Certified Generative AI In Software Development

Why Choose Garranto Academy for Your Generative AI Certification?

Garranto Academy offers expert-led training, hands-on projects, and real-world case studies, ensuring you gain practical skills and deep knowledge to excel in the fast-evolving field of Generative AI in software development.

Course Overview:

Accelerate innovation and optimize your software development lifecycle with our Strategic Gen AI Specialist in Software Development online certification. This course equips professionals with the skills to integrate generative AI into development workflows, boosting efficiency, improving code quality, and fostering a culture of continuous innovation. Learn to automate repetitive tasks, streamline software testing, and accelerate product development cycles using AI-driven strategies. Tailored for developers, architects, and tech leads, the course offers a step-by-step approach to implementing generative AI in real-world scenarios. Participants will gain hands-on knowledge and access to all necessary resources, tools, and materials as complimentary benefits. Future-proof your team by mastering the integration of cutting-edge Gen AI technologies in software development practices.

What You'll Learn in Our Certified Generative AI in Software Development Course?

Course Objectives:

• Boost your profile with a recognized AI certification

• Explore core Generative AI concepts, like code generation and AI ethics

• Join the booming AI-Powered Software Development market as a top

contender

• Apply AI for code automation and software enhancement

Prerequisites

• Basic programming knowledge is required for the certification.

• Familiarity with software development concepts and methodologies is beneficial.

• Understanding of AI principles and concepts will enhance the learning experience.

Course Outlines:

Module 1: Introduction Of Generative AI

• Exploring the Fundamentals of Generative AI

• Significance in Software Development

• A Historical Perspective

• Key Terminology and Concepts

Module 2: Probability and Information Theory

• Delving into Probability Distributions

• Grasping the Essentials of Information Theory

• Understanding Kullback-Leibler Divergence

Module 3: Generative Models

• Unpacking Generative Model Basics

• Navigating the World of Autoencoders

• Diving into Variational Autoencoders (VAEs)

• Exploring Generative Adversarial Networks (GANs)

Module 4: Deep Learning Essentials

• Leveraging generative AI for fraud detection and prevention

• The Role of Activation Functions

• Differentiating Loss Functions

• Strategies for Regularization

Module 5: Training Generative Models

• The Art of Data Preprocessing

• Designing an Effective Training Loop

• Specialized Loss Functions for Generative Models

• Evaluating the Performance of Generative Models

Module 6: Variational Autoencoders (VAEs)

• Unveiling VAE Architecture

• Grasping the Variational Inference Framework

• Hands-On VAE Implementation

• Realizing VAE Applications in Software Development

Module 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 Applications

Module 8: Sequence Generation Models

• Introducing Sequence Models

• Navigating Recurrent Neural Networks (RNNs)

• Unlocking Long Short-Term Memory (LSTM) Networks

• Examining Gated Recurrent Units (GRUs)

Module 9: Transformer Models

• Understanding the Transformer Architecture

• Exploring Self-Attention Mechanisms

• Implementing Transformers for Sequence Tasks

• Real-World Applications of Transformer Models

Module 10: Ethical Considerations

• Addressing Bias and Fairness in Generative AI

• Tackling Privacy Concerns

• Frameworks for Ethical AI

• Guidelines for Ethical AI Development

Module 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.

Course Outcomes:

Upon successful completion of this "Certified Generative AI In Software Development" course, participants will:

• Master integration of generative AI tools into software development workflows.

• Develop and deploy AI-powered applications like chatbots and code generation tools.

• Optimize software design processes using generative AI for architecture and project management.

• Understand industry-specific AI applications across various roles in software development.

• Lead AI-driven transformation for organizational leaders in tech and change management.

Key Benefits of Becoming a Certified Generative AI in Software Development:

Enhance your career with certification in Generative AI, enabling you to develop innovative software solutions, automate processes, and leverage AI to create scalable, intelligent applications.

How Generative AI Can Transform Software Development?

Generative AI revolutionizes software development by accelerating coding, automating testing, and enabling advanced predictive analytics, making development more efficient, innovative, and responsive to market needs.