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
