Join Our 100% Job-Guaranteed Generative AI Course in OMR. We Provide Quality Generative AI training with an affordable Cost in OMR. Our Generative AI Syllabus covers AI fundamentals, large language models (LLMs), prompt engineering, generative image & video creation, AI‑powered application development, and ethical AI practices. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.
Generative Ai Training In Omr
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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
June 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
June 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
Here are the key objectives for our Generative AI course in OMR:
- Master Core Concepts: Understand what Generative AI is, how it differs from traditional AI, and the fundamental workings of generative models.
- Explore Practical Applications: Discover diverse real-world uses across industries, from content creation to automation, and identify opportunities in your domain.
- Develop Expert Prompt Engineering: Learn to craft effective prompts to achieve precise and high-quality outputs from various Generative AI tools.
- Gain Hands-On Tool Proficiency: Become comfortable navigating and utilizing popular Generative AI platforms like large language models and image generators.
- Understand Ethical & Responsible AI: Discuss critical ethical considerations, biases, and the importance of responsible development and deployment of Generative AI.
For Beginners: Build a strong foundational understanding and confidently apply basic Generative AI tools in everyday tasks.
For Experienced Professionals: Deepen technical insights, strategically integrate Generative AI into workflows, and identify advanced use cases for innovation and problem-solving.
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 course in OMR teaches you how artificial intelligence models can create new, original content like text, images, code, and more, based on simple inputs. You’ll learn the core concepts, common applications across industries, and essential prompt engineering techniques to interact effectively with these powerful tools. It covers everything from foundational understanding for beginners to advanced strategies for experienced professionals, often including ethical considerations and hands-on practice with popular AI platforms.
What are the reasons for learning the Generative AI Certification Course?
- High Demand & Career Growth: Generative AI skills are in immense demand across industries (healthcare, entertainment, finance, etc.), leading to excellent career opportunities in roles like AI Engineer, Prompt Engineer, Data Scientist, and AI Ethicist. Certified professionals often see higher salaries and faster career progression.
- Future-Proof Your Skills: AI is transforming work. This course equips you with cutting-edge knowledge, ensuring you remain competitive and relevant as AI integration becomes a job imperative.
- Unlock Innovation & Productivity: Learn to leverage Generative AI for content creation, automation, and problem-solving, boosting your personal and organizational productivity and fostering innovation.
- Credibility & Networking: A certification validates your expertise to employers and provides access to valuable professional networks, mentors, and job opportunities in the AI community.
What are the prerequisites for learning the best Generative AI course?
For the best Generative AI course in OMR, a solid foundation is crucial. You’ll typically need:
- Proficiency in Python: This is the primary language for AI development, including libraries like TensorFlow or PyTorch.
- Strong Math Background: Understanding linear algebra, calculus, probability, and statistics is essential for comprehending underlying algorithms.
- Machine Learning Fundamentals: Knowledge of basic ML concepts, algorithms (supervised/unsupervised learning), and model training/evaluation is a prerequisite.
- Deep Learning Basics: Familiarity with neural networks and deep learning architectures is highly beneficial.
Our Generative AI course with placement in OMR 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 training in OMR?
We provide a cost-effective Generative AI course fee structure in OMR that is well worth your investment. Our Generative AI course 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 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?
A Generative AI course can open doors to a wide range of exciting and in-demand job roles across various industries. Here are some of the key positions:
- 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?
Salaries for Generative AI professionals vary significantly based on experience, role, and location. In India,
- Entry-level professionals can expect INR 5-10 lakhs per annum
- Mid-level at INR 10-20 lakhs
- Senior roles reaching INR 20-40 lakhs+.
- Top earners, especially in leadership or research, can exceed INR 1 Crore.
In the US,
- Entry-level salaries typically range from $70,000 to $120,000 USD.
- Mid-level professionals can earn $90,000 to $180,000
- Senior roles often command $120,000 to $250,000+.
At top tech companies or for specialized roles like AI Research Scientist, total compensation can even reach $300,000 – $900,000 USD or more, including bonuses and stock.
