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📘 Course Overview
Unlock the future of software development by mastering Generative AI tools and techniques. This certification helps developers build AI-powered applications, automate code generation, enhance testing, and reduce development time through intelligent solutions.
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🌟 Course Benefits
▸ Accelerate development cycles with AI-powered coding
▸ Build scalable, intelligent applications
▸ Enhance productivity with cutting-edge tools
▸ Gain industry-recognized certification from GSDC
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✅ Prerequisites & Eligibility
▸ Basic programming knowledge (Python preferred)
▸ Ideal for software engineers, developers, and technical architects
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🎯 Learning Objectives
▸ Understand the role of Generative AI in software development
▸ Use AI tools for code completion, bug detection, and optimization
▸ Automate testing, documentation, and deployment processes
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📚 What You Will Learn
▸ Generative AI models in software engineering
▸ Code generation with tools like GitHub Copilot, OpenAI API
▸ Use cases of LLMs in CI/CD pipelines and software testing
▸ Prompt engineering for development tasks
▸ Ethics and responsible use of AI in tech workflows
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👥 Who Is This Certification For?
▸ Software Developers and QA Engineers
▸ DevOps Practitioners and Tech Leads
▸ AI/ML Engineers in development roles
▸ Engineering managers and innovation strategists
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🗝️ Our Key to Certification Exam & Career Success
▸ Hands-on projects and real-world case studies
▸ Expert-curated learning material
▸ Access to production-ready tools and live labs
▸ Lifetime access to resources and portfolio-building guidance
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📝 Certification Steps & Exam Format
▸ Enroll and complete the Generative AI training
▸ Work on assignments and hands-on labs
▸ Take the official online certification exam
Exam Format:
▸ 40–50 multiple-choice questions
▸ Duration: 60–90 minutes
▸ Pass mark: 65–70%
▸ Online, proctored exam
▸ Digital certificate and badge upon passing
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💼 Certified Professionals Earn
▸ 20% higher salaries in AI-integrated development roles
▸ Fast-track hiring in AI-first software teams
▸ Recognition in roles demanding smart automation
▸ Access to GSDC alumni network and continuous learning
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❓ FAQs
Q: Is this course beginner-friendly?
✔ Yes, basic programming knowledge is enough to get started.
Q: Is the exam online?
✔ Yes, it is an online, proctored certification exam.
Q: What payment methods are accepted?
✔ UPI, Credit/Debit Cards, Net Banking, PayPal, and digital wallets.
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📜 Accredited By
GSDC – Global Skill Development Council, ISO 17024 Accredited
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Curriculum
- 14 Sections
- 0 Lessons
- 15 Hours
Expand all sectionsCollapse all sections
- 1. Introduction Of Generative AIExploring the Fundamentals of Generative AI Significance in Software Development A Historical Perspective Key Terminology and Concepts0
- 2. Probability and Information TheoryDelving into Probability Distributions Grasping the Essentials of Information Theory Understanding Kullback-Leibler Divergence0
- 3. Generative ModelsUnpacking Generative Model Basics Navigating the World of Autoencoders Diving into Variational Autoencoders (VAEs) Exploring Generative Adversarial Networks (GANs)0
- 4. Deep Learning EssentialsLeveraging generative AI for fraud detection and prevention The Role of Activation Functions Differentiating Loss Functions Strategies for Regularization0
- 5. Training Generative ModelsThe Art of Data Preprocessing Designing an Effective Training Loop Specialized Loss Functions for Generative Models Evaluating the Performance of Generative Models0
- 6. Variational Autoencoders (VAEs)Unveiling VAE Architecture Grasping the Variational Inference Framework Hands-On VAE Implementation Realizing VAE Applications in Software Development0
- 7. Generative Adversarial Networks (GANs)Exploring the Inner Workings of GAN Architecture Mastering the Training Process for GANs Harnessing the Power of Conditional GANs Utilizing GANs for Software Development Applications0
- 8. Sequence Generation ModelsIntroducing Sequence Models Navigating Recurrent Neural Networks (RNNs) Unlocking Long Short-Term Memory (LSTM) Networks Examining Gated Recurrent Units (GRUs)0
- 9. Transformer Models0
- 9. Transformer ModelsUnderstanding the Transformer Architecture Exploring Self-Attention Mechanisms Implementing Transformers for Sequence Tasks Real-World Applications of Transformer Models0
- 10. Ethical ConsiderationsAddressing Bias and Fairness in Generative AI Tackling Privacy Concerns Frameworks for Ethical AI Guidelines for Ethical AI Development0
- 11. Use Cases with Generative AI Tools & Hands-on Demos :Learn to create AI Enhanced Power Point Presentations, Images, Chart analysis for all business purpose- From Basics to Mastery Learn to leverage AI for automated data insights, simplifying the journey from data collection to impactful business strategies Learn to harness the power of AI for document summarization, distilling vast information into concise summaries effortlessly. Learn to build AI-powered personalized recommendation systems with your data on PDF/Word documents using AI assistants Content Generation (Audio, Video, Images) with Prompt Engineering.0
- 12. Personalized 1-1 & Group connect sessionPersonalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries. Weekly Group Mentor Connect Session with Lifelong Learning - Participate in a weekly group session with an industry experts where all types of professioanls around the world connet with SME and have a brainstorming session.0
- 13. Agentic AI: The Next Evolution of Generative AIUnpacking Agentic AI Agentic vs Generative AI: What Makes Them Distinct? How Agentic AI Operates in Practice Autonomous DevOps Agents0
Course Includes:
- Price:
₹8,570.00
- Instructor:Admin
- Duration:15 hours
Lessons:0- Students:454
- Language:English
- Certifications:Yes
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