Machine Learning Course in Hyderabad - Course Curriculum
- Overview and evolution
- Applications of ML in real-world scenarios
- ML system components and workflows
- Linear Algebra: Vectors, matrices, eigenvalues
- Calculus: Derivatives, gradients
- Probability & Statistics: Distributions, Bayes theorem
- Python basics: Data types, functions, OOP concepts
- Libraries: NumPy, pandas, matplotlib, seaborn
- Data cleaning and transformation
- Handling missing data
- Feature scaling (normalization, standardization)
- Visualization techniques
- Correlation analysis
- Identifying patterns and outliers
- Regression Models: Linear, Polynomial, Ridge
- Classification Models: Logistic Regression, SVM, Decision Trees, Random Forest
- Ensemble Techniques: Bagging, boosting (XGBoost, AdaBoost)
- Time Series Analysis
- Neural Network Basics: Perceptron, activation functions
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Frameworks: TensorFlow, Keras
- Text preprocessing: Tokenization, stemming, lemmatization
- Sentiment analysis
- Language models: Transformers (BERT, GPT)
- Saving and exporting models
- Integration with Flask, Docker
- Cloud platforms: AWS, Azure, GCP
- End-to-end implementation of ML/DL projects
- Domain-specific projects in healthcare, finance, or e-commerce
Why Choose a Machine Learning Course in Hyderabad?
Choosing a Machine Learning course in Hyderabad is ideal for anyone looking to build practical AI skills, especially in the city’s thriving tech ecosystem. Training programs like those from AI Generative combine real-world projects, expert guidance, and an easy-to-follow curriculum to prepare you for high-demand roles in AI and ML. These courses can help you gain competitive skills and access new career opportunities in this rapidly growing field.
Learn Python, Machine Learning (ML), Deep Learning (DL), NLP, LLMs, and MLOps.
- The curriculum matches current industry standards.
- It begins with basics and progresses to advanced topics.
- Expert trainers with over 12+ years of experience.
- Includes advanced NLP testing concepts.
- One-on-one personalized mentorship.
- Flexible study methods tailored to your needs.
- Interactive and engaging lessons.
- Lifetime access to videos and the LMS.
- Interview preparation kit included.
- Focus on practical, real-world applications.
- Placement assistance and HR support.
- Accredited certification upon completion.
Machine Learning Course Overview
The Machine Learning course in Hyderabad at AI Generative offers an in-depth exploration of Generative AI, start with fundamental concepts and advancing to specialized topics like GANs, VAEs, and advanced tools such as TensorFlow and PyTorch. The course has practical exercises and real-world projects to build hands-on experience. Students will learn ethical AI practices. mentorship, interview preparation, and placement support ensure learners are well prepared for career opportunities. This course caters to beginners and those seeking to enhance their AI skills, offering flexibility and a Detailed curriculum aligned with industry standards.
Machine Learning Course in Hyderabad Skills Covered
Python
TensorFlow
Keras
PyTorch
Scikit-learn
NumPy
Pandas
Matplotlib
Seaborn
Jupyter Notebooks
MLOps
NLP
Machine Learning Course Highlights
01
Creating and Testing LLMs
Learn to build and test large language models (LLMs). Start with basics like data processing and model architecture, progressing to advanced techniques to optimize and evaluate model performance in real-world applications.
02
Begin with Python
Start your journey by mastering Python programming, followed by an introduction to Machine Learning, Deep Learning, NLP, and MLOps, laying a solid foundation for further AI studies.
03
Advanced NLP Testing Skills
Develop advanced skills in testing and validating NLP models. Learn methods to ensure the effectiveness and reliability of your models, which is critical for high-quality AI solutions.
04
Curriculum for the Industry
The course covers the latest industry-relevant topics, such as Generative AI, MLOps, and deep learning, ensuring you’re equipped with the skills that companies demand.
05
Trainers with Experience
You’ll be mentored by trainers with over 20 years of experience in renowned global companies, offering you industry insights and valuable knowledge.
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06
Starting from Basics
No coding experience? No problem! The course starts from the basics, ensuring that even beginners can follow and succeed in learning advanced AI concepts.
07
Lifetime Access
Enjoy access to all the course videos and study materials. Learn at your convenience, revisit any topics, and keep up with the latest updates.
08
Hands-On Projects
Apply your knowledge to real-world projects, gaining practical experience to help you solve complex AI problems professionally.
09
Special Doubt Sessions
We provide additional sessions dedicated to clearing any doubts or confusion you may have during the course, ensuring complete understanding.
10
One-on-One Mentorship
Benefit from personalized mentorship to guide your learning journey, focus on your unique needs, and help you achieve your career goals.
11
Ongoing Support
Receive support until you secure a job. We offer continued guidance and resources to help ensure your success in the AI field.