List a few Generative AI real-time applications
Generative AI is increasingly being used in real-time applications to enhance experiences, automate tasks, and drive innovation across various sectors. Here are a few key examples:
- Real-time Customer Service & Support
- AI Coding Assistants
- Dynamic Content Creation for Marketing/Advertising
- Personalized Recommendations
- Fraud Detection
- Gaming Environments
- Medical Diagnostics and Image Enhancement
- Autonomous Vehicles
Boost Your Skills with Our Generative AI Training Experts
Our Mentors are from Top Companies like:
Our Generative AI course in OMR is led by industry experts with a proven track record in AI development and deployment. Each trainer possesses:
- Extensive Generative AI Expertise: Deep practical knowledge of large language models, diffusion models, GANs, and their applications.
- Strong technical expertise: Knowledgeable with cloud platforms (AWS, Azure, GCP), machine learning frameworks (TensorFlow, PyTorch), and Python.
- Real-World Experience: Hands-on experience building and deploying generative AI solutions in various sectors.
- Exceptional Communication Skills: Ability to simplify complex technical concepts for diverse audiences, fostering an engaging and interactive learning environment.
- Passion for Empowering Learners: Dedicated to empowering learners to confidently leverage Generative AI for innovation and career advancement.
Want to Speak to a Trainer about Generative AI?Request a Free Callback
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
Take your career to new heights with Softlogic's software training certifications.
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
Medical Report Summarizer
Voice Cloning/Synthesis
Game Asset Generator
AI-Powered Recipe Generator
Synthetic Data Generator
Automated Presentation Creator
Music Composer AI
Image Style Transfer App
AI Story Generator
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FAQs
What is Generative AI?
One kind of artificial intelligence that produces fresh, unique information is called generative AI. Generative models discover patterns in large datasets to generate original outputs, in contrast to standard AI that examines or categorizes pre existing data. Text, graphics, music, video, and code are all included, which makes it an effective tool for problem-solving, automation, and creativity in a variety of industries. Learn more with our Generative AI training in OMR.
Is Generative AI easy for beginners?
For beginners, the concepts of Generative AI can be accessible, especially focusing on using pre-trained models via prompt engineering. Many platforms offer user-friendly interfaces.
However, truly understanding how these models work, or programming them from scratch, requires foundational knowledge in machine learning, deep learning, and Python, which can be challenging for absolute beginners. Our Generative AI Course in OMR specifically designed for beginners will ease you into the topic.
Can I learn Generative AI in 3 months?
Yes, you can gain a foundational understanding and practical skills in Generative AI within 3 months, especially with dedicated effort. We offer specialized Generative AI courses and industry-worth certificates designed to be completed in this timeframe. For deeper, programming-focused expertise, it would require significant prior knowledge in Python, math, and machine learning.
Is learning Generative AI a difficult task?
Learning Generative AI isn’t inherently difficult, but its complexity depends on your goals. Using pre-trained models via prompt engineering is beginner-friendly. However, deeply understanding the underlying algorithms, or developing new generative models, demands strong programming skills (Python), mathematics (linear algebra, calculus), and a solid grasp of machine learning and deep learning concepts, making it more challenging.
What are the top companies that employ Generative AI?
Top companies leading the charge in Generative AI include OpenAI, Google (Alphabet), and Microsoft Azure and Copilot. Other key players include Meta, Adobe, TCS, infosys, Wipro, Fractal Analytics, IBM, Haptik, all actively developing and deploying generative solutions.
What is the Generative AI training fee in OMR?
The Generative AI training cost will vary depending on how much training you desire. Rs. 55000 is the average cost range for Generative AI training in OMR.
Is there placement assistance at SLA with Generative Course in OMR?
Yes, SLA does assist candidates in developing the necessary potential to pursue a career. In the long run, the candidates may utilize their newly acquired skills to progress in their Generative AI jobs. Gain expertise with our Generative AI training in OMR.
What can we obtain from the SLA career monitoring sessions with Gen AI course in OMR?
