AWS Cloud Practitioner
Start your cloud career with AWS fundamentals and the Cloud Practitioner certification.
Build data lakes and GenAI solutions with AWS Glue, Redshift, Bedrock and SageMaker. Join classroom training in Mumbai, Thane, Pune, Kolkata & Bangalore, or attend live online classes, with hands-on projects and 100% placement assistance.
Build data lakes and GenAI solutions with AWS Glue, Redshift, Bedrock and SageMaker. The course is a 4 months programme in 8 structured modules.
AWS Certified Data Engineer – Associate / AWS Certified AI Practitioner
AWS data lake architecture
AWS Glue ETL and Data Catalog
Amazon Redshift and Athena
Streaming with Kinesis
Amazon EMR and Spark
Amazon Bedrock and foundation models
Amazon SageMaker essentials
GenAI data pipeline project
Here is how we turn the syllabus into skills you can use at work from the first week.
Every AWS Data Engineering & Generative AI session is led by practitioners who have delivered real Cloud Computing projects, so you learn the way the job is actually done, including the shortcuts and pitfalls textbooks skip.
The programme moves from aws data lake architecture through to genai data pipeline project, and is reviewed regularly so what you practise matches what employers are hiring for today.
Labs run on live environments, cloud sandboxes and realistic datasets. You repeat each concept hands-on until it becomes second nature.
We prepare you for AWS Certified Data Engineer – Associate / AWS Certified AI Practitioner with mock tests and exam strategy.
Choose a classroom batch in Mumbai, Thane, Pune, Kolkata or Bangalore, or attend the same live class online, with weekday, evening and weekend options.
Résumé reviews, mock interviews and recruiter introductions continue after the course ends, until you are confident and interview-ready.
Discover the opportunities this programme can lead to with The Interface.
Basic computer and networking knowledge is useful. Freshers, IT support staff, developers and system administrators can all join.
The AWS Data Engineering & Generative AI course runs for 4 Months. The course fee is ₹40,000 (regular fee ₹50,000), and EMI options are available.
The AWS Data Engineering & Generative AI course is available as classroom training in Mumbai, Thane, Pune, Kolkata & Bangalore, and as live, instructor-led online training across India.
Basic computer and networking knowledge is useful. Freshers, IT support staff, developers and system administrators can all join.
Yes. You receive a course completion certificate from The Interface, and the course prepares you for AWS Certified Data Engineer – Associate / AWS Certified AI Practitioner.
Common roles include AWS Data Engineer, GenAI Engineer (AWS) and Cloud Data Engineer.
Yes. You get 100% placement assistance, including resume and LinkedIn building, mock interviews, career mentoring and interview referrals.
Have a question about this course? Our counsellors are happy to help.
The AWS Data Engineering & Generative AI course at The Interface is built for learners who want a skill that translates directly into employment. Build data lakes and GenAI solutions with AWS Glue, Redshift, Bedrock and SageMaker. Over 4 months, you progress through 8 carefully sequenced modules, beginning with aws data lake architecture and finishing with genai data pipeline project. Each module combines a clear explanation of the concept with guided practice, so you understand both the why and the how.
Classes run at our centres in Mumbai, Thane, Pune, Kolkata and Bangalore, and the very same sessions are streamed live for online learners anywhere in India. Batches are kept small enough for trainers to review your work individually, answer questions in depth and adjust the pace when a topic needs more time.
Graduates of this programme typically pursue roles such as AWS Data Engineer, GenAI Engineer (AWS) and Cloud Data Engineer. Because the syllabus reflects what hiring managers ask for, you finish with a portfolio of practical work and the vocabulary to discuss it confidently in interviews.
Practical learning sits at the heart of everything we teach. Rather than memorising theory, you work through realistic scenarios drawn from cloud computing projects, troubleshoot problems the way professionals do, and complete a capstone that you can showcase to employers.
Alongside technical training, our career team helps you present that work well. You get feedback on your résumé and LinkedIn profile, rehearse technical and HR interviews, and receive introductions to recruiters looking for aws data engineer talent.
Choosing where to train is an important decision. Here is what learners value most about studying with us.
Start your cloud career with AWS fundamentals and the Cloud Practitioner certification.
Design secure, resilient and cost-effective architectures on AWS.
Build and deploy cloud-native and serverless applications on AWS.
Speak with a counsellor and reserve a complimentary demo class, at a centre or live online.