5-day programme · CLF-C02 aligned
AWS Cloud Practitioner Training
Build a clear AWS foundation, practise essential console workflows and prepare against the current CLF-C02 domains—without claiming that course attendance guarantees an exam result.
- Duration
- 5 days · 40 hours
- Platform
- Amazon Web Services
- Alignment
- AWS CLF-C02 domains
- Audience
- Technical and business roles
What is the AWS Cloud Practitioner Training course?
AWS Cloud Practitioner Training is a 40-hour corporate programme for technical and business professionals who need a shared AWS foundation. It covers cloud concepts, the shared-responsibility model, security and compliance, core services, architecture choices, pricing, billing and support. Guided labs connect the concepts to the AWS console, while exam-aligned review follows the current CLF-C02 domains. The AWS exam, registration fee and result remain separate from the Technovids course. Teams can take this AWS training in Bangalore at their office or live online anywhere in India, and it doubles as an AWS CLF-C02 course for those preparing for the exam.
Is this the right course for you or your team?
Who it is for
- IT and support professionals beginning an AWS learning path
- Business analysts, project managers, sales and pre-sales professionals working on cloud initiatives
- Cross-functional teams that need common AWS terminology
- Employees preparing for the AWS Certified Cloud Practitioner exam
Situations it fits
- Teams discuss AWS services without a shared foundation
- Managers need to understand cost, security and responsibility before a migration
- New cloud-project members need a structured starting point
- Exam candidates need guided review plus practical context
Prerequisites
- Basic familiarity with IT concepts is helpful
- No prior AWS experience is required
- Participants need a laptop and the agreed lab account or sandbox access
When a different course fits better
Choose by platform and job outcome.
- Google Cloud Platform Trainingfor hands-on Google Cloud operations and Associate Cloud Engineer preparation
- Microsoft Azure for Enterprise Teamsfor Azure foundations in a Microsoft-centred environment
The business problems this course addresses
The programme connects certification vocabulary to the decisions teams face in a cloud environment.
| Task | The usual problem | What participants practise |
|---|---|---|
| Choose a cloud service | Service names are memorised without understanding the workload need they address. | Compare compute, storage, database, networking and managed-service options against a simple requirement. |
| Discuss cloud security | Responsibility is treated as entirely the provider’s or entirely the customer’s. | Apply the shared-responsibility model and identify the customer control for a scenario. |
| Estimate cloud cost | Pricing is discussed without usage, commitment, data transfer or support context. | Identify the cost drivers, pricing model and monitoring step before recommending an option. |
| Prepare for CLF-C02 | Question practice is disconnected from weak topic areas. | Map answers to the official domains, explain the reasoning and build a targeted study plan. |
What participants will be able to do
Practise the skills below through course exercises, then check the results and explain how you would apply them to your work.
Explain AWS cloud value
Describe cloud benefits, deployment considerations and the AWS global-infrastructure model in business language.
Recognise core services
Connect common compute, storage, database, networking and analytics services to suitable scenarios.
Apply shared responsibility
Distinguish AWS and customer responsibilities for security, identity, data and configuration.
Discuss cost and support
Identify common pricing, billing, cost-management and support concepts without promising a fixed saving.
Navigate essential workflows
Use an approved lab account to inspect or create bounded resources and clean them up afterwards.
Plan exam preparation
Locate gaps against the CLF-C02 domains and define the next practice and self-study steps.
AWS services used to make the concepts concrete
The precise lab set is confirmed for the cohort and may change as AWS services evolve.
AWS Management Console
by Amazon Web ServicesGuided cloud navigation
- Regions and resources
- Identity and access
- Cost and monitoring views
- What to verify
- Use only the approved training account and remove billable lab resources.
AWS core services
by Amazon Web ServicesService-selection practice
- Compute and storage comparisons
- Database and networking concepts
- Architecture scenarios
- What to verify
- A service shown in a lab is not automatically the production recommendation.
AWS Pricing Calculator
by Amazon Web ServicesCost-estimation exercise
- Usage assumptions
- Cost-driver discussion
- Scenario comparison
- What to verify
- An estimate depends on correct usage, region and configuration assumptions.
5 days · 40 live hours
Detailed curriculum
5 modules, each pairing short instruction with guided practice. Sequence and examples can be adjusted after the training-needs discussion; the core outcomes stay the same.
Day 18 hours Cloud concepts and AWS foundations
- Cloud value and deployment models
- AWS Regions, Availability Zones and edge infrastructure
- Shared responsibility and the Well-Architected perspective
- Console navigation and resource basics
Practical activityInspect the environment and map a business requirement to cloud characteristics.
