Generative AI Course & Certification
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Earn certification from EduCADD THINKWorks, India’s most trusted educational institution with over 25+ years of excellence, in collaboration with Mindforge and the National Skill Development Corporation (NSDC). Pursue a high-paying career in Generative AI with Mindforge Infotech’s new Generative AI Course and gain a competitive edge in the job market
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The Generative AI Course offers a comprehensive introduction to the cutting-edge field of artificial intelligence that focuses on creating systems capable of generating new data, content, and insights. This course delves into various generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models, which power applications like text generation, image synthesis, and deepfake technology. Students will learn the theoretical foundations behind these models, as well as practical techniques to implement and train generative AI systems using popular frameworks like TensorFlow and PyTorch.
Throughout the course, learners will explore real-world applications of generative AI in industries such as art, entertainment, healthcare, and marketing. The curriculum emphasizes hands-on projects, where students will work on creating AI-generated images, videos, and even text, applying techniques like neural style transfer and text-to-image synthesis. By the end of the course, students will have developed the skills needed to build and deploy generative AI models, opening up opportunities in AI research, creative industries, and innovative technology development.
Generative AI Course Curriculum
- Overview of Generative AI: Understanding the basics of generative models and their applications.
- Key Concepts: Introduction to key concepts like neural networks, deep learning, and generative adversarial networks (GANs).
- Ethical Considerations: Discussing the ethical implications and responsible use of generative AI.
- Fundamentals of Neural Networks: Understanding the architecture and functioning of neural networks.
- Deep Learning Techniques: Introduction to deep learning techniques and frameworks (e.g., TensorFlow, PyTorch).
- Model Training and Evaluation: How to train, fine-tune, and evaluate neural network models.
- Types of Generative Models: Overview of different types of generative models (e.g., GANs, VAEs, autoregressive models).
- Generative Adversarial Networks (GANs): Understanding the architecture and working of GANs, including training techniques.
- Variational Autoencoders (VAEs): Introduction to VAEs and their applications in generating data.
- Creative Applications: Using generative AI for art, music, and content creation.
- Data Augmentation: Techniques for generating synthetic data to augment datasets.
- Real-World Case Studies: Exploring real-world applications and case studies of generative AI in various industries.
- Recent Advances in Generative AI: Discussing the latest research and breakthroughs in the field.
- AI Ethics and Governance: Ensuring the ethical use of generative AI and understanding regulatory considerations.
- Future Trends: Exploring emerging trends and the future potential of generative AI technologies.
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Career Opportunities After Generative AI Training
AI Engineers focus on creating intelligent systems and applications that mimic human learning and reasoning. They work on developing models for artificial intelligence (AI), including natural language processing (NLP), computer vision, and speech recognition. AI Engineers are instrumental in advancing technologies in sectors like robotics, autonomous vehicles, and smart assistants.
₹ 2L – ₹ 18.4LPer AnnumHiring Companies
As a Machine Learning Engineer, you’ll be responsible for designing and implementing machine learning models that can learn from data and make predictions or decisions. This role involves working with algorithms, big data, and deployment pipelines. Machine Learning Engineers are highly sought after in industries like technology, finance, healthcare, and e-commerce.
₹ 3L – ₹ 12LPer AnnumHiring Companies
AI Research Scientists focus on advancing the field of artificial intelligence by developing new algorithms, models, and techniques. They work on cutting-edge AI research, often pushing the boundaries of machine learning, deep learning, and natural language processing. Research Scientists are employed in both academic institutions and top tech companies like Google, Facebook, and Microsoft.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
AI Product Managers oversee the development and deployment of AI-powered products and solutions. They bridge the gap between technical teams and business stakeholders, ensuring AI initiatives align with business objectives. This role is crucial in guiding companies through the successful integration of AI into their product offerings, particularly in sectors like tech, finance, and e-commerce.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
Automation Engineers leverage AI to develop systems that can operate autonomously without human intervention. They design AI-driven automation processes that streamline operations, reduce costs, and improve efficiency. Industries like manufacturing, logistics, and IT heavily rely on automation, creating a strong demand for AI Automation Engineers.
₹ 12.2L – ₹ 50LPer AnnumHiring Companies
Global Leaders In Training
MindForge Infotech is in association with EduCADD & ThinkWorks Infotech, pioneers in skill-based learning for over 2 decades as a software training institute. MindForge is an idea derived with a vision to make quality Tech skill-oriented education available and affordable to every job aspiring youth of the nation. MindForge vision is implemented by relentlessly staying up with latest technology trends across the education value chain covering Grooming, Assessment, Industry ready skills and Soft skills to match requirements of industry today.
Our Amenities:
- Free Demo Lecture
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- Mock Interviews
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- Guidance & Preparation
- Personality Development Seminars
- Industry Guidance
- Free Online Workshops
- Career Guidance
- Workshop Guidance to crack Interviews
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Why Choose Mindforge Infotech
Industry-Expert Instructors
Learn from seasoned professionals with real-world experience in the IT industry.
Flexible Learning Options
Choose between online and in-person classes to suit your schedule and learning preferences.
Hands-On Training
Gain practical skills through hands-on projects and real-world case studies.
Certification Preparation
Prepare for industry-recognized certifications that enhance your employability and career prospects.
Job Placement Assistance
Benefit from dedicated career services, including job placement support and internship opportunities.
Lifetime Access to Materials
Enjoy lifetime access to course materials, ensuring you can revisit and refresh your knowledge anytime.
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