CHOOSE YOUR NEXT STEP
Read simple guides about skills and career choices before choosing a path.
Read learning guides LEARN A CONCEPTUnderstand one technology through a short lesson, visual flow and familiar example.
Browse handbooks BUILD A SKILLFilter courses by topic and level, then check the details before enrolling.
Search coursesSearch by course name, technology, skill or certification code.
COURSE COLLECTION
68 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 lessons taught in Tamil 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 through Tamil explanations that keep essential English coding terms, then build APIs for practical AI applications.
Learn retrieval-augmented generation through beginner-friendly lessons taught in Tamil, with English AI terms explained clearly.
Practise AI, machine learning and responsible-AI concepts before the AWS certification exam.
Practise delivery automation, monitoring, security and resilient AWS operations.
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.
Practise relational, non-relational, analytics and modern Azure data concepts.
Review identities, storage, compute, networking and monitoring for Azure administration.
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.
TAMIL LEARNING WITHOUT BORDERS
MaanavaN helps Tamil-speaking students, freshers and working professionals understand modern technology through Tamil-first explanations while retaining the English technical vocabulary used in projects, certifications and careers.
Join online from India, Sri Lanka, Singapore, Malaysia, the UAE, the UK, Europe, the United States, Canada or Australia. Learn with clarity and build technology skills that travel with you worldwide.
CAREER LEARNING PATHS
Each path brings related skills into one guided journey—from understanding the foundations to applying them in practical career scenarios.
Python and AI foundations
LLMs, RAG and AI agents
Building real AI applications
SQL and data modelling
ETL, ELT and orchestration
Batch and real-time data pipelines
Data structures and algorithms
Core CS, programming and SQL
Aptitude, resume and interview practice
Git and CI/CD workflows
Docker, Kubernetes and Terraform
Monitoring, observability and SRE
Linux administration
AWS and Azure core services
Cloud networking and security
FOR COLLEGES & ORGANISATIONS
Curated course access, department pathways, learner assessments, progress tracking and institutional reporting.