Day 28 hours Compute, storage, databases and networking
- EC2, containers and serverless concepts
- S3 and storage choices
- Relational and NoSQL database concepts
- VPC, delivery and connectivity basics
Practical activityBuild and explain a small, bounded architecture in the training environment.
Day 38 hours Security, identity and compliance
- IAM users, roles and policies
- Least privilege and account protection
- Encryption, monitoring and security services
- Compliance evidence and customer responsibility
Practical activityReview permissions for a scenario and correct an over-privileged design.
Day 48 hours Pricing, billing, support and cloud economics
- Consumption and commitment models
- Budgets, billing and cost visibility
- Support resources and plans
- Migration and total-cost assumptions
Practical activityCreate a transparent estimate and identify assumptions that could change it.
Day 58 hours Architecture review and CLF-C02 preparation
- Cross-domain scenario review
- Official exam domains and question patterns
- Practice assessment and explanation review
- Individual study plan
Practical activityComplete a timed diagnostic and turn weak areas into a practical revision plan.
Need the agenda built around your team’s work?
Share the roles attending and the tasks to improve. The proposal sets out the adapted agenda.
Exercises and practical outputs
Short explanations, then guided practice, review and a task from your own work.
How every module runs
Understand
Learn how to make the decision, the key terms and the standard expected.
Observe
Watch the trainer apply the method to a realistic example.
Practise
Do a short task, lab, role play or working exercise.
Review
Use evidence and feedback to improve your work and decide where to use it next.
Exercises use realistic examples with no sensitive data. What participants make in the workshop is for practice and review, and anything they keep is their own working material.
Practise in a safe space before you touch live systems
Cloud labs can be undone, use only the access they need and keep costs visible. No standard exercise needs access to your live systems.
The cloud vendor’s own documentation is the final word on how services work and what each certification covers. Your own security, design and change rules still apply.
Stay in a training account
Practise in an approved sandbox or training account, with no live data, workloads or passwords.
Give the least access needed
Grant only the access the lab needs, avoid long-lasting keys and delete temporary resources when you finish.
Watch spending and limits
Set budgets or alerts where you can, know what you are billed for and check that clean-up really finished.
Check before going live
Review region, identity, networking, resilience, logging and company policy before using a lab pattern for real.
How the course is tailored and delivered
We shape private training around your roles, starting level, systems, policies and the situations your people must handle afterwards.
From first conversation to evaluation
Agree the job outcome
Agree what your people should be able to explain, do or produce after the programme.
Check the starting point
Look at experience, tools, terms and access, so the course does not start at the wrong level.
Pick realistic practice
Choose useful scenarios and data without exposing anything confidential or restricted.
Agree how completion is shown
Confirm the practical output, how feedback is given and the follow-up expected.
Delivery formats
Private corporate cohort
Best for: One company building the same skills or platform know-how across a team
Live online or at your office. The proposal confirms the scope, exercises, prerequisites, group size and support.
Modular programme
Best for: Teams that need to fit learning around their work
The course can be split into shorter sessions, with practice in between. The schedule and handover are agreed in writing before we start.
Delivery modes
Live online
Trainer-led sessions with demos, group practice, review and shared documents.
Onsite
Private training at your office, with prerequisites and room or lab needs agreed beforehand.
Practice, feedback and working sessions—not a slide marathon
Technovids training sessions with different groups. The photos do not name a client, course or result.
Photo 1 of 10: Hands-on session 
Photo 2 of 10: Group photo 
Photo 3 of 10: Hands-on session 
Photo 4 of 10: Group photo 
Photo 5 of 10: Classroom session 
Photo 6 of 10: Group photo 
Photo 7 of 10: Computer-lab session 
Photo 8 of 10: Group photo 
Photo 9 of 10: Classroom session 
Photo 10 of 10: Group photo
For L&D and procurement teams
The published course parameters on one page. Final scope, dates and fees are confirmed in the written proposal.
Discuss your team’s requirements| Course | AWS Cloud Practitioner Training |
|---|---|
| Duration | 40 live hours across 5 days or an agreed modular schedule |
| Level | Foundation; no prior AWS experience required |
| Audience | Technical professionals, project roles, business stakeholders and CLF-C02 candidates |
| Lab access | Training account or approved sandbox arrangements confirmed in the proposal |
| Certification boundary | Technovids completion certificate; AWS exam and fee are separate |
Who may deliver this programme
We choose a trainer whose subject knowledge and teaching experience suit your group and the agreed scope.
Pankaj Rana
Co-founder & Lead Instructor, Technovids Consulting
Pankaj is a co-founder and the lead instructor at Technovids Consulting. His programme work spans practical AI adoption, AI engineering, evaluation, responsible production AI, data analytics and corporate learning design, with an emphasis on hands-on exercises connected to workplace tasks.
