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COURSE COLLECTION
78 courses found
Understand Generative AI, practise effective prompting and discover practical ways to use it in everyday work.
Apply AI to writing, research, planning and analysis to complete everyday work with greater speed and clarity.
Understand Generative AI application components and combine them to create useful solutions for real business needs.
Understand common threats, security controls and basic risk analysis required for entry-level cybersecurity roles.
Explore how AI detects threats, strengthens cyber defence and introduces new risks that security teams must manage.
Understand how data is collected, cleaned and stored to prepare reliable inputs for effective AI systems.
Understand how agents reason and use tools, then build a workflow that automates a practical task.
Apply AI across planning, coding, testing and documentation to improve software quality and developer productivity.
Understand cloud infrastructure and delivery pipelines used to deploy, scale and operate reliable AI applications.
Explore how organisations apply AI across industries to improve decisions, customer services and daily operations.
Design scalable data workflows and understand why dependable platforms are essential for production AI solutions.
Use AI for requirements, coding and review while maintaining the disciplined practices needed for quality software.
Learn the think-act-observe pattern and build a beginner-friendly agent for useful multi-step task automation.
Containerise AI applications and use Kubernetes concepts to deploy them consistently and scale beyond local development.
Understand sensors, connected devices and networks, then map the complete data flow of an IoT system.
Understand streaming architecture and build real-time data pipelines that support responsive AI applications.
Understand EV batteries, motors, controllers and charging systems—and how they work together in modern vehicles.
Design agents with tools, memory and control logic to automate complex workflows reliably and responsibly.
Understand digital payments, modern banking and financial platforms through services people use every day.
Understand chip design, digital circuits and integrated systems while discovering where VLSI careers begin.
Understand relational databases, create structured tables and write essential SQL queries used across technology roles.
Understand arrays, stacks, queues and trees, then apply them to solve common programming problems efficiently.
Learn Python fundamentals with AI-assisted practice, clear coding examples and practical problem-solving workflows for modern development.
Build a strong Java foundation through Tamil-first explanations, object-oriented programming concepts and practical coding exercises.
Apply SQL, data modelling and query design to create dependable datasets for analytics and data pipelines.
Apply essential structures and algorithms to solve problems and strengthen the coding foundation needed for AI development.
Understand services, data flow and scalability, then design clear architectures for modern software and AI applications.
Understand processes, memory and files—and connect operating-system behaviour to software, cloud and interview concepts.
Explore how AI identifies molecules, predicts properties and accelerates early-stage medicine research.
Understand sensors, computer vision and autonomous navigation used in agriculture, inspection, logistics and safety.
Understand vulnerabilities, ethical testing and defensive thinking to build a responsible foundation for cybersecurity roles.
Apply AI to perception, control and automation across intelligent robots, industrial systems and autonomous machines.
Understand sensors, controllers and robot movement while connecting introductory AI concepts to intelligent automation.
Understand protocols, IP addressing and connectivity used to troubleshoot computer and cloud communication.
Design virtual networks, routing and security controls that keep cloud applications connected, protected and scalable.
Build a focused resume, professional profile and interview plan for approaching entry-level opportunities confidently.
Understand MCP architecture and connect AI models to external tools and data for controlled, useful actions.
Understand retrieval and grounding, then design a RAG flow that answers from trusted knowledge sources.
Understand how embeddings represent meaning and enable semantic search within Generative AI applications.
Explore AWS Bedrock services and use foundation models to design practical, secure Generative AI solutions.
Understand Google Cloud compute, storage and resource concepts while planning a basic cloud solution.
Compare AWS, Azure and Google Cloud through shared compute, storage and networking foundations.
Understand Claude AI, practise prompting and apply it to writing, research, learning and introductory coding.
Identify a meaningful problem, validate it with users and shape an AI-assisted or no-code MVP.
Learn Linux for cloud and DevOps through the command line, file management and shell scripting, with practical exposure to AWS, Azure, Google Cloud, Docker and Kubernetes.
Build a clear foundation in cloud computing and the essential AWS concepts covered by the AWS Certified Cloud Practitioner certification.
Learn to build, manage and deploy applications with Docker containers through practical, Tamil-friendly lessons for aspiring DevOps engineers.
Build, deploy and manage Kubernetes clusters, configure workloads and practise scalable deployment skills used in real-world DevOps environments.
Learn Jenkins through hands-on Tamil lessons and build the continuous integration and delivery skills used in modern DevOps workflows.
Learn Git and GitHub for a DevOps workflow; the course begins with AWS account and Linux EC2 setup before Git installation and commands.
