CloudCloud
By Sarath
Learn the data services of leading cloud platforms and how to build pipelines on them.
MASTER DATA ENGINEERING, GENAI & CLOUD.
Become an Expert in Data & AI with Industry-Ready Skills
- Build a rock-solid foundation and gain practical, job-ready expertise through premium courses designed around real-world projects, hands-on learning, and industry-driven technologies.
- Learn through real-world projects and hands-on exercises.
- Develop job-ready technical and problem-solving skills.
- Get comprehensive interview preparation and placement assistance.
- Work with modern technologies and prepare confidently for career growth.
Learn the Skills That Power Today's Data & AI Industry
From strong fundamentals to advanced technologies, our structured learning approach helps you
Learn • Build • Grow • Get Industry Ready.
Career growth
10,000+ Careers Transformed
Join thousands of learners who are building their careers with practical knowledge, real-time use cases, and industry-relevant skills.
About Rajesh A
At SGM Technologies, we are building a future-ready ecosystem for technology professionals, focused on transforming advanced knowledge into industry-ready expertise. SGM Technologies brings together Data Engineering, Generative AI, Cloud, Databricks, Snowflake, and Python to deliver practical, high-impact learning aligned with the evolving needs of the technology industry.
With a strong focus on practical learning, technical expertise, and emerging technologies, Rajesh A brings industry-relevant knowledge into every learning experience. Through continuous knowledge sharing and technology-focused content, he supports a growing community passionate about data, cloud, and AI.
At SGM Technologies, we believe technology education should go beyond theory. Our mission is to help learners understand concepts, build practical skills, and grow with confidence in the rapidly evolving technology landscape.
We don’t just teach technology — we build skills, enable careers, and shape the future of tech professionals.
Practical, project-based
Concepts are taught through hands-on exercises, a Spark project and cloud capstone projects, so you build things instead of only reading about them.
Modern data stack
Spark, Databricks, Azure, AWS, Kafka and Snowflake, the tools data teams use today, taught in one connected path.
Career support built in
Resume building, LinkedIn optimisation, Naukri profile optimisation and interview question practice are part of the program.
Our Programs
Cloud, Database, Data Engineering, Databricks, DevOps, Generative AI and Python, taught with real-world projects.
Cloud
Learn the data services of leading cloud platforms and how to build pipelines on them.
Cloud fundamentals
- What is cloud computing
- IaaS, PaaS & SaaS
- Regions & availability zones
- Shared responsibility model
AWS core services
- EC2 & S3
- IAM & security basics
- Lambda
- VPC fundamentals
Azure core services
- Azure fundamentals
- Storage & compute
- Resource groups
Cloud data services
- Data lakes
- Managed databases
- Cost optimisation basics
Data Engineering Program
Our flagship program takes you from big data fundamentals to cloud and lakehouse pipelines, with projects and interview preparation along the way.
Big data foundations
- Big data – the big picture
- Distributed storage & processing
- Apache Spark in depth
- Apache Spark optimisations
- Apache Hive
- Git, GitHub & CI/CD
Azure & Databricks
- Azure cloud fundamentals
- Azure Data Factory
- Delta Lake, Volumes, Autoloader
- Lakeflow pipelines, Connect & Jobs
- Medallion architecture
- Unity Catalog governance
AWS & streaming
- AWS S3, EC2, Lambda
- AWS Glue, EMR, Athena, Redshift
- Spark Structured Streaming
- Apache Kafka
- Data modelling
Projects
- Apache Spark project
- Azure cloud capstone project
- AWS project pipeline
Interview preparation
- Spark interview questions
- Azure interview questions
- Data structures & algorithms
Profile optimisation
- Resume building
- LinkedIn optimisation
- Naukri profile optimisation
Database
MongoDB Database Administrator Training covering NoSQL fundamentals, architecture, administration, security, backup, replication, scalability and performance.
NoSQL & MongoDB Fundamentals
- Introduction to NoSQL
- NoSQL vs SQL
- ACID & BASE
- CAP Theorem
- Documents, Collections & Databases
MongoDB Architecture & Development
- JSON & BSON
- Storage Engines
- CRUD Operations
- Schema Design & Data Modeling
- Indexes & Querying
Administration & Security
- Database Administration
- Monitoring & Troubleshooting
- Backup & Restore
- Authentication & Authorization
- Role-Based Access Control
High Availability & Scalability
- Replication & Replica Sets
- Oplog & Failover
- Sharding & Shard Keys
- Performance Tuning
- MongoDB Atlas & Tools
Databricks
Work hands-on with the Databricks platform, from clusters and Delta Lake to pipelines and governance.
Databricks platform
- Workspace & clusters
- Notebooks
- Jobs & scheduling
Delta Lake
- ACID tables
- Time travel
- Schema evolution
Data engineering on Databricks
- Autoloader
- Lakeflow pipelines
- Medallion architecture
Governance & collaboration
- Unity Catalog
- Access control
- Repos
DevOps
Learn how modern teams build, test, deploy and monitor software using automation, CI/CD and cloud tooling.