Expertise:
- Practical AI adoption
- Prompting and evaluation
- Responsible AI
- Corporate learning design
Junaid Khateeb
AI & Machine Learning Trainer, Strategist and Consultant
Junaid is an AI and machine-learning trainer, strategist and consultant with more than 22 years of training experience. His work combines enterprise AI education, business-centred adoption, responsible AI practices and applied solution design, helping professional audiences connect AI concepts to real organisational needs.
M.E. in Computer Engineering, specialising in Artificial Intelligence · author of programming books on Python, Java and C++
Expertise:
- Enterprise AI and ML training
- AI strategy and adoption
- Responsible AI
- Applied AI solution design
Pradeep Varadarajan
Technical Trainer & Curriculum Architect
Pradeep is a technical trainer and curriculum architect with more than 20 years of experience across enterprise technology, cloud infrastructure and advanced AI systems. He designs practitioner-focused programmes, labs and assessments covering AI, LLM systems, Python and machine learning, translating complex technical subjects into structured learning experiences.
Bachelor of Engineering in Electrical Engineering · instructor-led, virtual and blended delivery
Expertise:
- AI and LLM systems
- Curriculum architecture
- Python and machine learning
- Hands-on lab design
The trainer for your sessions is confirmed with the dates or in the written proposal.
To book a trainer for your team, call +91 86183 46384 or email [email protected].
Updated
Organisations we have trained, and participant perspectives
Feedback shared with permission, and clients who agreed to be named, show how we deliver. They are not a promise of a certification, promotion, sales or any other result.
Organisations we have delivered training for
Hands-on training for people and teams in AI, data, cloud, productivity and workplace skills.
Participant experiences across workplace roles
What people we trained found useful in their day-to-day work.
- Gauraw DeshmukhData Engineer · Capgemini
Technovids AI training was very practical and well structured. The sessions helped me understand how AI concepts can be applied in real data engineering and business workflows, instead of only learning theory. The trainer explained the topics clearly with relevant examples, which made the learning experience valuable and easy to follow.
- PriyanshaSoftware Developer
The AI training from Technovids helped me gain a better understanding of Generative AI, prompt engineering, and practical AI use cases for software development. The course was clear, interactive, and focused on real-world applications. It gave me confidence to explore AI tools more effectively in my work.
- Sidda RajuData Engineer
Technovids delivered the AI training in a very practical and industry-relevant way. As a data engineer, I found the examples and hands-on discussions useful for understanding how AI can improve data workflows, automation, and decision-making. The sessions were well planned and easy to understand.
- Akshat KabraData Engineer
The AI training program by Technovids was insightful and professionally delivered. It covered important AI concepts in a simple and practical manner, with examples that connected well with data and analytics use cases. The sessions helped me build a stronger foundation in applying AI in real business scenarios.
- MangeshSoftware Engineer · Siemens
Technovids conducted the AI training in a very effective and engaging manner. The sessions were practical, easy to follow, and focused on how AI can be used in real software engineering and business workflows. It was a valuable program for understanding the current direction of AI adoption in the industry.
- ReshuSoftware Developer
Technovids AI training was a very useful learning experience. The course explained AI concepts in a practical way and showed how developers can use AI tools to improve productivity, problem-solving, and application development. The trainer's approach was simple, clear, and focused on industry use cases.
Common questions before planning this course
Answers about the course as published. Your written proposal records any changes we agree, how it is delivered and the price.
Can AWS Cloud Practitioner Training be customised for our organisation?
Yes. Private programmes can reflect your roles, starting level, approved systems, industry and the work situations we agree. The proposal records the final agenda and outputs.
Can this be delivered onsite or live online?
Yes. Private groups can choose either. Dates, location, session plan, group size and any technical or room needs are confirmed in writing.
Is a Technovids completion certificate included?
Yes, for people who meet the completion requirements. Each Technovids certificate has a unique ID you can check on the Technovids website. It is not a cloud-vendor or professional-body certification.
Is this official AWS training?
It is a Technovids instructor-led programme aligned to the current AWS Certified Cloud Practitioner CLF-C02 domains. It is not described as AWS-authored or as an exam guarantee.
Does the fee include the AWS exam voucher?
No voucher is assumed. If voucher procurement is requested, its availability, price and terms must be confirmed separately in the written proposal.
Will this course guarantee that participants pass CLF-C02?
No. The course supports preparation through structured coverage and practice, but the result depends on each candidate’s readiness, self-study and performance in the independent AWS exam.
Is this suitable for non-technical roles?
Yes for roles that need cloud literacy, cost, security or project context. Labs are guided, and the programme does not require software development.
Turn a training requirement into a clear course proposal
Share the audience, team size, delivery preference and the work you want to improve. Technovids will scope the programme and confirm the details in a written proposal.
Request received
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