 Mentorship

No learner support

1:1 support may or may not be available

No learner support

Access to industry experts

No access to any mentor

Access to industry may or may not be available

No access to industry experts

Live classes with experts

No live classes

Live classes only

No live classes

Dedicated academic counselors to ensure you complete course requirements

No accountability

Accountability through assignments and grading

Limited accountability

15-20 hours of time commitment per week - designed for working professionals

No time commitment

Full-time commitment - not made for working professionals

8-10 hours per week of time commitment - suited to working professionals

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Learn on a cutting-edge AI learning platform. Get mentored by industry experts with decades of experience, on a platform designed for ease and personalized learning journeys. It is excellence in learning, made accessible.

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Live Interaction

Self paced

Course Fee

₹ 75,000

₹ 50,000

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Limited

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Live Interaction

Self paced

Course Fee

$1000

$750

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Limited

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Frequently Asked Questions
What technologies will I learn in the Data Science bootcamps?
You will learn Python, R, SQL, Power BI, Tableau, Excel, Pandas, Numpy, Matplotlib, Seaborn, and PySpark.
Can I start with no prior experience in Data Science?
Yes, our programs are designed for both beginners and those looking to deepen their knowledge. We offer fundamental courses as well as advanced bootcamps.
What is the duration of your Data Science bootcamps?
Our bootcamps are designed to be completed in 4 months with a focus on real-world applications in the banking and finance sectors.
How is the curriculum for the Data Science bootcamp structured?
The curriculum includes hands-on projects, case studies focused on the banking and finance industry, and courses on core data analysis tools and techniques.
Will I have access to the course materials after the bootcamp is over?
Yes, you will have lifetime access to all course materials, which you can refer to at any time to refresh your knowledge or tackle new challenges.
 What type of job support do you provide after completing the course?
We offer comprehensive placement assistance, including resume building, mock interviews, and leveraging our network of industry partners.
How do you prepare students for the job market?
We equip students with industry-relevant skills, help craft winning resumes, and provide mock interview practice with experienced mentors.
Do you guarantee a job after completing the course?
While we do not guarantee a job, we provide extensive support to help you become highly competitive in the job market.
 Can you help me find a job in any specific industry?
Our job assistance is generalized; we prepare you for a variety of roles in the data science field rather than focusing on specific industries.
What is the cost of the Data Science bootcamp?
The cost varies depending on the program. Our full bootcamp is priced between ₹50,000 and ₹75,000, depending on whether you choose self-paced or live instruction.
 Are scholarships available for the courses?
Yes, we offer scholarships that can cover up to 70% of the tuition fees, making our courses more accessible to a wider range of students.
What is included in the course fee?
The fee includes access to all course materials, live coding sessions, AI-based learning platform, case studies, capstone projects, and mentorship from industry experts.
What payment options are available for the course fees?
We offer flexible payment options, including easy EMIs, and you can cancel anytime in the first 7 days for a full refund.
Is financial aid or other support available aside from scholarships?
While our primary financial support is through scholarships, our enrollment advisors can also assist you with payment plans and financing options to help manage the cost of your education.
SkillCamper Learner Support

Talk to program advisors.
We are here to help you anytime you need.