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Certification with 100% Placement Assistance
Online Course | Real-Time Projects | 3-4 Months |Free Demo Class
Master Databricks, Apache Spark, and Generative AI integration with our Databricks with Gen AI Training Program and Certification with 100% Placement Assistance. Learn Spark SQL, Data Engineering, Delta Lake, ETL pipelines, Machine Learning workflows, and Gen AI-powered analytics. At Innoture Digital Edge, our industry-focused training, expert mentors, and hands-on projects help you become job-ready for modern Data & AI roles.
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| 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 Databricks & Gen AI Curriculum
Our course is designed based on modern data engineering and AI industry needs. Students learn Databricks, Apache Spark, Delta Lake, SQL, Python, and Gen AI integration workflows.
Real-Time Projects and Practical Training
Students work on real-time data engineering and AI projects using Databricks workspace, helping them understand real-world data pipelines and analytics systems.
Expert Trainers with Industry Experience
Our trainers are experienced in Data Engineering, Big Data, and AI systems, guiding students step-by-step through complex concepts.
100% Placement Support
We provide dedicated placement assistance including resume building, mock interviews, and referrals for Data Engineer and AI roles.
Job-Ready Skills Development
Training focuses on hands-on skills required for Databricks, Spark pipelines, and Gen AI-based data applications used in real companies.
Flexible Learning Options
We offer online instructor-led training suitable for students and working professionals.
Certification After Course Completion
Students receive a Databricks with Gen AI course completion certificate from Innoture Digital Edge.
Beginner-Friendly Training
Even beginners can start from basics of data and gradually move into advanced Databricks and AI workflows.
Career Guidance and Mentorship
We guide students for Data Engineer, Analytics Engineer, and AI Engineer career paths.
High Demand for Databricks Professionals
Databricks and Spark skills are highly demanded in Data Engineering, AI, and Cloud Analytics roles across global companies.
Industry Expert Trainers in Data Engineering & AI
Live Instructor-Led Online Training
120+ Hours of Practical Hands-on Training
Real-Time Databricks & Spark Projects
Learn Databricks, Apache Spark, Delta Lake, SQL, Python
ETL Pipeline Development & Data Engineering Concepts
Git and GitHub Version Control Training
Resume Building and LinkedIn Optimization
Technical Mock Interviews for Data Roles
Career Guidance for Data Engineer & AI Engineer Roles
Placement Assistance for Eligible Students
Lifetime Access to Class Recordings
Beginner-Friendly Step-by-Step Learning
Industry-Oriented 3-Month Structured Program
Learn fundamentals of data engineering, including data types, pipelines, and how modern data systems work in cloud environments.
Understand SQL concepts including queries, joins, aggregations, and data transformation used in analytics and reporting systems.
Learn Python for data manipulation, analysis, and building ETL pipelines using Pandas and other libraries.
Work with large-scale data processing concepts including batch processing, streaming, and distributed computing.
Learn Spark for distributed data processing, including RDDs, DataFrames, Spark SQL, and performance optimization.
Understand Databricks workspace, notebooks, clusters, and how to build scalable data pipelines using Delta Lake.
Learn data lakehouse architecture, ACID transactions, time travel, and version control of big data.
Explore how Generative AI can be integrated into data pipelines for insights, automation, and intelligent analytics.
Work with cloud platforms like AWS, Azure, and GCP for storage, compute, and scalable data solutions.
Build real-world projects like streaming dashboards, data lakes, and AI-powered analytics systems.
A Data Engineer / Databricks Professional is responsible for building, managing, and optimizing large-scale data pipelines and analytics systems using tools like Databricks and Apache Spark.
Data Engineers design and build pipelines that move and transform data across systems using tools like Spark, SQL, Python, and cloud platforms.
Databricks provides a unified analytics platform for big data processing, machine learning, and AI workloads using Apache Spark and Delta Lake.
Professionals work with structured and unstructured data using cloud storage systems like AWS S3, Azure Data Lake, and GCP Storage.
Generative AI is integrated into data workflows to generate insights, automate analysis, and build intelligent data-driven applications.
| Feature | Java Full Stack | Databricks with Gen AI |
|---|---|---|
| Domain | Web & Application Development | Data Engineering & AI |
| Core Tech | Java, Spring Boot, React | Spark, Databricks, Python, Delta Lake |
| Focus | Frontend + Backend Applications | Data Pipelines & Analytics |
| Industry Usage | Enterprise Web Applications | Big Data, AI, Cloud Platforms |
| Job Roles | Full Stack Developer | Data Engineer, AI Engineer |
| Demand | Very High | Rapidly Growing |
Resume Building
Databricks Gen AI Training
Gen AI Interview Prep
Industry Internships
Real-Time AI Projects
Get Offer Letter
Interview Scheduling
Mock Interviews
Personality Development
Aptitude Preparation
Build an ATS-friendly resume highlighting Databricks, Apache Spark, Delta Lake, Data Engineering, AI, Machine Learning, and Generative AI projects.
