AI ML Complete Course
Unlock the full potential of Artificial Intelligence (AI) and Machine Learning (ML) with this all-encompassing course. From foundational concepts to advanced techniques, this course equips you with the skills to build, deploy, and optimize intelligent systems for real-world applications.
1. Learn the fundamentals of AI and ML, including supervised, unsupervised, and reinforcement learning.
2. Master essential algorithms such as linear regression, logistic regression, decision trees, random forests, and support vector machines.
3. Explore deep learning, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
4. Gain insights into advanced AI topics like natural language processing (NLP), computer vision, and reinforcement learning.
30000+
Students placed
4000+
Hiring Companies
69700+
Non IT Students placed
Course Content
1. Generative AI
1.1. Introduction to Generative AI
1.2. Core NLP Techniques
1.3. Advanced NLP Concepts
1.4. Large Language Models (LLMs)
1.5. Deployment and LLM Operations
1.6. Ethical and Responsible AI Use
2. Prompt Engineering
2.1. Foundations of Generative AI
2.2. Introduction to Prompt Engineering
2.3. Advanced Prompt Techniques
2.4. Crafting and Optimizing Prompts
2.5. Evaluating and Testing Prompts
2.6. Applications of Prompt Engineering
2.7. Ethics and Responsible AI Usage
3. Machine Learning
3.1. Introduction to Machine Learning
3.2. Data Preprocessing
3.3. Supervised Learning Algorithms
3.4. Unsupervised Learning Algorithms
3.5. Advanced Machine Learning Algorithms
3.6. Model Evaluation and Optimization
3.7. Machine Learning in Production
4. Deep Learning
4.1. Introduction to Deep Learning
4.2. Fundamentals of Neural Networks
4.3. Training Deep Neural Networks
4.4. Deep Learning Architectures
4.5. Advanced Deep Learning Models
4.6. Model Evaluation and Tuning
4.7. Deep Learning in Production
5. Natural Language Processing
5.1. Introduction to NLP
5.2. Text Preprocessing
5.3. Text Encoding and Feature Extraction
5.4. Traditional NLP Algorithms
5.5. Advanced NLP Models
5.6. NLP Tasks and Applications
5.7. NLP Evaluation and Metrics
5.8. NLP in Production
6. Computer Vision
6.1. Introduction to Computer Vision
6.2. Image Processing Basics
6.3. Feature Detection and Extraction
6.4. Object Detection and Recognition
6.5. Image Segmentation
6.6. 3D Computer Vision
6.7. Advanced Topics in Computer Vision
6.8. Computer Vision in Production
7. Azure AI
8. Google AI
Upcoming Batches
Highlights about the Course
Who this course is for?
- Beginners looking to start their journey in AI and ML with a structured learning path.
- Data scientists and developers eager to expand their knowledge in AI and ML.
- Professionals aiming to transition into AI/ML roles or enhance their current skill set.
- Researchers and students interested in exploring cutting-edge AI advancements and applications.
Why take this course?
- Gain a comprehensive understanding of AI and ML concepts, tools, and techniques.
- Master both foundational and advanced topics, making you job-ready for AI/ML roles.
- Learn to apply AI and ML techniques to solve problems in diverse domains such as healthcare, finance, e-commerce, and robotics.
- Stay competitive in the job market by acquiring in-demand skills in a fast-growing field.
What you will learn?
- Introduction to AI and ML, key concepts, history, and real-world applications.
- Data preprocessing, cleaning, transforming, and preparing data for analysis.
- Core algorithms like linear regression, decision trees, clustering, and more.
- Sentiment analysis, text generation, and chatbot development using NLP.
- Image recognition, object detection, and facial recognition.
- Implementing AI and ML models in production environments.
Frequently Asked Questions
Often asked questions from our wonderful partners
What Courses are offered by Innovator Hub?
Innovator Hub offers a variety of courses in software testing, including manual testing, automation testing, performance testing, and advanced testing techniques using tools like Selenium. They also offer training in programming languages like Java and Python.
Are the courses at Innovator Hub suitable for beginners?
Yes, Innovator Hub courses are designed to cater to all levels of learners, from beginners to advanced professionals. They provide foundational courses for those new to the field as well as advanced courses for experienced professionals looking to upskill.
What is the duration of the courses offered by Innovator Hub?
The duration of courses varies depending on the specific course and the level of depth it covers. Typically, courses can range from 6 weeks to 3 months.
Does Innovator Hub offer any job placement assistance?
Yes, Innovator Hub provides job placement assistance to its students. They have tie-ups with various companies and conduct regular placement drives to help students secure jobs in the software testing industry.
What are the prerequisites for enrolling in a course at Innovator Hub?
There are no strict prerequisites for most courses. However, a basic understanding of programming concepts and software development can be beneficial. Some advanced courses may require prior knowledge in specific areas, which is described under courses FAQs.