Start with HTML, CSS and JavaScript, then explore the course sections on Node.js, Bootstrap and source code.
Learn the cloud concepts, Azure services, governance and pricing knowledge needed to prepare for the AZ-900 Microsoft Azure Fundamentals exam.
Learn React foundations, project setup, components, props, rendering and event handling in Tamil-friendly lessons.
Build a task manager with MongoDB, Express, React and Node.js. Know HTML, CSS, JavaScript and React before starting.
Follow a practical roadmap covering Python, data science foundations and AI concepts, with beginner-friendly explanations and guided exercises.
Learn essential data analysis with NumPy and Pandas, from working with arrays and tables to cleaning and exploring real datasets.
Learn FastAPI with simple English and Tamil-friendly explanations, then build APIs that can power practical AI applications.
Learn retrieval-augmented generation through beginner-friendly, Tamil-supported lessons and build practical skills for grounded AI applications.
Practise AI, machine learning and responsible-AI concepts before the AWS certification exam.
Test your knowledge of ML data, model development, deployment and operational workflows.
Practise delivery automation, monitoring, security and resilient AWS operations.
Review AWS deployment, management, monitoring and troubleshooting through focused practice.
Prepare for advanced architecture decisions covering scale, migration, security and cost.
Practise AWS development, deployment, debugging and service-integration concepts.
Review data ingestion, transformation, orchestration, storage and governance on AWS.
Build confidence in AI workloads, machine learning and Azure AI service fundamentals.
Practise relational, non-relational, analytics and modern Azure data concepts.
Review identities, storage, compute, networking and monitoring for Azure administration.
Practise Azure AI solutions, search and generative AI workloads before the exam.
Strengthen Azure data storage, processing, security and monitoring knowledge.
Check your knowledge of cloud concepts, Azure services, governance, pricing and support.
Practise deploying, operating and securing solutions across Google Cloud services.
Prepare to connect generative AI capabilities with practical business value and adoption.
Progress from AI foundations to LLMs, RAG, agents and practical real-world AI applications through one connected journey.
Build connected capability across SQL, data modelling, modern pipelines and real-time AI data workflows.
Prepare for your first technology role with core interview concepts, guided practice and a focused fresher placement strategy.
Follow a structured DevOps journey across CI/CD, containers, Terraform, Kubernetes, monitoring and SRE practices.
Build practical foundations across AWS, Azure, Linux, cloud networking, virtualisation and security.
MEMBERSHIP + DIRECT FOUNDER GUIDANCE
Membership gives you more than course access. Learn across eligible AI and technology courses, then connect with Sathish Kumar for personal direction on what to learn, how to build your career and how to present your skills with confidence.
Learning roadmap · Career direction · Resume optimisation · Project feedback
LEARN ANYWHERE. BUILD PRACTICALLY.
MaanavaN combines explanation, exploration and hands-on application in one mobile experience. Start with a concept, understand it visually, build with guidance and validate what you learned.
From core concepts to your first practical application
YOUR LEARNING FLOW
7 guided steps · Beginner friendly
ONE INTEGRATED ECOSYSTEM
Structured learning meets live enablement, practical delivery and measurable progress.
Claude, Gemini, ChatGPT, AI agents, MCP and applied workflows.
Explore capabilityModern software engineering with AI coding tools and guided projects.
Explore capabilityRole-aligned pathways across AWS, Azure, GCP, DevOps and analytics.
Explore capabilityBUILT FOR EVERY STAKEHOLDER
FOR LEARNERS
Tamil-first courses, structured pathways, live guidance and practical projects for every stage of your career.
Explore learningFOR INSTITUTIONS
Student upskilling, faculty enablement, value-added programs, assessments and measurable institutional outcomes.
Explore institutional solutionsFOR PARTNERS
Co-created programs, technology adoption and scalable delivery for industry and ecosystem partners.
Partner with MaanavaNCAMPUS STARTUP & INCUBATION
Move students beyond entrepreneurship awareness. MaanavaN guides teams from problem discovery and customer validation to AI-assisted MVP development, startup pitching and incubation readiness.
Outcome: validated teams ready for mentoring, incubation and Demo Day.
HOW WE DELIVER
From first exposure to demonstrable capability, every program is built around progression and evidence.
Awareness & orientation
Structured learning & guided labs
Projects, assessments & outcomes
BUILD WITH MAANAVAN
Partner with us on institutional adoption, co-branded programs, workforce enablement and scalable learning delivery.