Generative AI - Artificial Intelligence and Machine Learning
Comprehensive GenAI course covering Python, RAG, LLMs, NLP, fine-tuning, vector DBs, prompt engineering, LangChain, AI tools, cloud, metrics & chunking.




Duration
Students
Mode
Enrollment
Course Overview
Professional Certificate Course in Generative AI and Machine Learning - Bskilling
Explore the forefront of AI innovation with our Professional Certificate Course in Generative AI and Machine Learning. Dive into advanced algorithms, deep learning architectures, and generative models. Gain hands-on experience to develop groundbreaking applications. Join us to master the future of artificial intelligence.
Certification
Master in Developing Generative AI Applications
Key Features
Course Curriculum
18 modules • 88 lessons
Skills You'll Master
Python programming with data libraries like NumPy, Pandas, Matplotlib, Seaborn
Data preprocessing and feature engineering techniques
Building Retrieval-Augmented Generation (RAG) systems
Working with vector databases like FAISS, Pinecone, and cloud-based solutions
Finetuning LLMs using LoRA, QLoRA, P-Tuning, and Adapter techniques
Building intelligent LLM workflows using LangChain and agents
Crafting effective prompts and evaluating LLMs using metrics like BLEU, FID, RAGAS
Course Highlights
Our curriculum is designed by industry experts to ensure you master the skills that matter most.
Learning Outcomes
Industry-Recognized Certification

Master in Developing Generative AI Applications
Earn a prestigious industry-recognized certification upon completion. This credential validates your expertise and can be shared directly on LinkedIn and other professional platforms.
Globally Recognized
Accepted by leading employers worldwide
Digital Verification
Includes QR code and secure verification link
Career Advancement
Proven to increase job opportunities and salary potential
93% of our certified students reported career advancement within 6 months
Enrollment Details asasasas
Limited Time Offer - Enrollment closes in 3 days!
What's Included
50 Hours of Content
Self-paced learning
Completion Certificate
Industry recognized
Lifetime Access
Learn at your own pace
Course Materials
Downloadable resources
Expert Mentor Support
Get your questions answered
2 Real-world Projects
Build your portfolio
Not sure if this course is right for you? Try our free introductory module or schedule a call with our career advisor.
Program Criteria
Our carefully designed selection criteria ensure that you'll get the most out of this transformative learning experience.
Prerequisites
What you need to begin your journey
Basic programming knowledge – preferably in Python.
Fundamental understanding of machine learning – concepts like supervised/unsupervised learning.
Basic math skills – Linear Algebra, Probability, and Statistics.
Familiarity with Git and terminal commands (optional but helpful).
Experience with Jupyter Notebooks or any Python IDE.
Basic knowledge of cloud platforms (for modules covering cloud-based LLM deployment).
Eligibility Criteria
Who this program is designed for
Students or professionals in computer science, data science, or related fields looking to expand their knowledge in AI
AI enthusiasts who want to explore generative models and their applications
Developers interested in creating AI-generated content or art
Researchers or academics studying machine learning and AI technologies
98%
Completion Rate
24/7
Learning Support
15k+
Students Enrolled
4.9/5
Student Rating
Why Join This Programs?
Discover the unique advantages that make our program the perfect choice for your future
Skill assessment: Users can take assessments to evaluate their proficiency in various skills, such as programming, data analysis, or other technical skills.
Personalized training: Based on the assessment results, users may receive personalized training recommendations to improve their skills in specific areas.
Skill development: Users can engage in training modules and exercises to enhance their skills and knowledge in relevant areas.
Certification: Users may have the opportunity to earn certifications or badges upon completing training modules or assessments, which can be added to their resumes or professional profiles.
Career advancement: By improving their skills and knowledge through the platform, users may enhance their career prospects and opportunities for professional growth.
Overall, the outcome of this program would be to help individuals assess, develop, and enhance their skills through AI-powered tools and resources, ultimately leading to improved career prospects and personal growth.
Frequently Asked Questions
Still have questions?
Contact our support team