Explore AI-Driven Future with IBM Certified AI & ML Training

This comprehensive program is designed to equip learners with the skills and knowledge necessary to become proficient in the field of Artificial Intelligence and Machine Learning. The curriculum covers a wide range of topics, including Python programming, foundational AI concepts, machine learning algorithms, deep learning techniques, large language models, and generative AI. Through a combination of theoretical knowledge and practical hands-on experience, learners will develop the ability to apply AI and ML solutions to real-world problems across various industries.

Course Duration: 120 Hrs + Projects

Master Artificial Intelligence and Machine Learning Skills

Develop a strong foundation in Python programming: Gain proficiency in Python syntax, data structures, and control flow to effectively work with AI and ML tools.
Understand the fundamentals of AI and ML: Acquire a solid understanding of key AI and ML concepts, including supervised learning, unsupervised learning, and deep learning.
Learn to apply AI and ML algorithms: Master the application of various machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, and neural networks.
Explore deep learning techniques: Delve into deep learning architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
Understand large language models and generative AI: Gain insights into the capabilities and limitations of LLMs and GenAI, and learn how to apply them to real-world tasks.
Develop practical skills through hands-on projects: Apply theoretical knowledge to real-world projects, building and deploying AI and ML models using popular libraries.
Gain expertise in AI and ML tools and frameworks: Become proficient in using Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras.
Understand the ethical implications of AI: Be aware of the ethical considerations surrounding AI development and deployment, including bias, fairness, and privacy.

Program Outcomes:

Upon successful completion of the program, learners will be able to:

Write efficient and well-structured Python code for AI and ML applications.
Understand the principles and techniques behind AI and ML algorithms.
Apply AI and ML models to solve real-world problems in various domains.
Develop and deploy deep learning models using popular frameworks.
Work effectively with large language models and generative AI.
Analyze and interpret AI and ML model results.
Collaborate with teams to develop and implement AI and ML solutions.

Key Benefits:

Expert-led Training

Learn from industry experts in AI & ML

Placement assistance upon completion

Get placement support in top AI & ML companies

Offline/online mode flexibility

Learn at your convenience with flexible offline and online training options

Industry-Recognized Skills

Develop in-demand AI & ML skills

IBM Certification

Earn industry-recognized IBM certification

Applied AI-Skills

Apply AI & ML concepts to real-world projects

Course Curriculum:

Python programming
Data analysis and visualization
Machine learning algorithms (supervised, unsupervised, and deep learning)
Deep learning frameworks (TensorFlow, Keras)
Large language models and generative AI
Model evaluation and optimization
Ethical considerations in AI
Project management and problem-solving

Placement Training & Assistance:

Our dedicated placement cell ensures you receive:

– Resume building and interview preparation
– Industry connections and networking opportunities
– Job placement support

Job Roles Applicable:

AI Engineer
Machine Learning Engineer
Data Scientist
AI Researcher
AI Product Manager
AI Consultant
AI Business Analyst
AI Ethics Specialist

Why Choose Cadmaxx EdTech?

– Authorized IBM training partner
– Expert trainers
– Real-world scenarios
– Flexible learning modes