Due to the advice provided by industry experts about the plethora of opportunities in the field of generative artificial intelligence, candidates will have a comprehensive grasp of the variety of career alternatives available. Additionally, they will learn about the different challenges that new hires in the industry may encounter. SLA, the top Generative AI training and placement institute in OMR, can help you launch your career.
Which payment methods are available for the SLA Generative AI Course?
Students can pursue Generative AI certification courses at SLA with a variety of payment methods. You can pay using cash, credit cards, debit cards, online banking, or the UPI system. Additionally, you can choose the No Cost EMI option to complete your Generative AI course in OMR. Contact our educational managers for the latest offers or savings on Generative AI training fees.
What happens if I accidentally miss a session for the Generative AI course in OMR?
Our trainers will cover additional sessions when you take suitable, well-informed leave. You can schedule them online or at the times you choose to study. Schedule a free trial right now to gain a thorough understanding of the Generative AI certification course on OMR.
Additional Information for
the Generative AI Course
Additional Information for Generative AI Course with Placement in OMR
The demand for Generative AI professionals is skyrocketing globally and particularly in India, making it one of the hottest areas in the job market right now. This surge is driven by several key factors:
- Transformative Impact: Companies are eager to leverage its power for everything from content creation and automation to research and personalized customer experiences.
- Rapid Adoption: The adoption rate of Generative AI tools like Large Language Models (LLMs) and image generators has been incredibly fast.
- Innovation and New Use Cases: As the technology matures, new and complex use cases are constantly emerging across diverse industries.
- Productivity Gains: Companies are realizing significant productivity benefits from using Generative AI.
- Talent Shortage (Skills Gap): Despite the high demand, there’s a significant shortage of professionals with the specific skills required for Generative AI development and deployment.
- Government and Industry Initiatives: Governments (like India’s “IndiaAI Mission”) and industry bodies are actively fostering AI ecosystems, investing in infrastructure, and promoting skill development, further boosting demand for AI professionals.
Learning our Generative AI training in OMR, positions professionals at the forefront of technological innovation, offering robust career prospects and competitive compensation for years to come.
Things to know before learning Generative AI
Before embarking on this learning journey with our Generative AI course in OMR, consider these key aspects:
- Your Goal: Are you aiming to use tools (prompt engineering) or build/program models? This defines the depth of learning required.
- Coding Basics (for Developers): Proficiency in Python is crucial, along with familiarity with libraries like NumPy, Pandas, and ideally TensorFlow or PyTorch.
- Machine Learning Fundamentals: Understand core ML concepts like supervised/unsupervised learning, model training, and evaluation.
- Deep Learning Introduction: Grasping neural networks, particularly transformers, is vital for understanding large language and diffusion models.
- Mathematical Aptitude (for Developers): A basic understanding of linear algebra, calculus, and probability/statistics is highly beneficial.
- Ethical Considerations: Be prepared to discuss and understand the responsible and ethical implications of Generative AI.
Must-Have Skills for a Brighter Career in Generative AI
For a successful Generative AI career, a blend of following technical and soft skills is crucial:
- Deep Learning Expertise: Fundamental understanding of neural networks, transformers, GANs, and VAEs, as they underpin most generative models.
- Python Proficiency: Mastery of Python and its AI/ML libraries like TensorFlow, PyTorch, and Hugging Face Transformers.
- Prompt Engineering: The art of crafting precise and effective inputs to guide generative models to desired outputs.
- Data Management & Preprocessing: Skills in acquiring, cleaning, transforming, and augmenting large datasets essential for model training.
- Mathematics & Statistics: Strong grasp of linear algebra, calculus, probability, and statistics to understand model mechanics.
- MLOps/LLMOps (for Engineers): Knowledge of deploying, monitoring, and maintaining generative AI models in production environments.
- AI Ethics & Bias Mitigation: Awareness of responsible AI practices, fairness, and how to address biases in generated content.
- Problem-Solving & Critical Thinking: Ability to analyze challenges, evaluate AI outputs, and innovate solutions.
- Creativity & Adaptability: Essential for exploring new use cases and staying current in this rapidly evolving field.
- Communication & Collaboration: Effectively conveying complex AI concepts and working in interdisciplinary teams.
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