Ever wondered how AI creates stunning art, writes compelling stories, or even designs new medicines? Welcome to our Generative AI Online Training, where you’ll discover the magic behind these incredible innovations! This Generative AI Online Course will take you from curious beginner to confident creator, equipping you with the essential knowledge and practical skills to harness the power of AI for generation. We’ll explore core concepts like GANs, VAEs, and transformers, and show you how they’re transforming industries from entertainment to healthcare. Ready to shape the future with AI? Enroll in our Generative AI Online Training Institute today and start your generative AI journey!
Generative AI Online Training
4.80
(5234)
DURATION
3 Months
EMI
0% Interest
Mode
Live Online / Offline
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Course Syllabus
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Fees, Duration & Batch Timings for Generative AI Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2026
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Generative AI Course
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Module 1: Foundations of Generative AI
- Introduction to Artificial Intelligence and Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Deep Learning Fundamentals: Neural Networks, Backpropagation, Gradient Descent
- Generative vs. Discriminative Models
- Key Concepts in Generative AI: Latent Space, Sampling, Noise
Module 2: Core Generative Models
- Generative Adversarial Networks (GANs):
- Architecture of GANs: Generator and Discriminator
- Training Process, Challenges, and Variants (DCGAN, StyleGAN)
- Applications of GANs: Image Generation, Style Transfer, Data Augmentation
- Variational Autoencoders (VAEs):
- Encoding and Decoding Process, Latent Space Representation
- Applications of VAEs: Dimensionality Reduction, Anomaly Detection, Generative Modeling
- Diffusion Models:
- Forward and Reverse Diffusion Processes, Noise Scheduling
- Applications of Diffusion Models: Image Generation, Text-to-Image Synthesis, Audio Generation
Module 3: Applications of Generative AI
- Image Generation and Manipulation:
- Creating photorealistic images, artistic styles, and novel concepts
- Image-to-image translation, inpainting, and super-resolution
- Natural Language Processing:
- Text generation, translation, summarization, and dialogue systems
- Large Language Models (LLMs) and their applications
- Music and Audio Generation:
- Composing music, creating sound effects, and generating speech
- Other Applications:
- Drug discovery, material design, and creative content generation
Module 4: Ethical Considerations and Future Directions
- Ethical Implications:
- Bias and Fairness, Misinformation and Deepfakes, Job Displacement
- Responsible AI Development and Deployment
- Future Trends:
- Multimodal Generative AI, Reinforcement Learning for Generative Models
- Explainable AI and Interpretability for Generative Models
Objectives of Generative AI Training
- Understand Core Generative Models: Grasp the underlying principles and architectures of prominent generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models like Large Language Models (LLMs).
- Implement Generative Techniques: Develop practical skills to apply various generative AI methods for diverse tasks such as creating realistic images, generating coherent text, composing original music, and even synthesizing code snippets.
- Identify Real-World Applications: Recognize and analyze how Generative AI is being successfully deployed and integrated across a wide array of industries, from artistic creation and content generation to drug discovery and customer service.
- Gain Hands-on Development Experience: Acquire practical experience by engaging in projects that involve setting up, training, evaluating, and fine-tuning different types of generative models using popular AI frameworks.
- Address Ethical & Societal Implications: Understand the crucial ethical considerations, potential biases, and responsible deployment strategies associated with the development and use of Generative AI.
- Stay Abreast of Advancements: Cultivate the ability to keep pace with the rapid innovations, emerging tools, and best practices within the dynamic field of Generative AI.
- Enhance Career Readiness: Build a strong foundation and practical expertise to pursue exciting career opportunities in AI research, development, content creation, and other related fields.
Why Softlogic Systems is the Best Choice for Generative AI Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
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Highlights of Generative AI Course
What is a Generative AI course?
A Generative AI online course teaches you how to build and understand AI models that can create new, original content like images, text, audio, and more. You’ll learn the core concepts and practical skills to make AI generate realistic and innovative outputs.
What are the reasons for learning the Generative AI Certification Course?
- High Demand & Career Growth: With generative AI capabilities in high demand across industries, you can future-proof your career and open up new, high-paying work prospects.