Comprehensive placement training covering Databricks, Spark, PySpark, Delta Lake, MLflow, Unity Catalog, Prompt Engineering, LLMs, LangChain, Vector Databases, and Retrieval-Augmented Generation (RAG).
Practice company-specific interview questions on Databricks architecture, Spark optimization, Delta Lake, AI pipelines, LLM integration, Prompt Engineering, and coding challenges.
Work on enterprise-level projects involving Databricks Lakehouse, ETL pipelines, AI-powered analytics, chatbot development, document intelligence, and Generative AI applications.
Enhance communication, leadership, presentation skills, teamwork, and confidence to succeed in technical interviews and corporate environments.
Attend technical and HR mock interviews focused on Databricks, Spark, Data Engineering, AI, and Generative AI with detailed expert feedback.
Dedicated placement assistance for scheduling interviews with top product-based companies, startups, and MNCs hiring Databricks and AI professionals.
Receive complete placement support until you secure your offer letter, including salary negotiation guidance, HR discussions, onboarding support, and career mentoring.
Engineering students who want to build careers in Data Engineering, Big Data, Cloud Computing, and Artificial Intelligence can gain industry-ready skills through Databricks, Apache Spark, and Generative AI training.
Students from B.Sc, BCA, MCA, M.Sc, B.Tech, M.Tech, or other degree backgrounds interested in data and AI careers can start learning Databricks, PySpark, Delta Lake, and Generative AI from the basics.
Fresh graduates looking for high-demand IT careers can master Databricks, Data Engineering, Machine Learning, and Generative AI by working on real-world projects and industry use cases.
Job seekers aiming for roles such as Data Engineer, Big Data Engineer, AI Engineer, or Cloud Data Engineer can develop practical Databricks and Generative AI skills to improve placement opportunities.
Software developers, data analysts, BI professionals, ETL developers, and cloud engineers can upskill with Databricks Lakehouse, Apache Spark, MLflow, and AI technologies to accelerate career growth.
Professionals from non-IT or traditional IT domains who want to transition into Data Engineering and AI can learn Databricks and Generative AI through beginner-friendly, project-based training.
Anyone interested in Big Data, Artificial Intelligence, Machine Learning, LLMs, Prompt Engineering, LangChain, Vector Databases, Retrieval-Augmented Generation (RAG), and enterprise AI applications can confidently join this course.
Build scalable ETL pipelines, manage Lakehouse architecture, optimize Spark workloads, and process big data using Databricks, PySpark, and Delta Lake.
Develop AI-powered applications using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
Design, train, deploy, and monitor machine learning models using MLflow, Databricks Machine Learning, and cloud-based AI platforms.
Create intelligent business applications by integrating Generative AI APIs, chatbots, document intelligence, and enterprise AI solutions.
Develop reliable data pipelines, automate workflows, and manage structured and unstructured data using Databricks and cloud technologies.
Work with Apache Spark, Delta Lake, Kafka, and distributed computing technologies to process and analyze large-scale datasets efficiently.
Build modern cloud-based data platforms on Azure, AWS, or GCP using Databricks, data lakes, and AI-driven analytics solutions.
Design enterprise AI solutions by integrating LLMs, Vector Databases, LangChain, and intelligent automation into business applications.
Databricks professionals are highly in demand in the Data Engineering and AI industry. Companies need experts who can build scalable data pipelines, process big data, and integrate Gen AI solutions into real-world analytics systems.
Freshers
₹5 LPA to ₹9 LPA (Based on skills, projects, and company)
2–5 Years Experience
₹10 LPA to ₹20 LPA
Senior Data Engineers / AI Engineers
₹20 LPA or more in product-based companies and cloud organizations
India’s data-driven industry is rapidly growing with cloud platforms like Databricks being widely adopted for big data processing and AI workloads.
Companies are actively hiring professionals who can handle large-scale data pipelines, real-time analytics, and AI-powered data solutions.
Used for fraud detection, risk analytics, and financial forecasting systems.
Used for customer behavior analytics, recommendation systems, and real-time dashboards.
Used for patient data analytics, predictive healthcare systems, and AI diagnosis models.
Used for inventory optimization, sales forecasting, and customer segmentation.
Used for building scalable data platforms and AI-driven applications.
Used for big data pipelines, ETL automation, and machine learning workflows.
The demand for Data Engineers and AI professionals is growing rapidly across global companies. This is the right time to upskill in Databricks and Generative AI.
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.