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MindMajix’s generative AI training provides you with the practical skills to build and deploy AI-driven applications using advanced generative models. Through the training, you will learn about generative AI foundational models, LLMs, and prompting in depth.
Course Coverage
No AI or data-science degree required to start. Whether you're new to tech or moving in from a non-IT role, MindMajix offers a structured path to learn Generative AI — from prompt engineering and foundation-model fundamentals to hands-on LLM, RAG, and diffusion-model work.
Your Course Journey — From Enrolment to Career Readiness
A step-by-step path from generative AI fundamentals to job-ready across prompt engineering, LLMs, and image models, for various roles in AI.
Pick live online or self-paced, activate your LMS, and get a guided lab environment set up — LLM tools and a Google Cloud Vertex AI workspace — so you can practise from day one.
Work through 30 hours covering prompt engineering, LLMs and transformers, GANs, diffusion and image models, and responsible AI — applied in hands-on labs and real-time projects with one dedicated trainer.
Clear the multiple-choice assessments for your shareable MindMajix completion certificate. Modules map to Google Cloud Generative AI Leader and AWS AIP-C01 exam topics for exam-aligned prep; vendor exams are booked separately.
Turn skills into a profile recruiters notice — build an interview-ready resume and a strong LinkedIn presence using proven Generative AI and prompt-engineering resume templates.
Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on prompt engineering, LLM and transformer concepts, image models, and responsible-AI scenarios.
Apply with confidence using job-search assistance and referrals to hiring partners across India and the USA. (Career support provided; placement not guaranteed.)
Start the journey today - choose the format that fits you.
Our Generative AI course curriculum includes core modules to equip learners with industry-respected Generative AI skills. The comprehensive course content includes hands-on labs, real-time projects, and industry examples to deepen your knowledge of Generative AI and help you excel in real-world environments.
Our Generative AI Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Training OptionsBoth options cover the full curriculum and include most of the certification topics
Learn anytime, at your own pace — complete the course in weeks or months.
Get Pricing
Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready
07:00 PM ET · Weekday · Limited seats available
30 hrs · Live online · Recordings included
2 weeks · 30 hrs total
3 weekends · 30 hrs total
Need a different time? We offer and at any timezone. Contact a course advisor to set one up.
Empower your team with new skills to Enhance their performance and productivity.
Course Completion Certification:
MindMajix offers you a generative AI course completion certificate once you complete all the assessments and quizzes conducted by us.
Generative AI Certifications:
Our generative AI course curriculum aligns with the key Generative AI certification exams. The training helps you gain the skills and confidence needed to pass the exams
The table below maps the Generative AI Certification exam blueprints to the corresponding MindMajix course modules to support exam preparation.
| Certification Exam | Exam Topics | MindMajix Modules |
| AWS Certified Generative AI Developer – Professional (AIP-C01) | Foundation Model Integration, Data Management, and Compliance |
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| Implementation and Integration |
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| AI Safety, Security, and Governance |
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| Google Cloud Generative AI Leader | Fundamentals of Gen AI |
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| Google Cloud’s Gen AI offerings | Image Model | |
| Techniques to improve the Gen AI model output |
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| Business strategies for a successful Gen AI solution | Ethical Issues and Limitations |
Last reviewed: 11 Dec 2025 · Sources: AIP-C01, Google Cloud Generative AI Leader
Five progressive stages from Python and prompt-engineering foundations to enterprise Generative AI architect, with typical India (LPA) and USA (USD) salary ranges for 2026. Current GenAI credentials are Google Cloud Generative AI Leader (USD 99), AWS Certified AI Practitioner (AIF-C01, USD 100), NVIDIA NCA-GENL (USD 125), Microsoft AI-103 (USD 165), Databricks Generative AI Engineer Associate (USD 200), NVIDIA NCP-GENL (USD 200) and AWS Certified Generative AI Developer - Professional (AIP-C01, USD 300). No vendor offers a Generative AI architect exam - Stage 5 is an experience-based milestone.
Build the base. Learn Python and data handling, how transformers and LLMs actually work, and disciplined prompt engineering across ChatGPT, Claude and Gemini. Two optional first credentials: Google Cloud Generative AI Leader (no coding, 90 minutes) or AWS Certified AI Practitioner (AIF-C01). No AI background needed.
Build real GenAI applications: LLM APIs, embeddings and chunking, RAG over vector databases, LangChain or LlamaIndex orchestration, plus guardrails and output evaluation. Validated by NVIDIA NCA-GENL (USD 125, 50–60 questions, 60 minutes) or Microsoft AI-103 (USD 165, 120 minutes, 700/1000) — the successor to AI-102, retired 30 June 2026.
Take GenAI to production. Fine-tune with LoRA and PEFT, build agentic workflows, serve and monitor models, and control inference cost. Anchored by the Databricks Certified Generative AI Engineer Associate (USD 200, 45 scored questions, 90 minutes) and AWS Certified Generative AI Developer – Professional (AIP-C01, USD 300, 750/1000 to pass, 3-year validity).
Lead delivery across teams: multi-agent orchestration, distributed training and fine-tuning at scale, inference cost optimisation, security and AI governance. NVIDIA NCP-GENL (USD 200, professional tier, 2 hours) is the closest matching exam; seniority here is largely an experience-based milestone, not a certification.
Own enterprise AI strategy: model and platform selection, data and RAG architecture, security, compliance and cost governance across hybrid and multi-cloud estates. No major vendor offers a Generative AI architect exam — an experience-based milestone, typically 8+ years across data, cloud and ML, often backed by a cloud architect certification.
Outcome: an honest path from Python beginner to enterprise Generative AI architect, covering every current vendor GenAI credential plus the engineering and architecture roles that follow. Exams are booked directly with each vendor: Google Cloud Generative AI Leader (3-year validity), AWS AIF-C01 and AWS AIF-C01 via Pearson VUE, NVIDIA NCA-GENL and NCP-GENL (2-year validity), Microsoft AI-103 (replaces AI-102, retired 30 June 2026) and Databricks Generative AI Engineer Associate. MindMajix prepares you for Stages 1-3. Salary sources (2026): Glassdoor India - Gen AI Engineer, Glassdoor India - AI Engineer, Glassdoor India - AI Architect, Payscale India - Entry-Level AI Engineer, ZipRecruiter - Junior ML Engineer, ZipRecruiter - Generative AI Engineer, ZipRecruiter - ML Engineer, ZipRecruiter - ML Software Engineer, ZipRecruiter - AI Architect, ZipRecruiter - Principal AI Architect. Individual pay varies by employer, city and experience.
On-Job Support Service
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
