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.
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 lead into guided practice, review and a workplace application.
How every module runs
Understand
Learn the decision model, vocabulary and expected standard.
Observe
Watch the trainer apply the method to a realistic example.
Practise
Complete a bounded task, lab, role play or working exercise.
Review
Use evidence and feedback to improve the output and define the next application.
Exercises use representative, non-sensitive examples. Outputs are produced during the workshop for practice and review; anything participants keep is their own working material.
Learn in bounded environments before touching production
Cloud labs are designed around reversible practice, least privilege and visible cost controls. Production access is never required for a standard exercise.
Vendor documentation is the source of truth for current service behaviour and certification scope. Client security, architecture and change controls still apply.
Use a training boundary
Practise in an approved sandbox or training account with no production data, workloads or credentials.
Apply least privilege
Grant only the access needed for the lab, avoid long-lived credentials and remove temporary resources when practice ends.
Watch spend and quotas
Set budgets or alerts where available, understand billable resources and verify that the clean-up step completed.
Verify before deployment
Review region, identity, networking, resilience, logging and organisational policy before adapting a lab pattern to production.
How the course is tailored and delivered
Private delivery is shaped around the organisation’s roles, starting level, systems, policies and situations participants must handle after training.
From first conversation to evaluation
Clarify the job outcome
Agree what participants should be able to explain, perform or produce after the programme.
Check the starting point
Review experience, tools, terminology and access so the course does not begin at the wrong level.
Select realistic practice
Choose useful scenarios and datasets without exposing confidential or restricted information.
Define completion evidence
Confirm the practical output, feedback method and follow-up expected from participants.
Delivery formats
Private corporate cohort
Best for: One organisation aligning participants around a shared platform or capability
Delivered live online or onsite. Scope, exercises, prerequisites, participant count and support are confirmed in the proposal.
Modular programme
Best for: Teams that need learning spaced around work and application
The core curriculum can be divided into shorter sessions with practice between modules. The agreed schedule and handover are documented before delivery.
Delivery modes
Live online
Facilitated sessions with demonstrations, breakout practice, review and shared working artefacts.
Onsite
Private delivery at the client location, with prerequisites and room or lab requirements agreed before the programme.
Practice, feedback and working sessions—not a slide marathon
Technovids training sessions in different group settings. The photographs do not attribute a particular client, course or outcome.
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
Technovids assigns a trainer whose subject depth and facilitation experience fit the audience and 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 a specific delivery is confirmed with the schedule or written proposal.
Updated
Organisations we have trained, and participant perspectives
Permissioned feedback and published client relationships provide context on delivery. They do not guarantee a certification, promotion, pipeline or business result.
Organisations we have delivered training for
Practical training programmes delivered for learners, professionals and teams across AI, data, cloud, productivity and professional skills.
Participant experiences across workplace roles
What professionals found useful, practical and relevant to 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 published course. The written proposal records any agreed customisation, delivery details and commercials.
Can AWS Cloud Practitioner Training be customised for our organisation?
Yes. Private programmes can reflect participant roles, starting level, approved systems, industry context and agreed workplace situations. The final agenda and outputs are documented in the proposal.
Can this be delivered onsite or live online?
Yes. Both modes are available for private cohorts. Dates, location, session pattern, participant count and technical or room prerequisites are confirmed in writing.
Is a Technovids completion certificate included?
Yes, for participants who meet the stated completion requirements. Each Technovids certificate has a unique ID that can be verified 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.