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Latest Engineers Australia AI Videos

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... 12:12
Launching DSA + Gen AI with Projects | DSA in C++ and Java | Python for ML | 500+ DSA Questions

Fraz

1+ months ago 7K views

Engineers, particularly freshers, question the declining relevance of data structures and algorithms (DSA) in hiring practices. Insights from engineers and recruiters at Google, Microsoft, and Amazon reveal that DSA remains crucial for assessing problem-solving skills, ensuring candidates can be trained in any technology. A new course will cover comprehensive DSA while introducing generative AI and Python to enhance portfolios and knowledge of market trends. Students can also access free playlists on data structures and algorithms while the course, scheduled over 6-8 months, provides mentorship and focuses on interview preparation and career paths in AI and machine learning.
04:37 - 04:42

Career options in AI and ML will be explored during the course.

Machine Learning Education
... 1:1:42
AI Is Here And You Are Screwed If You Don't Take Action | Prime Reacts

ThePrimeTime

1+ months ago 100K views

AI has arrived, and those who do not take action will be left behind. The reality is evolving rapidly, and failure to learn fundamental skills now could mean being outpaced by others in the job market. Engineering and development require adaptation to AI tools, but dependence on them can hinder deeper understanding and skill advancement. Engagement in learning, exploration of specific programming languages, and embracing the evolving tech landscape are key to future success. Without proactive measures, many may find themselves unprepared for the roles that AI will shape in the coming years.
10:05 - 10:21

Potentially impending job market shifts due to AI could create significant challenges.

Machine Learning Education
... 29:55
The Potentials (and Pitfalls) of AI in Structural Engineering

Naveed Anwar

1+ months ago 1K views

Insights reveal that AI could transform structural engineering by enhancing design efficiency and decision-making. Experience and learning shape human judgment, paralleling AI's training through vast data. While challenges arise, such as the need for substantial, quality data and the limitations in AI’s precision compared to human engineers, there's potential for AI to streamline workflows and optimize designs. Upcoming tools may allow engineers to utilize AI for generating and editing designs through conversational input, which could significantly affect design practices and improve outcomes in engineering projects.
15:42 - 16:35

Challenges include data scarcity, necessitating innovative data generation methods.

Machine Learning Research & Innovations
... 12:10
How to Become an $300K AI Engineer in 2025 (complete roadmap)

Sundas Khalid

1+ months ago 4K views

AI engineering is a critical field, evolving since the 1950s, with a burgeoning demand for skilled professionals. The average AI engineer earns between $100,000 and $500,000 annually, making this the ideal time to pursue a career in AI. An AI engineer designs, builds, and maintains intelligent systems, employing machine learning, deep learning, and natural language processing. Important prerequisites include a solid foundation in computer science, Python programming, mathematics, and specialized skills in various AI domains. Hands-on project development, along with collaboration and open-source contributions, are crucial for career growth in this dynamic industry.
02:54 - 03:06

Foundational knowledge in computer science and coding is essential for AI engineering.

Datacamp Machine Learning Education
... 14:29
AI will take your software job, but not mine | Professional Software Engineer Explains

Patrick Collins

1+ months ago 3K views

AI will impact software engineering jobs, particularly diminishing demand for junior developers. As AI tools improve, the expectation is that experienced engineers will utilize AI to enhance their productivity rather than be replaced. While junior roles may decrease, the need for mid-level and senior software engineers is likely to persist as they will play a crucial role in interpreting AI output. Adapting to these changes requires continuous learning and embracing AI tools, ensuring that engineers remain relevant and effective in a technology-driven environment.
04:26 - 05:01

The knowledge requirement to become a software engineer is expected to increase.

Meta Machine Learning AI Trends
... 1:5:32
AI in Mechanical Engineering: How students and teachers can prepare themselves

The Hindu

1+ months ago 2K views

AI is revolutionizing mechanical engineering through innovative methods in data handling, predictive maintenance, and optimization. It enhances design processes with machine learning and aids in decision-making by leveraging vast data sets. Increased automation and smarter control systems are becoming essential in industry applications. The demand for mechanical engineers with AI skills is rising, necessitating curriculum updates in engineering education to integrate AI fundamentals. Faculty must also upskill to stay relevant, ensuring they can effectively teach these new concepts alongside traditional engineering principles.
02:22 - 02:26

Specialists share insights on AI applications in industry and academia.

Machine Learning Education
... 1:29:51
Thought Leaders Series: AI readiness - strategy, technology, and human factor

Engineers Australia

1+ months ago 2K views

AI plays a crucial role in improving engineering practices, emphasizing the integration of advanced technologies into everyday tasks. The focus lies on responsible AI adoption, ensuring accountability and governance within organizations. The significance of data quality, cultural shifts, and innovation strategies is highlighted to foster a conducive environment for AI integration. These frameworks aim to prepare engineers for a future where AI is integral to decision-making processes, ensuring sustainable and effective solutions across various sectors.
12:51 - 12:55

Risk management essentials in AI deployment discussed to mitigate potential issues.

Engineers Australia Machine Learning Education
... 7:20
AI in Network Engineering: The Game Changer You Need to Know! 🚀

YouTechSpiration Channel

1+ months ago 1K views

AI transforms network engineering by predicting issues and reducing downtime, enhancing reliability. Automated predictive maintenance, real-time performance optimization, and advanced security measures leveraging AI ensure smoother connectivity. This technology empowers network engineers to proactively manage complexities, facilitating a future of intelligent, self-healing networks that adapt to evolving demands and threats, ensuring seamless digital experiences for users.
04:37 - 05:02

AI enhances network security by detecting and responding to threats in real time.

Machine Learning Tech & Hardware
... 7:20
AI in Network Engineering: The Game Changer You Need to Know! 🚀

YouTechSpiration Channel

1+ months ago 1K views

AI transforms network engineering by predicting issues and reducing downtime, enhancing reliability. Automated predictive maintenance, real-time performance optimization, and advanced security measures leveraging AI ensure smoother connectivity. This technology empowers network engineers to proactively manage complexities, facilitating a future of intelligent, self-healing networks that adapt to evolving demands and threats, ensuring seamless digital experiences for users.
04:37 - 05:02

AI enhances network security by detecting and responding to threats in real time.

Machine Learning Tech & Hardware