- Unleash Creativity: Increase your creative output and push the limits of what is feasible by creating original stuff, such as literature, music, and photos.
- Increase Productivity: Free up time for more strategic work by automating time-consuming processes like writing emails, compiling data, and writing code.
- Encourage Innovation: Take the lead in digital transformation by using AI to create new goods and services and streamline current procedures.
- Accessibility: You can learn these in-demand skills at your own pace with the flexibility and convenience of online courses.
What are the prerequisites for learning the best Generative AI course?
For the best Generative AI course in Online, a solid foundation is crucial. You’ll typically need:
Beginner (Conceptual/Prompt Engineering):
- No prior AI/coding knowledge.
- Basic computer literacy.
- Curiosity and willingness to learn.
Intermediate (Practical Application):
- Basic Python programming.
- Familiarity with fundamental AI/ML concepts (optional but helpful).
Advanced (Model Building/Research):
- Strong Python programming and deep learning frameworks (TensorFlow/PyTorch).
- Solid understanding of Machine Learning and Deep Learning.
- Good grasp of linear algebra, calculus, and statistics.
Our Generative AI course with placement in Online is useful for the following people:
- Every beginner who is having fundamental programming skills.
- Working professionals to transform their careers into Gen AI domain.
What are the course fees and duration for Generative AI Online Training?
We provide a cost-effective Generative AI course fee structure in Online that is well worth your investment. Our Generative AI Online Training fees range from 55,000 to 65,000 INR based on the training mode (online or offline) and training requirements,, along with international certification. Generally, our Generative AI online course duration is 4 months. Any other relevant course program or internship training can be combined with our Generative AI course. Please speak with our career counselor directly for additional details about our Generative AI certification course, including current offers on costs, schedules, and upcoming enrollment opportunities.
What are some job roles related to the Generative AI course?
Numerous fascinating and in-demand employment jobs across a variety of industries can be accessed through our Generative AI Online Training. These are a few of the important roles:
- Generative AI Engineer/AI Engineer
- Prompt Engineer
- Data Scientist (with Gen AI Focus)
- AI Ethics Specialist
- Generative AI Design Specialist
What is the salary range for a Generative AI professional?
Generative AI Professional’s Salaries vary significantly based on experience, location, and specific role.
- In India, entry-level positions might start around ₹5-10 lakhs per annum, while experienced professionals can earn ₹20-40 lakhs or even upwards of ₹1 crore for highly specialized roles.
- In the US, average salaries for Generative AI engineers typically range from $110,000 to $160,000, with top earners exceeding $200,000 annually.
List a few Generative AI real-time applications.
Here are a few real-time applications of Generative AI:
- Real-time Chatbots: Providing instant, human-like responses for customer service and support.
- Dynamic Content Creation: Generating personalized marketing copy, news summaries, or product descriptions on the fly.
- Interactive Design Tools: Creating images, videos, and music from text prompts in seconds.
- AI Code Assistants: Suggesting or completing code snippets as developers type, accelerating programming.
- Gaming: Dynamically generating game environments, characters, or storylines for immersive experiences.
- Fraud Detection: Identifying and flagging suspicious financial transactions or network anomalies in real-time.
Boost Your Skills with Our Generative AI Training Experts
Our Mentors are from Top Companies like:
Our Generative AI online course trainers experts with the following:
- Deep Generative AI Expertise: Proven hands-on experience with models like GANs, VAEs, and LLMs.
- Strong Programming & Framework Skills: Proficient in Python and frameworks like TensorFlow or PyTorch for practical implementation.
- Clear Communication & Teaching Ability: Can simplify complex concepts and engage learners effectively.
- Real-World Application Focus: Demonstrates how Generative AI is used in industry and guides practical projects.
- Up-to-Date Knowledge: Stays current with the rapidly evolving Generative AI landscape and new tools.
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What Modes of Training are available for Generative AI Course?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
Instructor Led Live Training! Learn at the comfort of your home
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Certifications
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Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Generative AI Course
Architectural Design Prototyper
Poetry and Lyric Generator
Synthetic Data Generator
Automated Presentation Creator
Code Snippet Generator
Text-to-Image Art Creator
Recipe Idea Generator
Personalized Music Composer
Fashion Design Assistant
The SLA Way to Get Placed in Top IT Companies
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Technology Training
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Realtime Projects
Realtime Projects
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Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Aptitude Training
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Build Your Resume
Build your LinkedIn Profile
Build your GitHub
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FAQs
What is Generative AI?
