Created By: Training Head
No Previous Programming Experience Is Necessary; However, A Basic Understanding Of Computer Operations Is Recommended. We'll Start From The Basics And Gradually Build Your Skills. However, Having A Basic Understanding Of Computer Operations And Familiarity With The Concepts Of Variables, Data, And Algorithms Is Beneficial.
This course on Artificial Intelligence (AI) and Machine Learning (ML) provides in-depth theoretical
knowledge coupled with extensive practical learning experiences, through hands-on exercises and
projects. Participants will gain proficiency in AI and ML techniques, learn to implement algorithms
using Python programming and utilize industry-standard tools and software for real-world
applications.
1 lectures, 01:00:00 hrs
intro
1 lectures, hrs
python
1 lectures, 01:00:00 hrs
supervised
1 lectures, 01:00:00 hrs
unsuperised
1 lectures, 01:00:00 hrs
Deep
1 lectures, 01:00:00 hrs
Natural
1 lectures, 01:00:00 hrs
Learning
1 lectures, hrs
real
1 lectures, hrs
LIve Projects
"Thorough Python fundamentals and practical applications in AI and ML. The diverse topics, from supervised to unsupervised learning, deep learning, and NLP, offered a well-rounded understanding. Great instructors and engaging discussions."
"Incredible AI course! The comprehensive coverage of AI and ML concepts, hands-on coding, and real-world applications provided me with the skills needed in the industry. The capstone project was a challenging yet rewarding experience."
"Great introductory course for AI and ML. The instructors covered Python basics to advanced concepts with clarity. The mix of group discussions and guest lectures added a practical touch. The diverse applications of AI showcased in the final weeks were inspiring."
"Outstanding course! The assessment methods, especially the capstone project, ensured practical application of concepts. The use of industry-standard tools and the certification added significant value to my skill set."
"Being a business professional, I found this course beneficial for understanding how AI can be leveraged for innovation. The real-world applications section was particularly insightful, providing a strategic perspective on AI implementation in different sectors."
"The course duration allowed for in-depth exploration, and the progression from theory to projects was well-paced. The emphasis on natural language processing and reinforcement learning, along with a comprehensive capstone project, made this course stand out."
"Well-organized content with a focus on practical implementation. The reinforcement learning and real-world applications sections were eye-opening. The inclusion of tools like Git, GitHub, and Docker was a practical touch for collaborative work."
"This course is a gem for AI enthusiasts. The instructors were knowledgeable, and the hands-on exercises solidified my understanding of algorithms. The real-world applications week provided insights into how AI is transforming various industries."
"Fantastic course structure! The gradual progression from basic concepts to advanced applications kept me engaged. The tools and software instruction, especially on TensorFlow and PyTorch, was immensely valuable. The capstone project was the highlight for me."
"As someone with a background in programming, this course deepened my understanding of AI and ML. The real-world applications and projects allowed me to apply my knowledge effectively. The delivery method, combining online and offline elements, was flexible and effective."
Duration : 7 Months
Letures : 84
Offline & Online Mode