DevOps foundations
- CI/CD principles
- Git & version control
- Branching strategies
Automation & tooling
- CI/CD pipelines
- Infrastructure as Code intro
Containers
- Docker fundamentals
- Images & containers
Monitoring & deployment
- Logging & monitoring basics
- Deployment strategies
Data Science, Machine Learning, Generative AI & Agentic AI
Industry-focused training from Python and data analysis through Machine Learning, Generative AI, LLMs, RAG and Agentic AI development.
Python & Data Science
- Python Programming
- NumPy & Pandas
- Data Cleaning & Transformation
- Matplotlib & Seaborn
- Data Visualization & EDA
Machine Learning
- Supervised & Unsupervised Learning
- Regression & Classification
- Decision Trees & Random Forest
- K-Means & PCA
- Model Evaluation & Hyperparameter Tuning
End-to-End Data Science
- Problem Understanding & KPI Identification
- Feature Engineering
- Data Preprocessing
- ML Pipelines & Model Comparison
- Streamlit & FastAPI Deployment
Generative AI & LLMs
- Foundation Models
- GPT, BERT, LLaMA, Claude, Gemini & Mistral
- Transformers, Attention & Tokenization
- Embeddings & Context Windows
- Prompt Engineering
RAG & AI Applications
- Retrieval Augmented Generation
- Chunking & Embedding Models
- FAISS & ChromaDB
- LangChain Basics
- AI Chatbots & Knowledge Assistants
Agentic AI
- AI Agents & Multi-Agent Systems
- LangGraph
- CrewAI
- Microsoft AutoGen
- Tool Calling, Function Calling & Memory
Agent Projects & Responsible AI
- Research & Customer Support Agents
- Data Analysis & Career Guidance Agents
- AI Ethics
- Hallucination Reduction
- Security, Privacy & Bias Mitigation
Industry Capstone
- Enterprise AI Assistant
- RAG-Based Knowledge Search
- Multi-Agent Architecture
- CSV/PDF Knowledge Access
- API Integration & Dashboard
Python
Build the Python skills that data engineering and AI work depend on.
Python foundations
- Syntax & data types
- Control flow
Data structures
- Lists & dictionaries
- Functions
- OOP basics
Working with data
- Pandas basics
- NumPy basics
Practical Python
- File handling
- Working with APIs
- Scripting for pipelines
Snowflake
Learn modern cloud data warehousing with Snowflake, including data loading, SQL analytics, architecture, security and performance.
Snowflake Fundamentals
- Cloud data warehouse concepts
- Snowflake architecture
- Databases, schemas and tables
- Virtual warehouses
Data Loading & SQL
- Stages and file formats
- Bulk and continuous loading
- SQL querying
- Data transformation
Security & Governance
- Roles and privileges
- Access control
- Data protection basics
- Governance practices
Performance & Operations
- Query performance
- Warehouse sizing
- Cost optimisation
- Monitoring and administration
Tools & Services We Cover in Our Programs
Who should join the Data Engineering course?
The program is built for people who want to move into, or move up in, modern data careers.
- IT professionals with 2 to 15+ years of experienceBring your existing experience into a growing field.
- Professionals in traditional tech rolesTesting, mainframe, software or application development, data analysis, support and ETL.
- Data professionalsAlready working with data? Take your career to the next level.
Hire from SGM Technologies
Looking for people trained in Cloud, Data Engineering, Databricks, DevOps, Generative AI, Python or Snowflake? Tell us the roles and skills you need and we will get back to you.
Learn from our videos
Free lessons and updates from SGM Technologies.
Student success stories
Real learners, real results.
Frequently Asked Questions
What is included in the Data Engineering program?
Structured online learning, hands-on exercises, projects, industry-oriented concepts and career support such as resume, LinkedIn and Naukri profile optimisation. See the Courses section for the full list of topics.
Who should enroll in the Data Engineering course?
The program is built for IT professionals who want to grow in modern data careers, including:
- Working professionals
- Career switchers
- Data professionals looking to upskill
Can working professionals join?
Yes. The program is designed for working IT professionals of any experience level. Graduates and professionals from other domains can also join, provided they are ready to put in additional effort.
Is the course suitable for career switchers?
Yes. The structured, practical approach is meant for people moving into data-focused technology roles.
Does the training include practical projects?
Yes. You learn through hands-on exercises and projects, including a Spark project, an Azure cloud capstone project and an AWS project pipeline.
Will I be industry-ready after the course?
You are trained in depth on the technologies data teams use today, and the projects help you build the confidence to handle real-time work.
When can I start applying for Data Engineering interviews?
Interview preparation runs alongside the course, with interview question practice and profile optimisation. Contact us to plan the right time for your batch.
How do I get batch timings and fees?
Call or WhatsApp us on +91-7708933926, or send an enquiry from the Contact section below.
Talk to us
Ask about batches, fees or which program fits you. We reply on WhatsApp, phone and email.
- Phone & WhatsApp+91-7708933926
- Websitewww.sgmtech.in
- Instagramsgm_technologies_official
- LinkedInSGM Technologies
AddressNo. 151, 2nd Floor, Velachery Main Rd, Pallikaranai, Chennai, Tamil Nadu 600100 (Landmark - Radhekrishna Hero Showroom)