Generative AI Techniques: Generative techniques such as GANs and VAEs will be explored by the students. The students will learn how to employ these models to generate new content, e.g., images, text, or sounds from given data. The transformer models are also presented, which are employed in the majority of applications such as language translation and content generation (e.g., GPT-3).

Hands-on Training: Here, learning through doing is accorded significance. Students are given the chance to acquire hands-on knowledge on commonly used industry-standard AI libraries such as TensorFlow, PyTorch, and Keras. Practical training will be imparted in the form of creating live AI applications, giving first-hand exposure to students in deploying AI models for real-world problems.

Real-World Applications: It is not theory alone because it also demonstrates to the students how AI can be utilized in different healthcare, finance, entertainment, and marketing sectors. Right from developing artificial data to enhancing customer experience with AI chatbots, the students will understand how to implement AI in different business scenarios.

Problem Solving using AI: By the end of the course, students will understand how they can utilize their knowledge of AI in order to solve problems in real life. Right from automating mundane tasks, predicting outcomes, or blue printing solutions based on AI, students can actually implement AI problems in real life by the end of the course.

AI Engineer: 6-10 Lakhs annually AI Engineers deploy and release AI models and algorithms. There are bound to be junior-level jobs at this level.

Data Scientist: 5-8 Lakhs annually Data Scientists extract and interpret big data in such a way that organizations can make data-driven decisions. This figure might be offered to freshers in the offer for junior data science positions.

Machine Learning Engineer: 5-9 Lakhs annually Machine learning engineers are responsible for designing machine learning models. beginners in hands-on model development can look forward to earning this amount.

AI Researcher: 7-12 Lakhs per annum AI Researchers usually stay in research setups in academia or industry, pushing frontiers of existing AI technology. Starting pay for this position can be more as large amounts of knowledge are needed.

AI Product Manager: 7-12 Lakhs per year For aspiring freshers to manage AI product or project, an AI Product Manager is a good paying job. The work is typically a mix of technical expertise and project management expertise.

Entry-Level Jobs: Most students become AI Engineers, Data Scientists, or Machine Learning Engineers. You would be engaged in the design and deployment of AI model and system in these roles.

Mid-Level Jobs: After you have 2-3 years of work experience, you are promoted to a role like Senior AI Engineer or Lead Data Scientist. These are the roles where you are given more complex projects and perhaps even beginning to lead small teams as well.

Specialization: You can specialize in domains like Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning as you progress in your professional journey. Specializing in any of them will render you extremely employable.

Leadership Roles: Having developed a lot of experience, you can move to leadership roles such as AI Team Lead, AI Architect, or Director of AI. Here, you will be required to architect, build, and deploy AI systems at a strategic level.

AI Research: AI research is another career path opportunity in the form of research work on developing AI technology for those who would like to be engaged in developing AI technology. AI researchers work at an organization or a company and develop new models, algorithms, and apps which determine the future of AI.

Massive Demand for AI Experts: With every passing day, more and more industries are adopting AI technology. Therefore, the demand for skilled experts is growing. Organizations are eager to hire experts with expertise in new AI technology, particularly generative models.

Practical Knowledge: This is not a first-year course to impart you with theoretical knowledge but to give you practical hands-on training in the field. You will be able to work on projects that authenticate your skills and give you a portfolio which you can use when marketing yourself to potential employers.

Access to Sophisticated Tools: Sophisticated tools, frameworks, and technologies employed by leading organizations are provided through the program. This ensures that learners stay current with industry demands.

Veteran Trainers: Our trainers in our institute are veterans who have first-hand experience and real-time inputs to the training session. They deconstruct the subject and fill the gap between theory and practice through experience.

Alliance with Top Companies: We are in partnership with top AI companies and startups and introduce students to networking and learning how AI is being used for business today.

Data Scientist: As a Data Scientist, youll analyze large datasets to uncover trends, patterns, and insights. Youll also build machine learning models to make predictions and improve business strategies.

Machine Learning Engineer: ML Engineers focus on creating machine learning algorithms that can be used in various applications. Youll be responsible for developing systems that can learn from data and improve over time.

AI Product Manager: Business and technical strategy converge here. You will be aligning AI projects from development to delivery in this team role as an AI Product Manager with the aim of having the product well-designed to address business needs and user demand.

Technology and IT: Large technology companies like Google, Microsoft, and IBM always need AI professionals to work on creating new products, AI-driven services, and algorithms.

Healthcare is in the process of being transformed by AI, ranging from making the diagnosis more precise to automating back-office operations. Everything, from uncovering new medicines to analyzing patient care, is done by AI engineers and healthcare data scientists.

Finance: In finance, AI eliminates fraud, automates algorithmic trading, and decreases the risk. Banks and fintech companies recruit AI specialists to improve financial models and make more informed decisions.

Retail and E-commerce: AI is employed to enhance shopping personalization, optimize the performance of inventory, and forecast trends. AI is employed by e-commerce giants like Amazon on a huge scale in an effort to realize maximum levels of customer satisfaction.

Entertainment: AI is applied in entertainment and media too for content creation, recommendation algorithms (like that of Netflix), and even game development.

Handpicked Trainers: Our trainers possess industry experience and hands-on training along with a thorough understanding of current AI approaches.

Industry Relevant Training Curriculum: We update our training curriculum periodically to reflect current AI trends and breakthroughs, so you only learn what is currently happening today.

Practice-Based Training: We are strong proponents of practice-based training. You will have an opportunity to work on actual projects and build a strong portfolio.

Placement Support: Our placement assistance department assists students in getting placed after finishing the course. We offer resume creation, mock interviews, and introductions to Hyderabad's top AI recruiters.

Networking Opportunities: We organize events and guest lectures by industry professionals, where you can network with industry professionals and gain insights from their experiences.

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