12
Job Interview Prep
Get a complete interview preparation kit with tips, questions, and mock interviews to help you confidently face potential employers.
What is Machine Learning
Machine Learning (ML) is a subset of artificial intelligence (AI) focused on developing algorithms that allow computers to learn from data. Instead of being explicitly programmed, ML models use data patterns to make predictions or decisions. These models are trained using algorithms such as supervised learning, unsupervised learning, and reinforcement learning.
In supervised learning, the model is trained on labeled data, while unsupervised learning works with unlabeled data. Reinforcement learning uses trial and error, allowing the system to improve based on feedback. ML is applied in diverse fields like healthcare, finance, marketing, and more, improving efficiency and accuracy in decision-making.
Machine Learning Course in Hyderabad - Career Opportunities
The Machine Learning course in Hyderabad provides comprehensive training in Python, ML algorithms, deep learning, NLP, and MLOps. It offers hands-on experience with tools like TensorFlow and PyTorch, preparing students for careers in AI. The course is designed for all levels, from beginners to advanced learners, and covers real-world applications. Mentorship, lifetime access to resources, and job interview prep are included to help students succeed in the rapidly growing AI industry.
AI Researcher/Scientist
Focuses on developing new algorithms and models, often collaborating with companies and publishing findings.
Machine Learning Engineer
Builds and optimizes machine learning models for practical applications in industries.
Data Scientist
Analyzes data to extract meaningful insights and create predictive models.
AI Consultant
Advises businesses on using AI technologies to improve processes and efficiency.
NLP Specialist
Works on creating systems that help machines understand human language and develop applications like chatbots.
AI Product Manager
Manages AI product development, coordinating technical and business teams.
Machine Learning Engineer
Builds and optimizes machine learning models for practical applications in industries.
AI Ethics Specialist
Ensures AI technologies are used responsibly and fairly.
Computer Vision Engineer
Develops systems that enable computers to interpret visual information, such as images and videos.
Computer Vision Engineer
Develops systems that enable computers to interpret visual information, such as images and videos.
AI Systems Architect
Designs AI systems for organizations, ensuring they operate efficiently and integrate well.
Data Scientist
Analyzes data to extract meaningful insights and create predictive models.
Machine Learning Course in Hyderabad- Salaries
The salary range for professionals in machine learning varies by experience level.
Machine learning is a rapidly growing field with strong demand, which leads to competitive salaries across levels. Many professionals can see further salary growth with continued experience and specialization in advanced machine learning techniques, such as deep learning, natural language processing (NLP), or reinforcement learning.
Mid-Level Roles: Professionals with 2-5 years of experience in roles like Machine Learning Engineer, Data Scientist, or NLP Specialist can earn between ₹8 lakhs to ₹15 lakhs annually. These roles require a solid understanding of ML algorithms, data analysis, and hands-on experience with AI tools. Mid-level professionals are expected to contribute to key projects and work with cross-functional teams.
Senior-Level Roles: Senior-level professionals such as Senior Data Scientists, AI Researchers, and ML Architects can earn anywhere between ₹18 lakhs to ₹35 lakhs annually. These positions demand deep expertise, a strong portfolio of successful projects, and leadership capabilities in managing teams or large-scale AI projects. Senior professionals often take on strategic roles, driving innovation and ensuring AI solutions align with business goals.
Free Machine Learning Course – Demo
Get Started For Free!
The Free Machine Learning Course Demo at AI Generative provides a hands-on introduction to machine learning concepts. It offers practical insights into algorithms, data analysis, and AI applications. This demo session allows you to get a feel for the course structure, explore the learning materials, and gain insights into the training process before committing to the full course.
Why We Are Best in Providing Machine Learning Course in Hyderabad
AI Generative’s Machine Learning course in Hyderabad is designed to provide hands-on experience with industry-standard tools like Python, TensorFlow, and PyTorch. It caters to both beginners and experienced professionals, offering a structured learning path from basics to advanced topics. The course includes personalized mentorship, real-world projects, and lifetime access to study materials. With job placement assistance, interview preparation, and expert guidance, students are well-prepared for AI careers. The curriculum aligns with current industry demands, ensuring graduates have the practical skills employers seek.
