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AI Pathway

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AI Pathway

Unlock the Power of AI

Target Audience:

● Individuals with foundational knowledge in AI or data science
● Learners aiming to deepen their understanding of advanced AI techniques
● Those interested in specialized fields like deep learning, NLP, and reinforcement learning

Program Overview: This comprehensive program focuses on advanced AI concepts and specialized techniques, ideal for participants with some background in AI or data science. The curriculum covers essential areas such as Deep Learning, Natural Language Processing (NLP),
Reinforcement Learning, and advanced topics like AI ethics and generative models. Designed to equip participants with industry-ready skills, the program provides a structured path through critical topics including neural networks, transformer models, and explainable AI.

With a strong emphasis on hands-on experience, this program enables learners to develop complex AI systems, understand the ethical considerations in AI, and explore the latest advancements in AI technologies.

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Learning Outcomes:

● Master the latest AI trends, including Generative AI, prompt engineering, and ChatGPT.
● Apply prompt engineering techniques to optimize the behavior of Generative AI models.
● Develop a comprehensive understanding of AI and ML, covering their applications and effects.
● Gain expertise in natural language understanding and generation using tools like NLTK.
● Explore advanced AI topics like Generative Adversarial Networks (GANs) and Reinforcement Learning.
● Perform data abstraction and manipulation in neural networks for deep insights.
● Practice text-to-speech conversion and automated speech recognition.
● Address ethical considerations and data security in AI applications.

Program Highlights:

Duration: 9 Weeks
Engagement: High-engagement bootcamp with live sessions led by experts and optional self-paced learning.
Project-Based Learning: Includes capstone projects, integrated labs, and
industry-focused challenges.
Curriculum Partners: Developed in collaboration with IBM, featuring IBM-hosted hackathons and Q&A sessions.

Core Courses:

1. Essentials of Generative AI and ChatGPT

○ Live Classes: 12 hours
○ Projects: 2
○ Assessment

2. Programming Refresher

○ Live Classes: 12 hours, plus optional self-paced learning
○ Projects: 2
○ Assessment

3. Python for Data Science (IBM)

○ Optional Self-Paced Learning: 2 hours
○ Assessment

4. Applied Data Science with Python

○ Live Classes: 40 hours, plus optional self-paced learning
○ Projects: 2
○ Practice Exercises
○ Assessment

5. Machine Learning using Python

○ Live Classes: 32 hours, plus optional self-paced learning
○ Projects: 3
○ Practice Exercises
○ Assessment

6. Deep Learning Specialization

○ Live Classes: 40 hours, plus optional self-paced learning
○ Projects: 3
○ Practice Exercises
○ Assessment

7. AI Capstone Project

○ Live Classes: 6 hours
○ Capstone Project Assessment

Electives:

● Deep Learning with TensorFlow
● Advanced Deep Learning and Computer Vision
● Natural Language Processing and Speech Recognition
● Reinforcement Learning
● Advanced Generative AI