- AI & Machine Learning
- Generative Al and Machine Learning
- AI & Machine learning
Professional Certificate Program in Generative Al and Machine Learning
Empower Your Career with Generative AI and Machine Learning Certification
Unlocking Creativity and Intelligence
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Overview
Professional Certificate Program in Generative Al and Machine Learning Certification training
The Professional Certificate Program in Generative AI and Machine Learning provides comprehensive training in advanced AI techniques, focusing on generative models and machine learning applications. Participants delve into cutting-edge topics such as neural networks, deep learning, and reinforcement learning, gaining hands-on experience with tools like TensorFlow and PyTorch. This program equips learners with the skills to create AI systems that can generate new content, make predictions, and optimize processes across various domains. By the end of the program, participants will have the expertise to innovate in fields like natural language processing, computer vision, and autonomous systems, preparing them for roles in AI research, development, and implementation.
Industry Demand
Unlock Opportunities: Over Professional Certificate Program in Generative Al and Machine Learning Jobs Available by 2030!
The Professional Certificate Program in Generative AI and Machine Learning is experiencing strong industry demand as organizations increasingly adopt these advanced technologies for innovation and automation. This program equips professionals with skills in developing generative AI models and leveraging machine learning algorithms effectively. Industries such as technology, healthcare, finance, and entertainment are actively seeking experts proficient in these areas to drive business growth and enhance operational efficiency. Salaries for professionals with this certification vary based on experience and location. Entry-level positions may start around $90,000 per year, while experienced individuals can earn upwards of $130,000 annually, particularly in roles requiring specialized knowledge in generative AI and machine learning applications.
Why Choose Us?
Discover the Sense Academy Advantage
Expert Instructors
Learn from industry experts with real-world experience
Flexibility
Learning formats, including online courses, workshops.
Supportive community
Connect with peers,mentors, and professionals for success
Hands-On Experience
Our courses include practical labs, real-world projects etc.
High Success Rates
Our students excel in certification and job placement
Access Recorded Sessions
Access recorded sessions anytime for flexible review.
Generative Al and Machine Learning COURSE PRICING
Tuition Fee
Best Seller
Live Online Classroom
Learn in expert-led live sessions
Solid Experiential Learning
- 11 Contact Months with Live Training
- Free On-Demand Course by Industry Experts
- Practice exams and additional resources
-
₹ 39,600₹ 36,000
Self-Paced Learning
Learn at your own pace
Solid Experiential Learning
- 40 Contact Hrs with Live Training
- Practice exams and additional resources
-
₹ 36,500₹ 32,250
WHAT YOU’LL LEARN IN THIS training
Learning Objectives
Gain proficiency in neural networks and deep learning algorithms.
Apply machine learning frameworks like TensorFlow and PyTorch.
Develop skills in natural language processing and computer vision.
Prepare for roles in AI research, development, and implementation.
Create AI systems capable of generating new content and making predictions.
PREREQUISITES FOR this CERTIFICATION TRAINING
Prerequisites and Eligibility
- Basic understanding of programming concepts
- Familiarity with Python programming language
- Knowledge of basic statistics and probability
- Understanding of linear algebra and calculus
- Awareness of machine learning fundamentals
WHO SHOULD ATTEND THiss COURSE ONLINE
Who This Course Is For?
- Data Scientists
- Machine Learning Engineers
- AI Enthusiasts
- Software Developers
- Research Scientists
- Business Analysts
- IT Professionals
COURSE SYLLABUS
Curriculum
- Overview of AI and ML
- Understanding Generative Models
- Applications of Generative AI
- History and Evolution of Machine Learning
- Linear Algebra
- Probability and Statistics
- Calculus and Optimization Techniques
- Matrices and Eigenvalues
- Supervised Learning Techniques
- Unsupervised Learning Techniques
- Reinforcement Learning Basics
- Model Evaluation and Validation
- Introduction to Neural Networks
- Deep Learning Architectures (CNNs, RNNs, LSTMs)
- Activation Functions and Back propagation
- Training Deep Neural Networks
- Variation Auto encoders (VAEs)
- Generative Adversarial Networks (GANs)
- Applications of GANs
- Training and Tuning Generative Models
- Text Processing and Tokenization
- Word Embedding’s (Word2Vec, Glove)
- Sequence Models (LSTM, GRU)
- Transformer Models and BERT
- Image Processing Basics
- Convolutional Neural Networks (CNNs)
- Object Detection and Segmentation
- Generative Models in Computer Vision
- Reinforcement Learning Deep Dive
- Transfer Learning
- Self-Supervised and Semi-Supervised Learning
- AI Ethics and Responsible AI
- AI in Art and Music Generation
- Text-to-Image Models (e.g., DALL-E)
- AI-driven Creativity Tools
- Case Studies and Industry Applications
- Python Programming for AI/ML
- TensorFlow and PyTorch
- Scikit-learn, Keras, and Other ML Libraries
- Data Visualization Tools (e.g., Matplotlib, Seaborn)+
- Real-world Project in Generative AI or ML
- End-to-End AI/ML Model Development
- Deployment and Monitoring of AI Models
- Presentation and Report Writing
Achieve Excellence: Earn the Coveted Professional Certificate Program in Generative Al and Machine Learning Certified Certification Today!
Unlock Microsoft Certified Generative Al and Machine Learning Exam Success with Our Exclusive Offer!
Generative Al and Machine Learning CERTIFICATION COURSE REVIEWS
Our Learners Love Us
4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
Generative Al and Machine Learning CERTIFICATION FAQS
Frequently Asked Questions
This program equips you with cutting-edge skills in Generative AI and Machine Learning, which are rapidly becoming essential in various industries. It offers a deep understanding of how AI models generate new data, solve complex problems, and innovate solutions, preparing you for advanced roles in AI research, development, and application.
The program is ideal for data scientists, machine learning engineers, AI enthusiasts, software developers, and professionals looking to enhance their skills in AI and machine learning. It is also suitable for individuals interested in exploring AI for creative fields such as art, music, and content creation.
Completing this program enhances your expertise in AI and machine learning, making you a valuable asset to organizations looking to leverage AI for innovation. It opens up career opportunities in AI research, data science, and tech companies focusing on AI-driven products and solutions. You'll also gain hands-on experience with AI tools and frameworks, preparing you for practical applications.
The duration varies depending on the program structure. It can range from a few months to a year. Some programs offer part-time options, allowing you to learn at your own pace while balancing other commitments.
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- Recorded Sessions
- 40 Hours
- Hybrid
- Exam Voucher