Machine Learning Course in Hyderabad- Modes
- In-Person Classes
- Comprehensive Curriculum
- Mentorship Programs
- Assistance till Placed
- Certification training dumps
- Course Materials
- Project based learning
- Interview Guidance
- Recorded Video Access Lifetime
- Certification-oriented
- Affordable course fee
- Basic to advance level
- Including live project
- 100% Placement Assistance
- Interview Guidance
- Whatsapp Group Access
- Lifetime Video Access
- Basic to advance level
- Doubt-clearing Session
- Certificate Training Dumps
- Certification Support
- Course Materials
- Mock Interview Materials
- Interview Guidance
Machine Learning Course in Hyderabad Certification
- Google's TensorFlow Certificate
- IBM AI Engineering Professional Certificate
- Microsoft's Data Science and Machine Learning Certification
- Coursera's Machine Learning by Stanford University (Andrew Ng),
The Machine Learning Course in Hyderabad offers a certification demonstrating your proficiency in key areas of AI and machine learning. This certification validates the skills you acquire throughout the course, including working with tools like Python, TensorFlow, and PyTorch. By completing the course, you gain practical experience and real-world application of machine learning techniques, making the certification valuable for career advancement. The course also includes interview preparation and placement assistance to help you secure a job in the field.
Prerequisites for Machine Learning Course in Hyderabad
The Machine Learning Course in Hyderabad at AIGenerative is designed to accommodate individuals with a basic understanding of programming and mathematics. To get the most out of the course, it is recommended that participants have:
Basic knowledge of Python: Since Python is the primary programming language used in the course, having a foundational understanding of it will be helpful.
Understanding mathematics: Basic concepts in linear algebra, calculus, and probability are beneficial as they form the backbone of many machine learning algorithms.
Familiarity with statistics: Basic statistics, including concepts like mean, median, standard deviation, and distributions, will help you understand data analysis and machine learning models.
Problem-solving mindset: The ability to approach problems logically and analytically is key in programming and machine learning.
Skills Developed After the Machine Learning Course in Hyderabad
After completing the Machine Learning course in Hyderabad at AIGenerative, participants will develop a wide range of skills crucial in AI and machine learning. First, you will become proficient in Python programming, focusing on libraries such as NumPy, Pandas, and Scikit-learn, which are essential for data manipulation and model building. You’ll also gain a strong understanding of key machine-learning algorithms like linear regression, decision trees, and clustering, allowing you to tackle various data-related challenges.
The course also focuses on data preprocessing, teaching you how to clean and prepare data for model training. You’ll master model evaluation and tuning techniques, learn how to assess a model’s performance using metrics like accuracy and precision and improve models through methods like hyperparameter tuning.
Further, you’ll delve into deep learning, gaining experience with neural networks and frameworks like Keras and PyTorch. The course covers Natural Language Processing (NLP), where you will learn how to process and analyze text data, building applications such as chatbots and sentiment analysis tools.
By the end of the course, you will have the practical skills to solve real-world machine-learning problems and be ready for professional roles in AI and machine learning.
Who Should Learn Machine Learning?
Aspiring AI Professionals
Machine learning is the backbone of data science. It enables you to create models that analyze complex data and make predictions.
Researchers
Those in AI or computer science research can use machine learning to explore new algorithms and solve complex problems.
Software Developers
Developers can enhance their skill set by learning machine learning to build intelligent applications and systems.
Engineers
Engineers can apply machine learning to solve real-world problems like robotics, automation, and predictive maintenance.
Mathematics and Statistics Enthusiasts
Machine learning is deeply rooted in mathematical concepts, so anyone with a strong math background will find it a natural fit.
Tech Enthusiasts
Individuals with a passion for AI and emerging technologies can explore machine learning's endless possibilities.
Business Analysts
Business analysts can use machine learning to gain insights from data, optimize processes, and improve decision-making.
Students and Graduates
Students in computer science, engineering, or related fields can benefit from adding machine learning to their skill sets, preparing them for future careers in technology.
100+ Happy Students
Join us to discover the exciting world of Generative AI training in Hyderabad! Whether you’re a business looking to innovate, a developer eager to improve your skills, or simply someone passionate about AI, AI Generative is here to help you learn and harness the power of artificial intelligence.
Ananya R.
The machine learning course was the best investment I’ve made in my career. It covered everything I needed to understand AI, from advanced classes to certification. The fees were reasonable, and the placement assistance helped me secure a top role in data science.”
“I attended the online machine learning classes, which were well-structured and taught by top experts. The course was advanced and practical, and the certification helped me get noticed by top companies. Highly recommended!”
“AIGenerative provided an excellent online course on real-world applications. The content was up-to-date with industry trends, and the placement support helped me land my first role as a machine learning engineer.”
Ravi S.
Anjali M. – “Starting from scratch, this course taught me everything from Python to advanced machine learning techniques. The certification boosted my confidence, and the placement team ensured I found the perfect job.”
“This is the best online machine learning course I have attended. The course content was advanced, and the instructors were industry professionals. The fee was affordable, and I got placed with a top tech company after completing the program.”
“I highly recommend this course for anyone serious about machine learning. The classes were engaging and advanced, and the certification I earned helped me stand out to potential employers. The placement support was fantastic.”