Generative AI is a type of artificial intelligence that can create new, original content like text, images, music, or code. Unlike traditional AI that analyzes existing data, Generative AI learns patterns from vast datasets to generate novel outputs, often in response to human prompts. Learn more with our Generative AI Online Training.
What exactly is Generative AI covered in the course?
Our Generative AI Online course delves into how AI models learn from data to create new, original content like text, images, audio, and code, exploring models like GANs, VAEs, and Transformers.
Will I get hands-on experience and build projects?
Yes, our courses emphasize practical application. You’ll work on real-world projects, building and fine-tuning generative models for various creative and analytical tasks.
How is this Generative AI course structured, and what’s the learning methodology?
Courses often combine video lectures, coding exercises, quizzes, and project-based learning. Many offer flexible, self-paced options with instructor support and community forums.
What kind of career opportunities can I pursue after completing this course?
You can target roles such as Generative AI Engineer, Prompt Engineer, AI/ML Specialist, Content Creator with AI tools, and AI Product Developer across various industries.
What sets your Generative AI online course apart from others?
Our Generative AI Online course distinguishes itself through industry-expert trainers, a highly practical curriculum, cutting-edge tools and techniques, dedicated career support, and a vibrant learning community.
What kind of placement assistance or career support does SLA offer?
SLA provides comprehensive career support including resume building, interview preparation, portfolio development, and connections to industry partners for job opportunities.
Are the trainers experienced professionals at SLA for the Generative AI course?
Yes, our trainers are seasoned Generative AI professionals with extensive industry experience, ensuring you learn from those actively applying these technologies.
What certifications will I receive upon completing the Generative AI course at SLA?
Upon successful completion, you will receive a certification that validates your Generative AI skills, recognized by industry standards and valuable for your professional profile.
What are the payment options and batch timings for the Generative AI course at SLA?
We offer flexible payment plans, including EMI options, and provide various batch timings (weekdays/weekends, morning/evening) to accommodate different schedules.
Additional Information for
the Generative AI Course
Future Scope of Generative AI
The future scope of Generative AI is incredibly vast and promises to revolutionize nearly every industry. We’re currently just scratching the surface of its potential.
- Hyper-Personalization at Scale: Generative AI will drive unprecedented levels of personalization across products, services, and content. Imagine truly bespoke learning experiences, tailor-made marketing campaigns, or even customized healthcare plans generated instantly for each individual.
- Ubiquitous Creative Augmentation: Artists, designers, writers, and developers will increasingly leverage Generative AI as a co-creator. It will accelerate ideation, automate tedious creative tasks, and enable rapid prototyping, pushing the boundaries of human creativity.
- Multimodal AI Dominance: The future will see a seamless integration of different data types. Generative AI will effortlessly process and generate across text, images, audio, video, and 3D models, leading to richer, more immersive digital experiences.
- Advanced Intelligent Automation: Beyond simple task automation, Generative AI will enable intelligent automation of complex workflows. AI agents will collaborate, analyze vast datasets, and make more nuanced decisions across business operations, from supply chains to customer service.
- Scientific Discovery and Innovation: Generative AI will accelerate research in fields like drug discovery, material science, and engineering by rapidly generating and evaluating new designs, compounds, and simulations.
- Enhanced Human-Computer Interaction: Conversational AI will become far more sophisticated, understanding context, nuance, and even emotions, leading to more natural and effective interactions with virtual assistants and digital interfaces.
- Rise of Smaller, Specialized Models: While large models continue to advance, there will be a significant trend towards smaller, more efficient, and domain-specific generative models that can run on edge devices, expanding AI’s reach.
- Focus on Ethics and Governance: As Generative AI becomes more pervasive, there will be a heightened emphasis on developing ethical frameworks, addressing biases, and establishing robust regulatory guidelines for its responsible creation and deployment.
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