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Quality Thought provides practical LLM evaluation corporate training for QA leads, test managers, and corporate teams looking to build reliable approaches for testing and evaluating LLMs, RAG systems, AI agents, and AI-generated outputs. The training focuses on practical evaluation, testing strategy, security, and quality assessment for AI systems.
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Everything you need to know before enrolling in Gen AI Testing our program
Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.
Comprehensive modules covering AI testing, LLM evaluation, security, RAG, AI agents, automation, and practical Gen AI testing workflows. Explore our courses to discover more learning opportunities.
Special Note: Professionals looking for a generative AI testing course can explore the India-focused program. Manual testing professionals can explore AI testing for manual testers, while automation and API testing professionals can explore the LLM test automation course. Professionals moving from automation testing can also explore automation tester to AI testing skills.
Comprehensive modules covering AI testing, LLM evaluation, security, RAG, AI agents, automation, and practical Gen AI testing workflows.
● Difference between traditional software and AI systems
● AI application architecture: Model → Prompt → App → UI
● Probabilistic outputs vs deterministic validation
● AI defect categories overview
● AI testing lifecycle and evaluation approach
● Tokens, context window, and cost
● Temperature and randomness control
● Prompt engineering basics
● RAG vs Fine-tuning
● LLM inference pipeline
● Hallucination detection
● Prompt injection attacks
● Bias and fairness
● Inconsistent behavior
● AI bug reporting
● AI test case format
● Evaluation criteria design
● Statistical testing
● Boundary and edge cases
● Test library creation
● Oracle design
● Golden datasets
● Open vs closed domain testing
● Rate measurement
● Reporting
● OWASP LLM Top 10
● Injection testing
● Jailbreaking
● RAG poisoning
● Security reporting
● Bias taxonomy
● Counterfactual testing
● Statistical validation
● Consistency testing
● Compliance
● RAG architecture testing
● Context validation
● RAGAS metrics
● Negative testing
● Source attribution
● Agent architecture
● Tool testing
● Memory testing
● Multi-agent validation
● Trace debugging
● Threat modeling
● Jailbreak testing
● Adversarial testing
● Toxicity testing
● Report writing
● Python basics
● API testing
● Async testing
● Environment management
● Error handling
● Test structure
● Fixtures
● Mocking
● Reporting
● Test pyramid
● Evaluation metrics
● Custom metrics
● Dataset creation
● Integration
● CI gating
● Pipeline setup
● Metrics
● Dataset creation
● Regression testing
● CI integration
● Versioning
● Regression testing
● A/B testing
● Adversarial testing
● Optimization
● Framework setup
● Unit testing
● State testing
● Trace assertions
● Regression testing
Hands-On Project Training
Your success is our priority. Here’s what makes us the best choice for your career growth
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
Flexible payment options including pay after placement for eligible candidates
Quality Thought helps QA professionals and teams build practical AI testing capabilities. Organisations can strengthen their teams through structured learning and practical gen ai Testing real-time project experience, while individual learners can also explore the gen ai Testing internship course, gen ai Testing job guarantee course and generative AI testing training in Hyderabad for classroom-based learning.
Professionals exploring AI testing credentials often ask, is there a generative AI testing certification available for this emerging field? Understanding the difference between certification and practical AI testing experience can help organisations and QA professionals choose the right learning path.
AI Powered Testing Program
This certifies that
[Your Name]
has successfully completed the
AI Powered Testing Program
Training Program
Ameerpet, Hyderabad
QT-2024-XXXX
Our certificates are recognized by leading companies and add credibility to your resume
Proves your expertise in AI Powered Testing in all mentioned technologies
Increases your chances of getting hired and helps in salary negotiations
Get both digital certificate for online sharing and physical certificate for framing
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
Find answers to common questions about our Gen AI testing & training program.
Yes, Quality Thought delivers customised corporate training for QA and engineering teams that need to test AI features, on-site in Hyderabad or online for distributed teams.
Yes, that is the most common corporate engagement: establishing what “acceptable” means for your use case, building golden datasets from your own data, choosing metrics and thresholds, and producing release criteria the business will accept.
Yes, working on your own system rather than a generic example is the standard approach and is what makes the engagement transfer into practice.
Yes, including sampling strategy, annotation guidelines, handling disagreement between reviewers, and keeping the dataset current as the product changes.
Yes, covering prompt injection and jailbreak techniques, adversarial case design, PII leakage checks, and toxicity and bias testing, with tooling support alongside manual design.
Yes, and it is often the most valuable deliverable: a written strategy covering scope, metrics, thresholds, evaluation cadence, escalation and sign-off, which is what auditors and stakeholders actually ask for. This type of work can also help QA professionals understand will AI replace software testers and how AI changes testing responsibilities.
Confirm current minimum and maximum cohort sizes for corporate engagements.
Corporate pricing is quoted per engagement based on the training requirements, team needs and delivery format. Organisations comparing available AI testing learning options can also explore the best AI testing course 2026.
Yes, corporate batches can be scheduled around client working patterns, including split-week and half-day formats. Organisations looking for a more intensive learning format can also explore the gen ai Testing bootcamp course.
Yes, the available post-engagement support can be structured around the agreed corporate training arrangement. The skills developed can also support QA professionals exploring emerging AI-focused opportunities, including AI QA engineer jobs USA.
Don’t wait. Get trained with comprehensive, hands-on training in AI and QA Engineering. Your journey to becoming an AI-enabled QA Engineer or Test Automation expert starts here.
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