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Training & Enablement

Upskill Your Teams with Real-World Expertise

Our training programs are designed and delivered by practitioners who build production systems every day — not theoretical instructors.

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500+
Professionals Trained
15+
Training Tracks
4
Delivery Modes
95%
Completion Rate
Training Tracks

Programs Designed for Production-Ready Engineers

Every track is built around real use cases, hands-on labs, and the tools your team will actually use on the job — not academic exercises.

Intermediate

Big Data Engineering

5 Days / 40 Hours Corporate / Remote / Classroom
Curriculum Highlights
Hadoop HDFS — architecture, storage, and cluster management
Apache Spark — Core, Spark SQL, and Structured Streaming
Apache Kafka — producers, consumers, topics, and Kafka Streams
Hive & Impala — data warehousing and query optimization
Apache NiFi — data flow automation and ingestion pipelines
Data Lake & Lakehouse architecture patterns (Delta, Iceberg)
Ideal for: Data Engineers, ETL Developers, Database Administrators
Beginner to Advanced

Cloud Computing & Architecture

5 Days / 40 Hours Corporate / Remote
Curriculum Highlights
AWS core services — EC2, S3, RDS, Lambda, EMR, VPC
Azure services — ADF, Synapse Analytics, AKS, Azure Monitor
GCP services — BigQuery, Dataproc, Cloud Storage, Pub/Sub
Cloud security — IAM, policies, network security, encryption
FinOps fundamentals — cost allocation, rightsizing, budgeting
Multi-cloud architecture patterns and landing zone design
Ideal for: Cloud Engineers, Solutions Architects, IT Managers
Intermediate

DevOps & Platform Engineering

4 Days / 32 Hours Corporate / Hands-on Lab
Curriculum Highlights
Docker & Kubernetes — containerization, orchestration, Helm charts
Terraform & Ansible — infrastructure as code and configuration management
Jenkins & GitHub Actions — CI/CD pipeline design and best practices
Prometheus & Grafana — metrics collection and dashboard visualization
ELK Stack — centralized logging, log analysis, and alerting
SRE principles — error budgets, SLOs, SLIs, toil reduction
Ideal for: DevOps Engineers, Site Reliability Engineers, Software Developers
Intermediate to Advanced

AI & Machine Learning

5 Days / 40 Hours Corporate / Remote
Curriculum Highlights
Python for ML — NumPy, Pandas, Matplotlib, data preparation
Scikit-learn & XGBoost — classical ML algorithms, ensembles, tuning
TensorFlow & PyTorch — deep learning, neural network architectures
MLflow & Kubeflow — experiment tracking, model registry, MLOps pipelines
LLM basics & prompt engineering — GPT, BERT, RAG patterns
Responsible AI — fairness, bias detection, explainability, governance
Ideal for: Data Scientists, ML Engineers, Analytics Teams
Why RadiCorp Training

Not a Training Firm. A Team of Practitioners Who Train.

Every feature of our training programs is designed around one question: will this help engineers solve real production problems faster?

Built by Practitioners
The same engineers who deliver client projects teach the training. Real stories, real problems, real solutions — drawn from actual production environments across Big Data, Cloud, DevOps, and AI/ML.
Hands-On Labs
Every concept is reinforced with hands-on labs using real datasets and production-like environments. Participants leave with practical skills they can immediately apply — not just theory they've memorized.
Customized Curriculum
We tailor every program to your team's current skill level, existing tech stack, and business context. A pre-training needs assessment ensures zero time is wasted on irrelevant material.
Flexible Delivery
Corporate classroom, remote live sessions, intensive bootcamps, or blended learning — whatever works for your team. We've successfully trained distributed teams across India, Southeast Asia, and the Middle East.
Delivery Modes

Training That Fits Your Team's Reality

We work around your schedule, location, and budget — not the other way around.

Corporate Classroom

On-site delivery at your office. Ideal for full teams who benefit from shared lab environments, face-to-face interaction, and minimal travel.

On-site Team-based

Virtual / Remote

Live instructor-led sessions over video with collaborative labs, breakout exercises, and async support materials — no travel required.

Live Online Async Support

Bootcamp

Intensive multi-day immersive format for fast skill ramp-up. Full-day sessions combining instruction and project-based labs for rapid capability building.

Intensive Project-Based

Custom Blended

A mix of classroom, remote, self-paced modules, and mentored labs — designed specifically for teams with varying schedules or multi-location requirements.

Hybrid Self-Paced
Target Audience

Who Should Attend

Our training programs serve engineers, architects, and leaders at all levels — from individual contributors to engineering managers building high-performing data teams.

Data Engineers

Professionals building ETL pipelines, data lakes, and streaming architectures who want to deepen their Spark, Kafka, and Hadoop expertise.

Cloud Architects

Engineers designing and managing cloud infrastructure on AWS, Azure, or GCP who need to upskill in multi-cloud patterns, security, or FinOps.

DevOps Engineers

Platform and infrastructure engineers looking to master Kubernetes, IaC, CI/CD pipelines, and SRE practices for modern cloud-native delivery.

Data Scientists

ML practitioners who want to advance from prototype to production — learning MLOps, model monitoring, and deploying LLM-powered applications at scale.

Engineering Managers

Team leads and managers overseeing data or cloud teams who need enough technical depth to make informed decisions, set direction, and evaluate work effectively.

IT Leaders

CTOs, VPs of Engineering, and IT Directors looking to upskill their entire organization ahead of a cloud migration, data modernization, or AI adoption initiative.

Common Questions

Frequently Asked Questions

Everything you need to know about RadiCorp's training programs before getting in touch.

Yes — we always tailor the curriculum to your team's existing tools, skill gaps, and business objectives. We conduct a pre-training needs assessment for every corporate engagement. This ensures we focus exactly on the skills and technologies your team will actually use, eliminating time spent on irrelevant content and maximizing the ROI of the training investment.
We provide RadiCorp training completion certificates for all participants who successfully complete the program. We also structure our programs to align with official cloud certifications (AWS, Azure, GCP) and Apache Software Foundation frameworks — meaning the skills gained directly support your team's pursuit of industry-recognized credentials. Our trainers can advise on recommended certification pathways for each track.
We work with teams of 5 to 100+ participants. For smaller groups, we offer public cohort sessions where individuals from different organizations learn together in a structured, instructor-led format. Public cohorts are scheduled regularly across our core tracks — contact us to see upcoming dates and availability.
Absolutely. Our remote delivery uses live instructor-led sessions, collaborative labs, and async materials — providing the same hands-on depth as in-person delivery. We've successfully trained distributed teams across India, Southeast Asia, and the Middle East. Our remote lab environments are pre-configured so participants spend time learning, not setting up tooling.
Ready to Upskill Your Team?

Let's Design a Program That Fits Your Team

Contact us to discuss your training requirements and we'll design a program that fits your team's skill level, stack, and schedule perfectly.

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