Machine Learning Course in Hyderabad - Market Trend
The global machine learning market is expected to reach $100 billion by 2030, growing at a 40% annual growth rate. This rapid expansion highlights the increasing reliance on ML technologies across industries.
Over 70% of businesses plan to adopt AI and machine learning technologies by 2025, showing that ML is becoming essential for competitive advantage.
In the healthcare sector, machine learning adoption has increased by 45%, particularly in predictive analytics and personalized medicine, improving treatment outcomes and operational efficiency.
Financial institutions have also embraced ML, with 60% of banks using AI for fraud detection, risk management, and automated trading, reflecting its critical role in the financial industry.
E-commerce platforms are enhancing user experience by investing in AI, with 18% more companies focusing on personalization, demand forecasting, and inventory optimization using ML models.
The job market for machine learning professionals has grown significantly, with machine learning roles accounting for 35% more job openings in tech industries, offering substantial career opportunities.
Professionals in machine learning earn up to 30% higher salaries than other tech roles, driven by the demand for specialized expertise in AI and machine learning.
The future of ML looks bright as industries such as automotive, manufacturing, and marketing continue to integrate AI-driven solutions, creating a vast range of job opportunities and further market expansion.
Our Students Are Employed at Top-Tier Companies Like
Frequently Asked Questions-Machine Learning Course in Hyderabad
What is the difference between machine learning and deep learning?
Machine learning (ML) involves algorithms that allow computers to learn from data and make decisions or predictions. Deep learning (DL) is a subset of ML, using neural networks with many layers (hence “deep”) to process large amounts of data. Deep learning is typically used for more complex tasks like image recognition and natural language processing (NLP).
Can I learn machine learning without a background in computer science?
Yes, many machine learning courses are designed to accommodate beginners. While a background in programming, particularly in Python, is helpful, institutions like AIGenerative start from the basics and progressively teach machine learning concepts, making them accessible to learners from diverse fields.
What tools and languages are used in machine learning?
Some of the standard tools and languages used in machine learning include:
- Python (for programming)
- TensorFlow and Keras (for deep learning)
- Scikit-learn (for general machine learning tasks)
- Pandas and NumPy (for data manipulation)
- Jupyter Notebooks (for interactive coding)
How essential is mathematics for machine learning?
strong foundation in mathematics helps me understand many machine-learning concepts. Machine learning algorithms commonly use topics like linear algebra, probability, statistics, and calculus. However, many machine learning courses provide simplified explanations to make it easier for non-math majors to follow along.
What are the prerequisites for a machine learning course?
To enroll in a machine learning course, you typically need:
- Basic programming skills, especially in Python.
- An understanding of fundamental data structures and algorithms.
- Familiarity with mathematics, particularly linear algebra, and statistics (although these can be learned in the course).
Is machine learning only used for data science?
While machine learning is a significant component of data science, it is also used in many other fields. Applications span across industries like healthcare (for diagnostics), finance (for fraud detection), automotive (for autonomous vehicles), marketing (for customer segmentation), and even entertainment (for content recommendations).
What career opportunities exist after completing a machine learning course?
Completing a machine learning course opens the door to a wide range of career opportunities, such as:
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- Data Analyst
- NLP Engineer
- AI Product Manager
Do I need a degree to pursue a career in machine learning?
While a degree in computer science or engineering can be beneficial, it is not strictly necessary. Many successful machine learning professionals come from diverse backgrounds, and practical experience, personal projects, and certifications are often just as valuable.
What is the salary for a machine learning professional?
salary of a machine learning professional depends on the role, experience, and location. In Hyderabad, for example:
- Entry-level roles earn approximately ₹4-6 LPA.
- Mid-level professionals can earn between ₹8-15 LPA.
- Senior-level professionals can earn upwards of ₹20 LPA or more.
Are machine learning courses available online?
Yes, many institutes, including AIGenerative, offer online machine learning courses. These allow learners to study from the comfort of their homes while receiving expert guidance and access to various resources.
Which institute is best for artificial intelligence in Hyderabad?
There are several top institutes in Hyderabad offering AI and Machine Learning courses. Institutes like AIGenerative stand out due to their hands-on training, experienced trainers, industry-aligned curriculum, and job assistance. Courses include advanced topics in AI and ML, along with personalized mentorship.
How do you train generative AI?
Training Generative AI involves teaching models to create data, such as images, text, or music. Techniques like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) are used. The models are trained using vast datasets, refining them through iterative processes to improve their ability to generate realistic outputs.
What is the cost of an artificial intelligence course in Hyderabad?
The cost of AI courses in Hyderabad varies based on the institution and course depth. Prices typically range from ₹30,000 to ₹1,50,000, depending on the duration and level of training (beginner to advanced).